Addiction, adolescence, and the integration of control and motivation
Open accessAbstract
The likelihood of initiating addictive behaviors is higher during adolescence than during any other developmental period. The differential developmental trajectories of brain regions involved in motivation and control processes may lead to adolescents' increased risk taking in general, which may be exacerbated by the neural consequences of drug use. Neuroimaging studies suggest that increased risk-taking behavior in adolescence is related to an imbalance between prefrontal cortical regions, associated with executive functions, and subcortical brain regions related to affect and motivation. Dual-process models of addictive behaviors are similarly concerned with difficulties in controlling abnormally strong motivational processes. We acknowledge concerns raised about dual-process models, but argue that they can be addressed by carefully considering levels of description: motivational processes and top-down biasing can be understood as intertwined, co-developing components of more versus less reflective states of processing. We illustrate this with a model that further emphasizes temporal dynamics. Finally, behavioral interventions for addiction are discussed. Insights in the development of control and motivation may help to better understand - and more efficiently intervene in - vulnerabilities involving control and motivation.
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- Findingcitation
Parieto-occipital P2 potentials evoked by task-irrelevant threatening stimuli are reduced by attentional training in anxious individuals.
“In general agreement with this finding, parieto-occipital P2 potentials evoked by task-irrelevant threatening stimuli have been found to be reduced by attentional training in anxious individuals (Eldar and Bar-Haim, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Eldar and Bar-Haim, 2010
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- Findingcitation
The approach bias for alcohol was moderated by the g-allele of the OPRM1 gene: carriers demonstrated a particularly strong approach bias for alcohol and other appetitive stimuli.
“This bias was moderated by the g-allele of the OPRM1 gene: carriers of a g-allele demonstrated a particularly strong approach bias for alcohol, as well as for other appetitive stimuli (Wiers et al., 2009b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wiers et al., 2009b
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- Findingnone given
Participants who demonstrated the expected change in approach bias drank less during a subsequent taste test.
“Those participants who demonstrated the change in approach bias in the expected direction drank less during a subsequent taste test.”
Quote in the paperSubstantial claim - Findingcitation
In the experimental but not control conditions, patients' approach bias changed into an avoidance bias for alcohol.
“In the experimental but not the control conditions, patients' approach bias changed into an avoidance bias for alcohol.”
Quote in the paperSubstantial claim - Findingcitation
Patients in the experimental conditions showed better treatment outcomes a year later.
“Patients in the experimental conditions showed better treatment outcomes a year later.”
Quote in the paperSubstantial claim
- Findingcitation
In most CBM approaches, patients in both control and experimental groups think they are in the control group.
“Remarkably, in most CBM approaches, patients both in the control group and in the experimental group think that they are in the control group (Beard, 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Beard, 2011 source
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- Premisecitation
Adolescents tend to take more and greater risks than people in other age groups across many life domains.
“Adolescents are known to have a tendency to take more and greater risks than individuals in other age groups in many life domains”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Arnett, 1992 source
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- Premisecitation
Much adolescent risk taking occurs when peers are present.
“much risk taking in adolescents occurs in the presence of peers”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gardner and Steinberg, 2005 source
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- Premisecitation
The probability of starting addictive behaviors is greater in adolescence than in any other developmental stage.
“The likelihood of initiating addictive behaviors is higher during adolescence than during any other developmental period.”
- Also stated in: § 4. Addiction · plain
“most addictive behaviors start in adolescence, when there is a high incidence of experimenting with psychoactive substances such as alcohol, tobacco, and legal and illegal drugs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hibell et al., 2009
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- Also stated in: § 4. Addiction · plain
- Premisecitation
Neuroimaging evidence links adolescent risk taking to an imbalance between prefrontal executive regions and subcortical affect and motivation regions.
“Neuroimaging studies suggest that increased risk-taking behavior in adolescence is related to an imbalance between prefrontal cortical regions, associated with executive functions, and subcortical brain regions related to affect and motivation.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Dual-process models of addiction focus on difficulty controlling unusually strong motivational processes.
“Dual-process models of addictive behaviors are similarly concerned with difficulties in controlling abnormally strong motivational processes.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
When risky decisions mainly involve deliberative processes with little affect, adolescents show risk-taking levels similar to children and adults.
“when risky decisions are made involving mainly deliberative processes and no or little affect (cold CCT), adolescents show the same levels of risk taking as children and adults”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Figner et al., 2009a
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- cites Figner et al., 2009b
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- Premisecitation
Risk-taking behaviors usually follow an inverted U-shaped developmental pattern, low in childhood, peaking in adolescence and young adulthood, and declining afterward.
“Typically, the occurrence of these risk-taking behaviors follows an inverted U-shape pattern across development, being relatively low in childhood, increasing and peaking in adolescence and young adulthood, and declining again thereafter”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
In humans, adolescent bodily and hormonal changes accompany changes in behavior and psychological processes such as motivation, cognitive control, emotion, and social orientation.
“In humans, far-reaching changes in body appearance and function, including hormonal changes, are paralleled by important changes in behavior and psychological processes such as motivation, cognitive control, emotion, and social orientation”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
When affective processes are strongly involved in risky decision making, adolescents take more risks than children and adults.
“heightened involvement of affective processes in risky decisionmaking (in the hot CCT) leads to increased risk taking in adolescents (associated with impoverished use of riskrelevant information), compared to children and adults”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Figner et al., 2009a
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- cites Figner et al., 2009b
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- Premisecitation
An imbalance between relatively strong affective processes and still immature regulatory skills may contribute to the onset of developmental disorders.
“the imbalance between relatively strong affective processes and still immature regulatory skills might contribute to the onset of developmental disorders”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ernst et al., 2006 source
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- Premisecitation
During adolescence, children become increasingly able to control behavior for longer-term goals.
“During adolescence, children increasingly master the ability to control their behavior for the benefit of longer-term goals”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Best et al., 2009 source
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- cites Crone et al., 2006a
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- Premisenone given
Adolescent gains in self-regulation are accompanied by marked changes in motivational processes.
“These advances in self-regulation abilities in adolescence, however, are accompanied by pronounced changes in motivational processes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Criticisms of dual-process models can be answered by distinguishing levels of description, so that motivational processes and top-down biasing are intertwined, co-developing parts of more or less reflective processing.
“We acknowledge concerns raised about dual-process models, but argue that they can be addressed by carefully considering levels of description: motivational processes and top-down biasing can be understood as intertwined, co-developing components of more versus less reflective states of processing.”
Quote in the paperNot a substantial claim - Interpretationcitation
Strong motivational processes combined with relatively weak prefrontal control can be especially disadvantageous for high and dangerous risk taking when affective-motivational processes are strongly triggered, such as in affect-charged situations or with peers present.
“this dynamic of strong motivational processes versus relatively weak prefrontal control can be particularly disadvantageous with respect to high and dangerous levels of risk taking when affective-motivational processes are strongly triggered, for example in affect-charged situations (Figner et al., 2009a,b) or in the presence of peers (Chein et al., 2011;Gardner and Steinberg, 2005).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
The inverted U-shaped pattern seen in everyday risk taking is difficult to capture with laboratory risky choice tasks.
“the inverted U-shape observed in many everyday risk-taking behaviors remains somewhat elusive to assess with laboratory risky choice tasks”
Quote in the paperSubstantial claim - Premisecitation
New initiation of drug use may be triggered by negative affect that is temporarily relieved.
“new initiation of drug use may be triggered by negative affect, which is then temporarily relieved”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Koob and Le Moal, 2008a
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- Premisecitation
Repeated alcohol and drug use produces two broad types of neuro-adaptations.
“Current neurobiological research has identified two broad types of neuro-adaptations that result from repeated alcohol and drug use.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Earlier age of onset is robustly associated with greater risk of later alcohol and drug problems.
“There is a robust association between age of onset and risk for subsequent alcohol and drug problems”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
The frontostriatal model of adolescent decision making describes a potential imbalance between motivational bottom-up processes and controlling top-down processes.
“The above frontostriatal model of adolescent decisionmaking thus describes a potential for imbalance in motivational bottom-up versus controlling top-down processes.”
Quote in the paperSubstantial claim - Premisecitation
Heavy adolescent drinking is associated with later alcohol problems.
“between heavy adolescent drinking and later alcohol problems”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites White et al., 2011 source
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- Premisecitation
Adolescents may find it especially difficult, compared with children and adults, to inhibit approach behavior when appetitive salient cues are present.
“it might be particularly difficult for adolescents (compared to children and adults) to inhibit approach behavior in the presence of appetitive salient cues”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Somerville et al., 2010a
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- Interpretationnone given
Both broad types of drug-related neuro-adaptations are likely to interact with normal developmental risk factors of adolescence.
“Both seem likely to interact with normal developmental risk factors of adolescence”
Quote in the paperNot a substantial claim - Premisecitation
Neural sensitization produces strong impulsive reactions to conditioned cues that signal alcohol or drugs.
“neural sensitization leads to strong impulsive reactions (e.g., attentional biases and approach tendencies) to classically conditioned cues that signal alcohol or drugs”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Robinson and Berridge, 2003 source
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- Premisecitation
There is evidence of striatal hyperactivity during adolescence when anticipating and representing rewards.
“There is evidence for hyperactivity in the striatum during adolescence when anticipating and representing rewards”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
43% of European adolescents have tried alcohol before age 13.
“43% of European adolescents have tried alcohol before the age of 13”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hibell et al., 2009
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- Premisecitation
Animal research indicates that sensitization occurs more rapidly during adolescence.
“there is evidence from animal research that this occurs more rapidly during adolescence”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Brenhouse and Andersen, 2008
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- cites Brenhouse et al., 2008
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- Premisecitation
Most addictive behaviors begin in adolescence, when experimentation with psychoactive substances is common.
“most addictive behaviors start in adolescence, when there is a high incidence of experimenting with psychoactive substances such as alcohol, tobacco, and legal and illegal drugs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hibell et al., 2009
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- Premisecitation
The affective-motivational system includes subcortical areas such as dopamine-rich midbrain regions and their targets, including the striatum and medial prefrontal cortex.
“The affective-motivational system involves subcortical brain areas, including the dopamine-rich areas in the midbrain and their subcortical and cortical targets, including the striatum and the medial prefrontal cortex”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Knutson et al., 2009
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- cites Tom et al., 2007 source
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- Premisecitation
The cognitive top-down control system involves prefrontal regions, especially lateral prefrontal cortex, and posterior parietal regions implicated in self-control, planning, abstract thinking, working memory, and goal-directed behavior.
“The cognitive top-down control system is thought to involve prefrontal regions, particularly the lateral prefrontal cortex, and posterior parietal brain regions, which have been implicated in self-control, planning, abstract thinking, working memory, and goal-directed behavior”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Negative reinforcement processes are associated with severe drug dependence.
“Such negative reinforcement processes are asso-ciated with severe drug dependence”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Koob and Le Moal, 2008b
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- cites Koob and Volkow, 2010 source
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- Interpretationcitation
Anatomical brain development studies support the hypothesis that these brain systems mature at different rates during childhood, adolescence, and young adulthood.
“The hypothesis that these brain systems develop at a different pace during childhood and adolescence and into young adulthood has received support from anatomical brain development studies.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Casey and Jones, 2010
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- cites Galvan, 2010
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- Premisecitation
Adolescents and adults differ in how prone they are to take risks.
“Obviously, there are individual differences in the extent to which adolescents and adults are prone to take risks”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Figner and Weber, in press
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- cites Galvan et al., 2006 source
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- Premisecitation
Animal and human studies show converging neural changes during the transition from childhood to adulthood, including changes in dopamine receptor density, white matter, and gray matter.
“Animal and human studies have shown converging evidence of neural changes in several brain areas during the transition from childhood to adulthood.These include changes in dopamine-receptor densities, changes in white matter (such as increasing myelinization and anatomical connectivity through white matter tracts), and changes in gray matter”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Casey and Jones, 2010
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- cites Spear and Varlinskaya, 2010
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- Premisecitation
Burnett et al. found an inverted U-shaped risk-taking pattern peaking at ages 12-15 using a probabilistic task designed to evoke regret and relief.
“Burnett et al. (2010) found an inverted U-shape in risk taking with a peak in adolescents aged 12-15 years with a probabilistic task designed to evoke regret and relief”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Burnett et al., 2010 source
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- Interpretationreasoning
Even highly reflective cognition is embedded in previously developed associations.
“to emphasize that even highly reflective cognition is embedded in previously developed associations.”
Quote in the paperSubstantial claim - Premisecitation
Dual-process models of addiction emphasize how drug-related consequences affect the relationship between impulsive and reflective processes.
“This imbalance is made explicit in dual-process models of addiction, which emphasize the importance of drug-related consequences on the relationship between impulsive and reflective processes”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Animal research supports the idea that binge drinking strongly affects subsequent brain development involving cognitive and emotional regulatory processes.
“there is relatively strong experimental evidence from animal research (Crews and Boettiger, 2009;Crews et al., 2006Crews et al., , 2007;;Nasrallah et al., 2009), supporting the idea that binge drinking has strong effects on subsequent brain development involving cognitive and emotional regulatory processes.”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
A habitual response becomes increasingly hard to control.
“a habitual response that becomes increasingly hard to control”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Everitt and Robbins, 2005 source
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- Interpretationreasoning
These drug-related neuro-adaptations gradually reduce voluntary control over substance use.
“Note that all of these neuro-adaptations have the effect of gradually decreasing voluntary control over substance use.”
Quote in the paperSubstantial claim - Interpretationreasoning
Cross-sectional human studies cannot establish a causal effect of substances on subsequent brain development.
“these studies are cross-sectional, and can therefore not determine a causal effect of these substances on subsequent brain development”
Quote in the paperSubstantial claim - Premisecitation
Negative affect may trigger an urge to take drugs through associative processes.
“negative affect may trigger an urge to take drugs through associative processes”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baker et al., 2004 source
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- Premisecitation
Heavy alcohol and drug use impairs control functions, especially when heavy use occurs during adolescence.
“there is evidence that heavy alcohol and drug use results in impaired control functions, especially when heavy use takes place during adolescence”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Clark et al., 2008 source
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- Interpretationreasoning
A delay in response execution allows responses and outcomes that are not yet activated to influence behavior.
“such a delay allows responses and outcomes that are yet to be activated, and hence will only be able to compete or cause conflict after some delay, to have a chance of influencing behavior.”
Quote in the paperSubstantial claim - Premisecitation
Adolescent rats that voluntarily consumed high levels of alcohol showed greater risk preference in adulthood than control rats that did not consume alcohol during adolescence.
“Nasrallah and colleagues found that adolescent rats who had voluntarily consumed high levels of alcohol during adolescence, demonstrated greater risk preference in adulthood than control rats who had not consumed alcohol during adolescence.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nasrallah et al., 2009 source
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- Premisecitation
Similar bidirectional relationships between binge drinking and impulsive decision making have been reported in young adults.
“Similar bidirectional relationships between binge-drinking and impulsive decision making have also been reported in young adults”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Adolescents who were heavy drinkers at age 14 but not at ages 15 and 16 moved from an increased impulsivity trajectory back to the normative developmental trajectory.
“adolescents who were heavy drinkers at age 14, but not anymore at age 15 and 16 moved from the increased impulsivity trajectory back to the normative development trajectory.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites White et al., 2011 source
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- Interpretationcitation
A distinction can be drawn between specific top-down biasing processes associated with prefrontal cortex and the higher-level state of reflective processing that includes motivational aspects of control.
“a distinction can be made between specific top-down biasing processes, strongly associated with prefrontal cortex (Cohen et al., 1996;Egner and Hirsch, 2005;Hopfinger et al., 2000;Kouneiher et al., 2009), versus the state of reflective processing, which must exist at a higher level of aggregation to include motivational aspects of control.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
In both adolescence and addiction, risky behavior is thought to result from reflective processes failing to sufficiently modulate impulsive processes.
“In both adolescence and addiction, the literature suggests that risky behavior results from an inability of reflective processes to sufficiently modulate the effects of impulsive processes”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Finn, 2002 source
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- Interpretationnone given
Specific working memory components are not necessarily linked exclusively to reflective or automatic processing, except the central executive, which conceptually overlaps with reflective processing.
“specific components of working memory (e.g., the visuospatial sketch pad) do not appear to necessarily be linked exclusively to either reflective or automatic processing (except the central executive, which appears to conceptually overlap with reflective processing).”
Quote in the paperNot a substantial claim - Interpretationreasoning
Brain activation differentially related to one type of processing cannot logically be taken as evidence for separable processing systems.
“the finding of brain activation differentially related to one or the other type of processing cannot logically be taken as evidence for separable processing systems.”
Quote in the paperNot a substantial claim - Premisecitation
Longitudinal human data and parallel animal work confirm that binge drinking, especially multiple successive detoxifications, can cause brain damage in regions including those involved in cognitive control.
“Longitudinal human data using neuropsychological tests and parallel animal work confirm the assumption that binge drinking (especially multiple successive detoxifications) can result in brain damage in a variety of regions, including those involved in cognitive control”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationcitation
Motivation and control must be interwoven rather than functioning as competing processes.
“Evidently, motivation and control must be interwoven (Hazy et al., 2006;Kouneiher et al., 2009;Pessoa, 2009), as opposed to functioning as competing processes.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationcitation
Generalized improvement from WM training may be due to increased frontoparietal connectivity and changes involving the basal ganglia.
“Effects of WM training on the brain are only beginning to be determined, but it appears that generalized improvement may be due to increased frontoparietal connectivity and changes involving the basal ganglia (Klingberg, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Klingberg, 2010 source
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- Premisecitation
Training of self-control has shown beneficial effects on smoking cessation.
“A related method is the training of selfcontrol, which has also shown beneficial effects on smoking cessation (Muraven, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Muraven, 2010 source
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- Interpretationreasoning
From the perspective developed above, this increased activity suggests reprocessing due to the fast but incorrect attentional response caused by training.
“From the perspective developed above, this increased activity suggests reprocessing due to the fast but incorrect attentional response caused by training.”
Quote in the paperNot a substantial claim - Interpretationreasoning
This suggests an increase in the ability to disengage from, or discontinue reprocessing of, threatening information.
“This suggests an increase in the ability to disengage from, or to discontinue the repro-cessing of, threatening information (Amenedo and Diaz, 1998).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Amenedo and Diaz, 1998
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- Premisecitation
tDCS influences neuronal plasticity.
“Since tDCS also influences neuronal plasticity (Nitsche et al., 2003;Paulus, 2004), a potentially important application would be the combination of tDCS with WM training or other methods.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Nitsche et al., 2003 source
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- cites Paulus, 2004
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- Premisenone given
EEG and MEG studies have revealed consistent relationships between controlled processing and time-frequency domain activity (event-related changes in amplitude or phase of rhythmic neural firing).
“In particular, EEG and MEG studies have revealed consistent relationships between controlled processing and time-frequency domain activity, i.e., event-related changes in the amplitude or phase of rhythmic neural firing patterns.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The success of WM training may revolve around the synergy between motivation and control functions, and in particular the ability to appropriately delay responding.
“The literature on the interplay between motivation and control processes suggests that the success of WM training may revolve around the synergy between such functions, and in particular the ability to appropriately delay responding.”
Quote in the paperNot a substantial claim - Interpretationnone given
The viewpoint predicts that reinforcement of top-down biasing functions and time factors are essential to reflective processing.
“The viewpoint developed here predicts that the reinforcement of top-down biasing functions and time factors are essential to reflective processing.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Outcomes provide positive or negative feedback to responses during reprocessing.
- The authors state this as an assumption: Stimuli activate associated responses, including top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.
- The authors state this as an assumption: A given outcome is not uniquely coupled to a specific response; the association is transient and flexible.
- The authors state this as an assumption: The time allowed for searching for responses and outcomes is determined by processes that defer response execution.
- The authors state this as an assumption: Reflective processing exists as a pattern of interactions between lower-level elements, not as a single separable element.
- Premisecitation
There is mounting evidence for the efficacy of working memory training in groups with sub-optimal working memory, such as children with ADHD.
“Regarding the first type of intervention, aimed at training the likelihood of successful control, there is mounting evidence for the efficacy of working memory (WM) training in groups with sub-optimal working memory, for example children with ADHD (Klingberg et al., 2005; see Klingberg, 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationcitation
The time required to activate reinforced biasing functions and evaluate outcomes may be an essential individual difference determining whether drug-related automatic processes can be controlled.
“The time required to activate previously reinforced biasing functions and to evaluate their outcomes may be an essential individual difference determining whether drug-related automatic processes can be controlled (Lewis, 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lewis, 2011 source
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- The authors state this as an assumption: Outcomes provide positive or negative feedback to responses during reprocessing.
- The authors state this as an assumption: Stimuli activate associated responses, including top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.
- The authors state this as an assumption: A given outcome is not uniquely coupled to a specific response; the association is transient and flexible.
- The authors state this as an assumption: The time allowed for searching for responses and outcomes is determined by processes that defer response execution.
- The authors state this as an assumption: Reflective processing exists as a pattern of interactions between lower-level elements, not as a single separable element.
- Premisecitation
Until now, all training procedures that yielded promising results in addiction did so in adult samples.
“Note that until now, all of these training-procedures, which yielded promising results in addiction, did so in adult samples (either students or adults with addiction problems; however, see Reyna, 2008, for training aimed at healthrelated decision-making in adolescents).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Reyna, 2008 source
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- Interpretationreasoning
Concerns about the adequacy of dual-process models as a theoretical foundation appear addressable in principle, as illustrated by the R3 model.
“However, such concerns appear to be addressable in principle, as illustrated via the R 3 model.”
Quote in the paperSubstantial claim - Study design and conductcitation
In a clinical application, 214 alcohol dependent patients were randomly assigned to experimental conditions (explicit or implicit avoidance training) or control conditions (no training or sham training).
“In a recent first clinical application of this novel approach-bias re-training paradigm (Wiers et al., 2011), 214 alcohol dependent patients were randomly assigned to one of two experimental conditions, in which they were explicitly or implicitly trained to make avoidance movements (pushing a joystick) in response to alcohol pictures, or to one of two control conditions, in which they received no”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wiers et al., 2011 source
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- Premisecitation
Game-like elements have been done successfully for working memory training in children with ADHD.
“as has been done successfully for working memory training in children with ADHD; Prins et al., 2011”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Prins et al., 2011 source
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- May combine two claims. 41
- Classified as probably not a substantial claim. 28
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FindingcitationBoth heavy drinkers and alcoholic patients have an approach bias for alcohol.
“Using this task, it has been shown that both heavy drinkers (Wiers et al., 2009b) and alcoholic patients (Wiers et al., 2011) have an approach bias for alcohol.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Wiers et al., 2009b
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- cites Wiers et al., 2011 source
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FindingcitationWorking memory training has been used successfully in addiction, helping problem drinkers with strong positive memory associations for alcohol, presumably by helping them overcome the bias to approach alcohol driven by those associations.
“WM training has recently also been used successfully in addiction (Houben et al., 2011b), where it was found that it helped problem drinkers with strong positive memory associations for alcohol, presumably because it helped them to overcome the bias to approach alcohol, driven by these associations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Houben et al., 2011b
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FindingcitationThe first controlled training CBM in the alcohol domain found a change in patients' attentional bias for alcohol after training versus irrelevant control training, and an effect on post-treatment abstinence after three months.
“The first controlled training CBM in the alcohol domain (Schoenmakers et al., 2010) found a change in patients' attentional bias for alcohol after training (vs.irrelevant control training) and an effect on post-treatment abstinence after three months.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schoenmakers et al., 2010 source
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Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenA recent meta-analysis in anxiety found a medium effect size (d = .61) for attentional bias modification.
“A recent meta-analysis in the domain of anxiety found a medium effect size for this type of CBM (d = .61).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationTraining attention towards or away from fear stimuli (angry faces) modifies relationships between lateral prefrontal and posterior (fusiform face area) regions, as evidenced by the need to recruit lateral prefrontal cortex to overcome the trained bias.
“It appears that training attention towards or away from fear stimuli (angry faces) modifies relationships between lateral prefrontal and posterior (fusiform face area) regions, as evidenced by the need to recruit lateral prefrontal cortex to overcome the trained bias (Browning et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Browning et al., 2010 source
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FindingcitationIn a preclinical study, generalized effects of approach-avoidance training were found in the same task (novel pictures) and in a different task using words (an approach-avoid alcohol IAT).
“Generalized effects were found both in the same task (novel pictures, close generalization) and in a different task, employing words instead of pictures: an approach avoid alcohol Implicit Association Test (IAT; Greenwald et al., 1998).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Greenwald et al., 1998 source
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FindingcitationThis effect generalized to untrained pictures in the CBM task and to an IAT categorizing alcohol and soft-drink words with approach and avoidance words.
“This effect generalized to untrained pictures in the task used in the CBM and to an IAT, in which alcohol and soft-drink words were categorized with approach and avoidance words.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationMost adolescents with substance use problems do not believe they have a problem; in one study, while 75% of 96 late adolescents met criteria for substance use problems, only one indicated having a problem.
“While 75% of the sample of 96 late adolescents met criteria for substance use problems, only one individual indicated to have a problem, Wiers et al., 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wiers et al., 2005 source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdolescence is the developmental interval between childhood and adulthood and occurs in humans and other mammals.
“Adolescence is the developmental period between childhood and adulthood, shared by humans and other mammal species (Dahl, 2004;Spear, 2000).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningDifferent developmental timetables of motivation-related and control-related brain regions may produce greater adolescent risk taking, and drug-use neural effects may worsen this.
“The differential developmental trajectories of brain regions involved in motivation and control processes may lead to adolescents' increased risk taking in general, which may be exacerbated by the neural consequences of drug use.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn a simulated driving game, the presence of peers increases risk taking in adolescents but not in adults.
“the presence of peers leads to increased risk taking in adolescents (but not adults) when making choices between driving through versus stopping at traffic intersections with a yellow light”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationDuring adolescence, independence from parents increases and peers become more important.
“adolescents achieving greater independence from their parents and, in turn, peers growing in importance”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Blakemore, 2008 source
Not checked in the free run.
- cites Brown, 2004
Not checked in the free run.
May combine two claims.
PremisecitationA model-based fMRI study found increased striatal neural signals for positive prediction errors in adolescents compared with children and adults, possibly contributing to greater risk taking.
“a recent model-based fMRI study showed increased neural signals for positive prediction errors in the striatum in adolescents (compared to children and adults), again possibly contributing to increased risk-taking behaviors in this age group”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cohen et al., 2010 source
Not checked in the free run.
May combine two claims.
PremisecitationIn later phases of addiction, habitual responses become important and cues automatically trigger approach reactions outside voluntary control.
“In later phases of addiction, habitual responses become important, with cues automatically triggering approach-reactions, outside voluntary control”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Everitt and Robbins, 2005 source
Not checked in the free run.
May combine two claims.
PremisecitationCauffman et al. found an inverted U-shape on the Iowa Gambling Task, but the measure reflected approach motivation rather than risk taking itself.
“Cauffman et al. (2010) also found an inverted U-shape in a risky choice task (the Iowa Gambling Task), but the measured behavior captured approach motivation (or sensitivity to expected value) rather than risk taking itself.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cauffman et al., 2010 source
Not checked in the free run.
May combine two claims.
PremisecitationSeveral laboratory studies found monotonically decreasing risk taking across childhood, adolescence, and adulthood, possibly because the tasks captured cold cognitive processes.
“several other laboratory studies have found evidence for monotonically decreasing risk-taking levels across childhood, adolescence, and adults, which may indicate that these tasks captured more the cognitive or cold processes involved in evaluating risks”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Crone et al., 2008 source
Not checked in the free run.
- cites Weller et al., 2010
Not checked in the free run.
May combine two claims.
PremisecitationSteinberg et al. found an inverted U-shape with a self-report measure, but their behavioral measure showed adolescents taking fewer risks than children and adults.
“Steinberg et al. (2008) found an inverted U-shape pattern with a self-report measure, but their behavioral measure (a task similar to the one used in Gardner and Steinberg, 2005) showed a developmental pattern resembling a non-inverted U-shape with adolescents apparently taking less risks than children and adults.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Steinberg et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenMost adolescents experiment with at least some addictive substances, but only a few become addicted.
“while most adolescents experiment with at least some addictive substances, only few of them become addicted.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningGeneralizing animal evidence on binge drinking to humans is difficult because human cognitive control over emotion may develop longer and participants cannot be randomly assigned.
“The difficulty with this line of evidence lies in the generalization to humans, where cognitive control over emotional processes may develop over a longer period and to a greater extent and where participants cannot be randomly assigned to conditions.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningMounting evidence suggests that adolescent substance use may exaggerate the normal inverted U-shaped curve of risky behavior and may in some cases postpone or prevent the usual early-adulthood decline in risky behaviors.
“there is mounting evidence that adolescent substance use may exaggerate the normal inverted U curve of risky behavior in adolescence, and may in some cases (related to heavy substance use and/or premorbid levels of impulsivity) postpone or even prevent the decrease in risky behaviors normally starting in early adulthood.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationHigher working memory capacity and interference control capacity weaken the impact of alcohol-related automatic processes.
“findings showing that higher working memory capacity (Grenard et al., 2008;Thush et al., 2008) and interference control capacity (Houben and Wiers, 2009;Wiers et al., 2009a) weaken the impact of alcohol-related automatic processes.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Grenard et al., 2008 source
Not checked in the free run.
- cites Houben and Wiers, 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningA slowly activated response may eventually yield a better ultimate outcome than a more immediately available response with a strongly associated payoff.
“A slowly activated response may eventually be found to provide a better ultimate outcome (i.e., match to cue-evoked goals) than a more immediately available response with a strongly associated payoff.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningReflective processing exists as a pattern of interactions among lower-level elements, not as a single element separable from reinforced associations or affective-motivational processing, nor as identifiable with neural systems for top-down biasing.
“reflective processing (or, here synonymously, controlled processing) exists here as a pattern of interactions between elements at lower levels of description, rather than as any single element of the model separable from reinforced associations or affective-motivational processing, or identifiable with neural systems involved with top-down biasing.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe literature on adolescent risk taking and addiction converges on the idea of dual processes: two qualitatively different types of process underlie behavior and may compete for control.
“The literature on adolescent risk-taking and addiction converges on the idea of dual processes, i.e., the existence of two qualitatively different types of process that underlie and may compete for control of behavior”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationThe binary characteristics that define impulsive or automatic versus reflective or controlled processing do not perfectly covary, making a simple binary division of processes untenable.
“the sets of binary characteristics that define impulsive/automatic versus reflective/controlled processing do not perfectly covary; e.g., a process may be efficient (a property of automatic processes) but still depend on intentions (a property of controlled processes)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bargh, 1994
Not checked in the free run.
- cites Evans, 2008 source
Not checked in the free run.
- cites Moors and De Houwer, 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe time allowed for searching responses and outcomes is determined by processes that defer response execution.
“The time allowed for the search for responses and outcomes is determined by the set of processes that defer response execution”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenThe essential role of motivation in dual-process theories is often unexplained, risking the implicit introduction of a motivational homunculus.
“the essential role of motivation in dual-process theories, that is, why controlled processing does what and when, is often unexplained.This risks implicitly introducing a motivational homunculus”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationModels or metaphors that define dual processes as dual systems have been criticized as lacking strong evidence.
“models or metaphors in which dual processes are defined in terms of dual systems (rather than sets of essential properties) have been criticized as lacking strong evidence”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Keren and Schul, 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is increasing interest in integrating motivation and reinforcement with controlled processing.
“there has been increasing interest in the integration of motivation and reinforcement on the one hand and controlled processing on the other”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationWhite et al. found that impulsive behaviors prospectively predicted binge drinking and that binge drinking predicted increases in impulsive behaviors.
“White et al., 2011) found that impulsive behaviors prospectively predicted binge drinking and also that binge drinking predicted increases in impulsive behaviors.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites White et al., 2011 source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenSome form of prior learning must underlie the evaluation and selection of top-down biasing in reflective processing.
“Evidently, some form of prior learning must underlie the evaluation and selection of top-down biasing in reflective processing”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningConditioning processes and learned associations exist at a different level of description than reflective or automatic processing and can play a role in either.
“conditioning processes and learned associations exist at a different level of description than either reflective or automatic processing; that is, such processes do not need to be identified as either reflective or automatic, but could play a role in either.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe R3 model predicts that combining changes at multiple points (e.g., association strength, expected outcomes, temporal threshold) could produce significant changes in system behavior.
“The model suggests that especially combining such changes could result in significant changes in the system's behavior.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Outcomes provide positive or negative feedback to responses during reprocessing.
- The authors state this as an assumption: Stimuli activate associated responses, including top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.
- The authors state this as an assumption: A given outcome is not uniquely coupled to a specific response; the association is transient and flexible.
- The authors state this as an assumption: The time allowed for searching for responses and outcomes is determined by processes that defer response execution.
- The authors state this as an assumption: Reflective processing exists as a pattern of interactions between lower-level elements, not as a single separable element.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningEEG and MEG may be an important method for testing hypotheses about the dynamics of reflective processing.
“Further, electroencephalography (EEG) and magnetoencephalography (MEG) may form a potentially important method for testing hypotheses concerning the dynamics of reflective processing.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenIf care is taken to disentangle theoretical constructs at different levels of description, dual-processing may still be considered a valid theoretical foundation for work on addiction and adolescence.
“Thus, if care is taken to disentangle theoretical constructs that may exist at different levels of description then dual-processing may still be considered a valid theoretical foundation for work on addiction and adolescence.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Outcomes provide positive or negative feedback to responses during reprocessing.
- The authors state this as an assumption: Stimuli activate associated responses, including top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.
- The authors state this as an assumption: A given outcome is not uniquely coupled to a specific response; the association is transient and flexible.
- The authors state this as an assumption: The time allowed for searching for responses and outcomes is determined by processes that defer response execution.
- The authors state this as an assumption: Reflective processing exists as a pattern of interactions between lower-level elements, not as a single separable element.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFrom the R3 perspective, tDCS effects could be explained by increased ability to find an escape route from a craving cycle, as anodal prefrontal stimulation would facilitate activation of necessary cognitive representations and top-down biasing.
“From the R 3 perspective this could be explained in terms of increased ability to find an escape route from a craving cycle, as anodal prefrontal stimulation would be expected to facilitate the activation of necessary cognitive representations and top-down biasing.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn approach bias for substance-related stimuli has recently been addressed with re-training.
“Recently, another cognitive bias in addiction has been addressed with re-training: an approach-bias for substance-related stimuli.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenMost work on cognitive bias modification has been on attentional bias modification, with promising clinical effects in anxiety and alcoholism.
“Most work has been done on attentional bias modification, with promising clinical effects in anxiety and alcoholism.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe top-down biasing aspect of working memory, or executive control functions, as well as control of access to WM, are trainable.
“This suggests that the top-down biasing aspect of working memory, or executive control functions, as well as control of access to WM are trainable.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAfter promising preclinical studies, first successful clinical applications of attentional bias modification have been reported in targeted prevention and in clinically anxious patient groups, with maintenance of clinical improvement four months after training.
“After promising preclinical studies (MacLeod et al., 2002), first successful clinical applications have been reported in targeted prevention (See et al., 2009) and in clinically anxious patient groups (Amir et al., 2009;Schmidt et al., 2009), and targeted prevention (See et al., 2009) with maintenance of clinical improvement reported four months after the training (Schmidt et al., 2009).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVery fine-grained temporal coding of neural activity could be of fundamental importance to brain function.
“Further, the very fine-grained temporal coding of neural activity (Roelfsema et al., 1997;Singer et al., 1996;Tallon-Baudry et al., 1999) could be of fundamental importance to brain function.”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationOscillations in neural activity appear to be involved in working memory capacity, task set and movement preparation, and separation of subsets of information currently in working memory.
“as oscillations in neural activity appear to be involved in working memory capacity (Benchenane et al., 2011;Kaminski et al., 2011;Moran et al., 2010), task set and movement preparation (Gladwin et al., 2006(Gladwin et al., , 2008;;Gladwin and De Jong, 2005) and the separation of subsets of information currently in working memory (Lisman, 2005;Sauseng et al., 2010).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningEffects of tDCS on concurrent training could be persistent, either via plasticity or by aiding the subject to perform the training task at a higher level.
“While the immediate effect of tDCS are temporary, its effects on concurrent training could be persistent, either via plasticity or by aiding the subject in performing the training task at a higher level of performance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningFrom the above perspective, interventions can be seen as beneficially biased learning environments in which reinforcement can increase the chance of successful controlled processing or reduce the need for it.
“From the above perspective, interventions can be seen as beneficially biased learning environments, in which reinforcement can be provided that will either increase the chance of successful controlled processing, or reduce the need for it.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationIf controlled processing is a dynamic set of interacting factors, then even small effects may have significant results; for example, learning to delay response selection slightly may allow a qualitatively different set of responses to be selected and reinforced.
“However, note that if controlled processing is indeed a dynamic set of interacting factors, then even small effects may have significant results; e.g., if participants learn to delay response selection even slightly, this may allow a qualitatively different set of responses to be selected and reinforced (Siegel, 1978).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Siegel, 1978 source
Not checked in the free run.
- Rests on an assumption: Controlled processing is a dynamic set of interacting factors.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningAdolescents may not yet have learned that stressful emotional situations evoking fast responses can sometimes benefit from a more reflective state.
“Alternatively, the criterion for settling on a response is influenced by emotional or motivational salience in a particular task context: perhaps adolescents have yet to learn that stressful, emotional situations that may naturally evoke a tendency for fast responses may sometimes benefit from a more reflective state.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDue to their high temporal resolution and specific relationships to neural activity, EEG and MEG can complement other neuroimaging modalities and allow tests of sub-second timing of events in reflective processing.
“Due to their high temporal resolution and their specific relationships to neural activity such methods can complement other neuroimaging modalities, allowing tests of the sub-second timing of events involved in reflective processing.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationtDCS can facilitate dorsolateral prefrontal activity, leading to enhanced working memory and reductions in craving for alcohol, food, and cigarettes.
“In addition to behavioral WM training, there is also emerging evidence that low voltage electrical stimulation at the scalp (transcranial Direct Current Stimulation, or tDCS) can facilitate dorsolateral prefrontal activity, leading to enhanced working memory (Fregni et al., 2005) and reductions in craving for alcohol (Boggio et al., 2008), food (Fregni et al., 2008b) and cigarettes (Boggio et al.,”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningRelationships between stress and addictive behavior and drug-related biases may reflect a narrowing of the time window relative to reprocessing time required to select a slowly activated response or one whose superior expected outcome is slower to retrieve.
“Similarly, the relationships between stress and addictive behavior and drug-related biases may reflect a narrowing of the time window relative to the reprocess-ing time required to select a slowly activated response, or one in which the superior value of the expected outcome is slower to be retrieved.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe criterion for settling on a response is influenced by emotional or motivational salience in a particular task context.
“Alternatively, the criterion for settling on a response is influenced by emotional or motivational salience in a particular task context: perhaps adolescents have yet to learn that stressful, emotional situations that may naturally evoke a tendency for fast responses may sometimes benefit from a more reflective state.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThe time allowed for searching better outcomes and the internal criteria for settling on a preferred cognitive action may play similar roles.
“The time allowed for searching for better outcomes, and the internal criteria for settling on a currently preferred (cognitive) action may play similar roles.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Outcomes provide positive or negative feedback to responses during reprocessing.
- The authors state this as an assumption: Stimuli activate associated responses, including top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.
- The authors state this as an assumption: A given outcome is not uniquely coupled to a specific response; the association is transient and flexible.
- The authors state this as an assumption: The time allowed for searching for responses and outcomes is determined by processes that defer response execution.
- The authors state this as an assumption: Reflective processing exists as a pattern of interactions between lower-level elements, not as a single separable element.
May combine two claims.
PremisecitationThis approach bias has been documented for cigarette cues in smokers, marijuana cues in marijuana users, and alcohol in heavy drinkers.
“This bias has been documented for a variety of substances with a variety of instruments: for cigarette-cues in smokers (Mogg et al., 2003), for marijuana-cues in marijuana users (Field et al., 2006), and for alcohol in heavy drinkers (Field et al., 2008;Ostafin and Palfai, 2006;Palfai and Ostafin, 2003).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningTo avoid subsequent behavioral consequences, an alternative response must be effectively available: existing as a neural representation, associated with the stimulus, associated with alternative positive outcomes, and selectable within the context's reprocessing time.
“To avoid subsequent behavioral consequences, an alternative response would need to be effectively available, i.e., existing as a neural representation, associated with the stimulus, associated with alternative positive outcomes and selectable within the reprocessing time associated with the context.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationOther paradigms such as evaluative conditioning, neurofeedback training, and inhibition training with problem-related stimuli have shown promising results but have only been tested in student samples.
“In addition to these re-training paradigms, other paradigms have been developed which demonstrated promising results, such as evaluative conditioning (Houben et al., 2010), neurofeedback training (Sokhadze et al., 2008) and inhibition training in the context of problemrelated stimuli (Houben et al., 2011a), but these procedures have as yet only been tested in student samples.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenMotivation to participate in training is an important issue, especially for adolescent addiction problems.
“One important issue, which is especially important in the context of adolescent addiction problems, is motivation to participate in a training (or more generally in any intervention).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThe integration of motivation and control appears critical not only to individual development but also to further development of theory in cognitive neuroscience.
“In conclusion, the integration of motivation and control appears critical not only to the development of individuals, but also to the further development of theory in cognitive neuroscience.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe literature on adolescence dovetails with that on addiction in theoretical bases (imbalances described as dual processes) and in likely substantial interactions: adolescent vulnerabilities map onto what makes addictive substances harmful.
“The literature on adolescence dovetails with that on addiction, both in terms of the theoretical bases -imbalances are proposed that can be broadly described in terms of dual processes -but also in terms of likely substantial interactions: the vulnerabilities of adolescents map onto what makes addictive substances harmful.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenDevelopments in dual-process models may provide stronger scientific grounding for cognitive bias modification and novel intervention targets, such as conditioned delaying of response selection in risky situations.
“Developments in dualprocess models may provide stronger scientific grounding for cognitive bias modification as well as novel intervention targets, such as the conditioned delaying of response selection in risky situations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenAdolescents with substance use problems who recognize a problem must be convinced that training makes sense.
“Second, should they recognize that they have a problem (or at least that reducing substance use might not be a bad idea), they have to be convinced that it makes sense to do the training.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenMaladaptive learning processes leading to states of reflective and impulsive processing may be essential to understanding motivated behavior.
“In particular, the (mal-) adaptive learning processes leading to states of reflective and impulsive processing may be essential to understanding motivated behavior.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenDual-process models of addiction provide hypotheses why adolescents are at increased risk of substance abuse and have suggested interventions already successfully applied in adults.
“In practical terms, dualprocess models of addiction not only provide hypotheses why adolescents are at increased risk of substance abuse, but have also suggested interventions that have already been successfully applied in adults.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Outcomes provide positive or negative feedback to responses during reprocessing.
“Outcomes are assumed to provide positive or negative feedback to responses during reprocessing.”
“Outcomes are assumed to provide positive or negative feedback to responses during reprocessing.”
The authors state this as an assumption.
A given outcome is not uniquely coupled to a specific response, so the association is more transient and flexible than stimulus-response-outcome connections.
“since a given outcome is not assumed to be uniquely coupled to a specific response, the association is considered to be more transient and flexible than the stimulus-response-outcome connections”
The authors state this as an assumption.
Stimuli activate associated responses, including top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.
“Subfigure (A) Stimuli are proposed to activate associated responses, including generalized cognitive responses such as top-down biasing, which in turn activate expected outcomes via stimulus-response-outcome associations.”
The authors state this as an assumption.
A given outcome is not uniquely coupled to a specific response; the association is transient and flexible.
“However, since a given outcome is not assumed to be uniquely coupled to a specific response, the association is considered to be more transient and flexible than the stimulus-response-outcome connections, as represented by the different line style (curved and shaded).”
The authors state this as an assumption.
The time allowed for searching for responses and outcomes is determined by processes that defer response execution.
“The time allowed for the search for responses and outcomes is determined by the set of processes that defer response execution, represented here by the stop sign and its inhibitory effect on response execution (circle-headed arrows).”
The authors state this as an assumption.
Reflective processing exists as a pattern of interactions between lower-level elements, not as a single separable element.
“Note that reflective processing (or, here synonymously, controlled processing) exists here as a pattern of interactions between elements at lower levels of description, rather than as any single element of the model separable from reinforced associations or affective-motivational processing, or identifiable with neural systems involved with top-down biasing.”
The paper relies on this without support.
Controlled processing is a dynamic set of interacting factors.
“However, note that if controlled processing is indeed a dynamic set of interacting factors, then even small effects may have significant results; e.g., if participants learn to delay response selection even slightly, this may allow a qualitatively different set of responses to be selected and reinforced (Siegel, 1978).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The findings support models that state that multiple deficits, both executive and motivational, give rise to ADHD, and models that emphasize the intertwined nature of executive control and motivation to control.
“Our findings therefore support models that state that multiple deficits, both executive and motivational, give rise to ADHD (e.g., the dual pathway model, Sonuga-Barke 2002), and models that emphasize the intertwined nature of executive control and motivation to control (Castellanos et al. 2006; Gladwin et al. 2011; Sonuga-Barke et al. 2008).”
From Can Motivation Normalize Working Memory and Task Persistence in Children with Attention-Deficit/Hyperactivity Disorder? The Effects of Money and Computer-Gaming (2012) · cites this paper as Gladwin et al. 2011
The brain mechanisms of interest here show a distinctive pattern of development: subcortical regions involved in incentive motivation develop faster than the prefrontal regions that exert inhibition in the interests of long-term consequences.
“The brain mechanisms of interest here show a distinctive pattern of development: subcortical regions involved in incentive motivation develop faster than the prefrontal regions that exert inhibition in the interests of long-term consequences (Gladwin et al., 2011;Wahlstrom et al., 2010).”
From A motivation model of sex addiction – Relevance to the controversy over the concept (2022) · cites this paper as Gladwin et al., 2011
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803 · see citing works
Measuring individual differences in implicit cognition: The implicit association test.
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.74.6.1464 · Cited by 11,720 · see citing works
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670 · see citing works
Measuring individual differences in implicit cognition: the implicit association test
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.6.1464 · Cited by 9,210 · see citing works
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335 · see citing works
The adolescent brain and age-related behavioral manifestations
Spear, L. P. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(00)00014-2 · Cited by 5,433 · see citing works
Koob, G. F., & Volkow, N. D. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.110 · Cited by 5,340 · see citing works
Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition
Evans, J. S. B. T. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093629 · Cited by 5,137 · see citing works
Wyer, R. S., & Srull, T. K. (2014) · Psychology Press eBooks · doi:10.4324/9781315807102 · Cited by 4,211 · see citing works
Reflective and Impulsive Determinants of Social Behavior
Strack, F., & Deutsch, R. (2004) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0803_1 · Cited by 3,984 · see citing works
Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
Everitt, B. J., & Robbins, T. W. (2005) · Nature Neuroscience · doi:10.1038/nn1579 · Cited by 3,785 · see citing works
A social neuroscience perspective on adolescent risk-taking
Steinberg, L. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.002 · Cited by 3,644 · see citing works
Casey, B. J., Jones, R. M., & Hare, T. A. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.010 · Cited by 3,345 · see citing works
Cognitive and affective development in adolescence
Steinberg, L. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.12.005 · Cited by 2,978 · see citing works
Handbook of Adolescent Psychology
(2009) · doi:10.1002/9780470479193 · Cited by 2,938 · see citing works
Gardner, M., & Steinberg, L. (2005) · Developmental Psychology · doi:10.1037/0012-1649.41.4.625 · Cited by 2,218 · see citing works
Addiction motivation reformulated: an affective processing model of negative reinforcement
Baker, T. B., Piper, M. E., McCarthy, D. E., Majeskie, M. R., & Fiore, M. C. (2004) · Psychological Review · doi:10.1037/0033-295x.111.1.33 · Cited by 2,162 · see citing works
Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective
Bechara, A. (2005) · Nature Neuroscience · doi:10.1038/nn1584 · Cited by 2,149 · see citing works
Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment.
Busemeyer, J., & Townsend, J. (1993) · Psychology Review · doi:10.1037/0033-295x.100.3.432 · Cited by 2,000 · see citing works
Computerized training of working memory in children with ADHD – a randomized, controlled trial
Klingberg, T., Fernell, E., Olesen, P. J., Johnson, M., Gustafsson, P., Dahlström, K., Gillberg, C. G., Forssberg, H., & Westerberg, H. (2005) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200502000-00010 · Cited by 1,949 · cited 2× · see citing works
“Regarding the first type of intervention, aimed at training the likelihood of successful control, there is mounting evidence for the efficacy of working memory (WM) training in groups with sub-optimal working memory, for example children with ADHD (Klingberg et al., 2005; see Klingberg, 2010).”
The social brain in adolescence
Blakemore, S.-J. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2353 · Cited by 1,896 · see citing works
The neural mechanisms of top-down attentional control
Hopfinger, J. B., Buonocore, M. H., & Mangun, G. R. (2000) · Nature Neuroscience · doi:10.1038/72999 · Cited by 1,876 · see citing works
Casey, B. J., Getz, S., & Galvan, A. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.003 · Cited by 1,810 · see citing works
The neural basis of loss aversion in decision-making under risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007) · Science · doi:10.1126/science.1134239 · Cited by 1,733 · see citing works
Adolescent Brain Development: A Period of Vulnerabilities and Opportunities. Keynote Address
DAHL, R. E. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.001 · Cited by 1,667 · see citing works
Age-related change in executive function: Developmental trends and a latent variable analysis
Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.01.010 · Cited by 1,636 · see citing works
Training and plasticity of working memory
Klingberg, T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.002 · Cited by 1,585 · see citing works
Bargh, J. A. (1994) · Cited by 1,581 · see citing works
Steinberg, L., Albert, D., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008) · Developmental Psychology · doi:10.1037/a0012955 · Cited by 1,542 · see citing works
Robinson, T. E., & Berridge, K. C. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145237 · Cited by 1,509 · see citing works
Addiction and the brain antireward system
Koob, G. F., & Le Moal, M. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093548 · Cited by 1,457 · see citing works
Automaticity: A Theoretical and Conceptual Analysis.
Moors, A., & Houwer, J. D. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.2.297 · Cited by 1,422 · see citing works
MacLeod, C., Rutherford, E., Campbell, L., Ebsworthy, G., & Holker, L. (2002) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.111.1.107 · Cited by 1,334 · see citing works
How do emotion and motivation direct executive control?
Pessoa, L. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.01.006 · Cited by 1,286 · see citing works
Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1062-06.2006 · Cited by 1,282 · see citing works
Reyna, V. F., & Farley, F. (2006) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2006.00026.x · Cited by 1,244 · see citing works
Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry
Chein, J., Albert, D., O’Brien, L., Uckert, K., & Steinberg, L. (2011) · Developmental Science · doi:10.1111/j.1467-7687.2010.01035.x · Cited by 1,180 · see citing works
Anodal transcranial direct current stimulation of prefrontal cortex enhances working memory
Fregni, F., Boggio, P. S., Nitsche, M., Bermpohl, F., Antal, A., Feredoes, E., Marcolin, M. A., Rigonatti, S. P., Silva, M. T. A., Paulus, W., et al. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-2334-6 · Cited by 1,159 · see citing works
Visuomotor integration is associated with zero time-lag synchronization among cortical areas
Roelfsema, P. R., Engel, A. K., König, P., & Singer, W. (1997) · Nature · doi:10.1038/385157a0 · Cited by 1,136 · see citing works
Egner, T., & Joy Hirsch, C. (2005) · Nature Neuroscience · doi:10.1038/nn1594 · Cited by 1,095 · see citing works
Adolescent cortical development: A critical period of vulnerability for addiction
Crews, F., He, J., & Hodge, C. (2007) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2006.12.001 · Cited by 1,091 · see citing works
Nitsche, M. A., Schauenburg, A., Lang, N., Liebetanz, D., Exner, C., Paulus, W., & Tergau, F. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321662994 · Cited by 1,032 · see citing works
Somerville, L. H., Jones, R. M., & Casey, B. J. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.07.003 · Cited by 1,025 · see citing works
Neuroeconomics: decision making and the brain
(2014) · Choice Reviews Online · doi:10.5860/choice.51-5702 · Cited by 1,020 · see citing works
Executive functions after age 5: Changes and correlates.
Best, J. R., Miller, P. H., & Jones, L. L. (2009) · Developmental Review · doi:10.1016/j.dr.2009.05.002 · Cited by 1,007 · see citing works
Risk taking in adolescence: What changes, and why?
STEINBERG, L. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.005 · Cited by 963 · see citing works
Reckless behavior in adolescence: A developmental perspective
ARNETT, J. (1992) · Developmental Review · doi:10.1016/0273-2297(92)90013-r · Cited by 917 · see citing works
Adolescents' Relationships with Peers
Brown, B. B. (2004) · doi:10.1002/9780471726746.ch12 · Cited by 913 · see citing works
Wiers, R. W., Eberl, C., Rinck, M., Becker, E. S., & Lindenmeyer, J. (2011) · Psychological Science · doi:10.1177/0956797611400615 · Cited by 912 · see citing works
Self-citationControl mechanisms in working memory: A possible function of EEG theta oscillations
Sauseng, P., Griesmayr, B., Freunberger, R., & Klimesch, W. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.006 · Cited by 853 · see citing works
Handbook of Adolescent Psychology
(2004) · doi:10.1002/9780471726746 · Cited by 828 · see citing works
The teen brain: insights from neuroimaging
Giedd, J. N. (2008) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2008.01.007 · Cited by 775 · see citing works
Wiers, R. W., Bartholow, B. D., van den Wildenberg, E., Thush, C., Engels, R. C. M. E., Sher, K. J., Grenard, J., Ames, S. L., & Stacy, A. W. (2007) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2006.09.021 · Cited by 734 · see citing works
Self-citationTriadic model of the neurobiology of motivated behavior in adolescence.
ERNST, M., PINE, D. S., & HARDIN, M. (2006) · Psychological Medicine · doi:10.1017/s0033291705005891 · Cited by 718 · see citing works
Lateral prefrontal cortex and self-control in intertemporal choice
Figner, B., Knoch, D., Johnson, E. J., Krosch, A. R., Lisanby, S. H., Fehr, E., & Weber, E. U. (2010) · Nature Neuroscience · doi:10.1038/nn.2516 · Cited by 706 · see citing works
Self-citationApproach and avoidance in fear of spiders
Rinck, M., & Becker, E. S. (2006) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2006.10.001 · Cited by 706 · see citing works
Neurobiological mechanisms for opponent motivational processes in addiction
Koob, G. F., & Moal, M. L. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0094 · Cited by 702 · see citing works
Klingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317205276 · Cited by 695 · see citing works
Hofmann, W., Friese, M., & Wiers, R. (2008) · Health Psychology Review · doi:10.1080/17437190802617668 · Cited by 694 · see citing works
Self-citationTwo Is Not Always Better Than One
Keren, G. B., & Schul, Y. (2009) · Perspectives on Psychological Science · doi:10.1111/j.1745-6924.2009.01164.x · Cited by 694 · see citing works
Neurobiology of the Adolescent Brain and Behavior: Implications for Substance Use Disorders
Casey, B. J., & Jones, R. M. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.08.017 · Cited by 692 · see citing works
Impulsivity, frontal lobes and risk for addiction
Crews, F. T., & Boettiger, C. A. (2009) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2009.04.018 · Cited by 679 · see citing works
Neuroeconomics: Decision Making and the Brain
Rushworth, M. F. S., & Walton, M. E. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.005 · Cited by 669 · see citing works
Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Blair, J., & Pine, D. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.038 · Cited by 635 · see citing works
Figner, B., Mackinlay, R. J., Wilkening, F., & Weber, E. U. (2009) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0014983 · Cited by 625 · see citing works
Self-citationA theory of medical decision making and health: fuzzy trace theory
Reyna, V. F. (2008) · Medical Decision Making · doi:10.1177/0272989x08327066 · Cited by 602 · see citing works
Motivation and cognitive control in the human prefrontal cortex
Kouneiher, F., Charron, S., & Koechlin, E. (2009) · Nature Neuroscience · doi:10.1038/nn.2321 · Cited by 590 · see citing works
Retraining automatic action-tendencies to approach alcohol in hazardous drinkers.
Wiers, R. W., Rinck, M., Kordts, R., Houben, K., & Strack, F. (2010) · Addiction · doi:10.1111/j.1360-0443.2009.02775.x · Cited by 582 · see citing works
Self-citationA Developmental fMRI Study of the Stroop Color-Word Task
Adleman, N. E., Menon, V., Blasey, C. M., White, C. D., Warsofsky, I. S., Glover, G. H., & Reiss, A. L. (2002) · NeuroImage · doi:10.1006/nimg.2001.1046 · Cited by 569 · see citing works
Incentive-elicited brain activation in adolescents: Similarities and differences from young adults
Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567 · see citing works
Attention training for generalized social anxiety disorder
Schmidt, N. B., Richey, J. A., Buckner, J. D., & Timpano, K. R. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0013643 · Cited by 546 · see citing works
Attention modification program in individuals with generalized anxiety disorder
Amir, N., Beard, C., Burns, M., & Bomyea, J. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0012589 · Cited by 539 · see citing works
Conrey, F. R., Sherman, J. W., Gawronski, B., Hugenberg, K., & Groom, C. J. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.89.4.469 · Cited by 539 · see citing works
Attitudes and evaluations: a social cognitive neuroscience perspective
Cunningham, W. A., & Zelazo, P. D. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.12.005 · Cited by 525 · see citing works
Frontostriatal maturation predicts cognitive control failure to appetitive cues in adolescents
Somerville, L. H., Hare, T., & Casey, B. J. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21572 · Cited by 523 · see citing works
Adolescent development of the reward system
Galvan (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.006.2010 · Cited by 521 · see citing works
Knoch, D., Gianotti, L. R. R., Pascual-Leone, A., Treyer, V., Regard, M., Hohmann, M., & Brugger, P. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0804-06.2006 · Cited by 517 · see citing works
Age differences in affective decision making as indexed by performance on the Iowa gambling task
Cauffman, E., Shulman, E. P., Steinberg, L., Claus, E., Banich, M. T., Graham, S., & Woolard, J. (2010) · Developmental Psychology · doi:10.1037/a0016128 · Cited by 488 · see citing works
Cohen, J. D., Braver, T. S., & O´Reilly, R. (1996) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1996.0138 · Cited by 487 · see citing works
Adolescent risky decision-making: Neurocognitive development of reward and control regions
Van Leijenhorst, L., Moor, B. G., Op de Macks, Z. A., Rombouts, S. A. R. B., Westenberg, P. M., & Crone, E. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.038 · Cited by 467 · see citing works
Self-citationNeurocognitive development of the ability to manipulate information in working memory
Crone, E. A., Wendelken, C., Donohue, S. E., Leijenhorst, L. V., & Bunge, S. A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510088103 · Cited by 463 · see citing works
Self-citationMogg, K., Bradley, B. P., Field, M., & De Houwer, J. (2003) · Addiction · doi:10.1046/j.1360-0443.2003.00392.x · Cited by 455 · see citing works
Lisman, J. (2005) · Hippocampus · doi:10.1002/hipo.20121 · Cited by 435 · cited 1× · see citing works
“…tests and parallel animal work confirm the assumption that binge drinking (especially multiple successive detoxifications) can result in brain damage in a variety of regions, including those involved in cognitive control (Loeber et al., 2009; Squeglia et al., 2009; Stephens and Duka, 2008).”
Handbook of adolescent psychology, 2nd ed.
Lerner, R. M., & Steinberg, L. D. (2004) · Cited by 426 · see citing works
Robbins, T. W. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2097 · Cited by 413 · see citing works
Figner, B., & Weber, E. U. (2011) · Current Directions in Psychological Science · doi:10.1177/0963721411415790 · Cited by 401 · see citing works
Self-citationHouben, K., Nederkoorn, C., Wiers, R. W. H. J., & Jansen, A. T. M. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.12.011 · Cited by 398 · see citing works
Self-citationGetting a Grip on Drinking Behavior: Training Working Memory to Reduce Alcohol Abuse
Houben, K., Wiers, R. W., & Jansen, A. (2011) · Psychological Science · doi:10.1177/0956797611412392 · Cited by 398 · see citing works
Self-citationImmaturities in reward processing and its influence on inhibitory control in adolescence.
Geier, C. F., Terwilliger, R., Teslovich, T., Velanova, K., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp225 · Cited by 396 · see citing works
Banishing the homunculus: Making working memory work
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.067 · Cited by 385 · see citing works
Neurodevelopmental changes in working memory and cognitive control
Bunge, S. A., & Wright, S. B. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.005 · Cited by 381 · see citing works
Relatively strong automatic appetitive action‐tendencies in male carriers of the OPRM1 G‐allele
Wiers, R. W., Rinck, M., Dictus, M., & Van Den Wildenberg, E. (2009) · Genes, Brain and Behavior · doi:10.1111/j.1601-183x.2008.00454.x · Cited by 377 · see citing works
Self-citationClinical effectiveness of attentional bias modification training in abstinent alcoholic patients
Schoenmakers, T. M., de Bruin, M., Lux, I. F. M., Goertz, A. G., Van Kerkhof, D. H. A. T., & Wiers, R. W. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2009.11.022 · Cited by 373 · see citing works
Self-citationNeural Response to Alcohol Stimuli in Adolescents With Alcohol Use Disorder
Tapert, S. F., Cheung, E. H., Brown, G. G., Frank, L. R., Paulus, M. P., Schweinsburg, A. D., Meloy, M. J., & Brown, S. A. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.7.727 · Cited by 372 · see citing works
Boggio, P. S., Sultani, N., Fecteau, S., Merabet, L., Mecca, T., Pascual-Leone, A., Basaglia, A., & Fregni, F. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.06.011 · Cited by 367 · see citing works
Oscillations in the prefrontal cortex: a gateway to memory and attention
Benchenane, K., Tiesinga, P. H., & Battaglia, F. P. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.01.004 · Cited by 366 · see citing works
Neumann, R., & Strack, F. (2000) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.79.1.39 · Cited by 326 · see citing works
The iterative reprocessing model: A multilevel framework for attitudes and evaluation
Cunningham, W. A., Zelazo, P. D., Packer, D. J., & Van Bavel, J. J. (2007) · Social Cognition · doi:10.1521/soco.2007.25.5.736 · Cited by 322 · see citing works
GRANT, J. D., SCHERRER, J. F., LYNSKEY, M. T., LYONS, M. J., EISEN, S. A., TSUANG, M. T., TRUE, W. R., & BUCHOLZ, K. K. (2006) · Psychological Medicine · doi:10.1017/s0033291705006045 · Cited by 321 · cited 1× · see citing works
“There is a robust association between age of onset and risk for subsequent alcohol and drug problems (Agrawal et al., 2009; Grant et al., 2006), and between heavy adolescent”
Functional MRI of inhibitory processing in abstinent adolescent marijuana users
Tapert, S. F., Schweinsburg, A. D., Drummond, S. P. A., Paulus, M. P., Brown, S. A., Yang, T. T., & Frank, L. R. (2007) · Psychopharmacology · doi:10.1007/s00213-007-0823-y · Cited by 299 · see citing works
A Handbook of Process Tracing Methods for Decision Research
Schulte‐Mecklenbeck, M., Kuehberger, A., & Johnson, J. G. (2011) · Psychology Press eBooks · doi:10.4324/9780203875292 · Cited by 293 · see citing works
Fregni, F., Orsati, F. T., Pedrosa, W., Fecteau, S., Tome, F. A. M. F., Nitsche, M. A., Mecca, T. P., de Macedo, E. C., Pascual‐Leone, Á., & Boggio, P. S. (2007) · Appetite · doi:10.1016/j.appet.2007.09.016 · Cited by 288 · see citing works
Brenhouse, H. C., Sonntag, K. C., & Andersen, S. L. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5064-07.2008 · Cited by 287 · see citing works
A unique adolescent response to reward prediction errors
Cohen, J. R., Asarnow, R. F., Sabb, F. W., Bilder, R. M., Bookheimer, S. Y., Knowlton, B. J., & Poldrack, R. A. (2010) · Nature Neuroscience · doi:10.1038/nn.2558 · Cited by 285 · see citing works
Fregni, F., Ligouri, P., Fecteau, S., Nitsche, M. A., Pascual‐Leone, Á., & Boggio, P. S. (2008) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v69n0105 · Cited by 284 · see citing works
Reversing the sequence: Reducing alcohol consumption by overcoming alcohol attentional bias
Fadardi, J. S., & Cox, W. M. (2009) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.11.015 · Cited by 282 · see citing works
Thush, C., Wiers, R. W., Ames, S. L., Grenard, J. L., Sussman, S., & Stacy, A. W. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.10.019 · Cited by 282 · see citing works
Self-citationAt the boundaries of automaticity: Negation as reflective operation.
Deutsch, R., Gawronski, B., & Strack, F. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.91.3.385 · Cited by 281 · see citing works
TALLON-BAUDRY, C., KREITER, A., & BERTRAND, O. (1999) · Visual Neuroscience · doi:10.1017/s0952523899163065 · Cited by 281 · see citing works
Palfai, T. P., & Ostafin, B. D. (2003) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(03)00018-4 · Cited by 278 · see citing works
Using skin conductance in judgment and decision making research
Figner, B., Murphy, R. O., Schulte-Mecklenbeck, M., Kühberger, A., & Ranyard, R. (2011) · UvA-DARE (University of Amsterdam) · Cited by 274 · see citing works
Self-citationAdolescents, adults and rewards: Comparing motivational neurocircuitry recruitment using fMRI
Bjork, J. M., Smith, A. R., Chen, G., & Hommer, D. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011440 · Cited by 271 · see citing works
Altered white matter integrity in adolescent binge drinkers
McQueeny, T., Schweinsburg, B. C., Schweinsburg, A. D., Jacobus, J., Bava, S., Frank, L. R., & Tapert, S. F. (2009) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2009.00953.x · Cited by 266 · see citing works
Neurogenesis in adolescent brain is potently inhibited by ethanol
Crews, F. T., Mdzinarishvili, A., Kim, D., He, J., & Nixon, K. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2005.08.090 · Cited by 265 · see citing works
Decision making and binge drinking: a longitudinal study
Goudriaan, A. E., Grekin, E. R., & Sher, K. J. (2007) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2007.00378.x · Cited by 257 · see citing works
Neumann, R., & Strack, F. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.1.39 · Cited by 256 · see citing works
Prins, P. J. M., Dovis, S., Ponsioen, A., ten Brink, E., & van der Oord, S. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0206 · Cited by 249 · see citing works
The Neural Basis of Loss Aversion in Decision-Making Under Risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2008) · ACR North American Advances · Cited by 239 · see citing works
Challenging implicit and explicit alcohol-related cognitions in young heavy drinkers
Wiers, R. W., Van De Luitgaarden, J., Van Den Wildenberg, E., & Smulders, F. T. Y. (2005) · Addiction · doi:10.1111/j.1360-0443.2005.01064.x · Cited by 238 · see citing works
Self-citationLateral prefrontal cortex mediates the cognitive modification of attentional bias
Browning, M., Holmes, E. A., Murphy, S. E., Goodwin, G. M., & Harmer, C. J. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.10.031 · Cited by 236 · see citing works
Monique Ernst, D., Romeo, R. D., & Andersen, S. L. (2008) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2008.12.013 · Cited by 236 · see citing works
Squeglia, L. M., Spadoni, A. D., Infante, M. A., Myers, M. G., & Tapert, S. F. (2009) · Psychology of Addictive Behaviors · doi:10.1037/a0016516 · Cited by 225 · see citing works
Alcohol, psychological dysregulation, and adolescent brain development
Clark, D. B., Thatcher, D. L., & Tapert, S. F. (2008) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2007.00601.x · Cited by 222 · see citing works
Cognitive bias modification for anxiety: current evidence and future directions
Beard, C. (2011) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.194 · Cited by 222 · see citing works
Sokhadze, T. M., Cannon, R. L., & Trudeau, D. L. (2008) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-007-9047-5 · Cited by 222 · see citing works
Grenard, J. L., Ames, S. L., Wiers, R. W., Thush, C., Sussman, S., & Stacy, A. W. (2008) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.22.3.426 · Cited by 221 · see citing works
Self-citationTapert, S. F., Schweinsburg, A. D., Barlett, V. C., Brown, S. A., Frank, L. R., Brown, G. G., & Meloy, M. J. (2004) · Alcoholism Clinical and Experimental Research · doi:10.1097/01.alc.0000141812.81234.a6 · Cited by 219 · see citing works
See, J., MacLeod, C., & Bridle, R. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0014377 · Cited by 215 · see citing works
Neural plasticity in response to attention training in anxiety
Eldar, S., & Bar‐Haim, Y. (2009) · Psychological Medicine · doi:10.1017/s0033291709990766 · Cited by 206 · see citing works
Rapid approach responses to alcohol cues in heavy drinkers
Field, M., Kiernan, A., Eastwood, B., & Child, R. (2008) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2007.06.001 · Cited by 204 · see citing works
Cognitive and emotional consequences of binge drinking: role of amygdala and prefrontal cortex
Stephens, D., & Duka, T. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0097 · Cited by 201 · see citing works
Finn, P. R. (2002) · Behavioral and Cognitive Neuroscience Reviews · doi:10.1177/1534582302001003001 · Cited by 194 · see citing works
Loeber, S., Duka, T., Welzel, H., Nakovics, H., Heinz, A., Flor, H., & Mann, K. (2009) · Alcohol and Alcoholism · doi:10.1093/alcalc/agp030 · Cited by 188 · see citing works
Cumulative priming effects of cortical stimulation on smoking cue-induced craving
Boggio, P. S., Liguori, P., Sultani, N., Rezende, L. D. F., Fecteau, S., & Fregni, F. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.07.041 · Cited by 187 · see citing works
White matter integrity in adolescents with histories of marijuana use and binge drinking
Jacobus, J., McQueeny, T. M., Bava, S., Schweinsburg, B. C., Frank, L. R., Yang, T. T., & Tapert, S. F. (2009) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2009.07.006 · Cited by 186 · see citing works
Response Inhibition Moderates the Relationship Between Implicit Associations and Drinking Behavior
Houben, K., & Wiers, R. W. H. J. (2009) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00877.x · Cited by 184 · see citing works
Self-citationHouben, K., Havermans, R. C., & Wiers, R. W. (2010) · Psychopharmacology · doi:10.1007/s00213-010-1872-1 · Cited by 183 · see citing works
Self-citationAltered white matter microstructure in adolescent substance users
Bava, S., Frank, L. R., McQueeny, T. M., Schweinsburg, B. C., Schweinsburg, A. D., & Tapert, S. F. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2009.04.005 · Cited by 182 · see citing works
Trajectory of risky decision making for potential gains and losses from ages 5 to 85
Weller, J. A., Levin, I. P., & Denburg, N. L. (2011) · Journal of Behavioral Decision Making · doi:10.1002/bdm.690 · Cited by 174 · see citing works
Selective processing of cannabis cues in regular cannabis users
Field, M., Eastwood, B., Bradley, B. P., & Mogg, K. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.03.018 · Cited by 170 · see citing works
Adolescents’ heightened risk-seeking in a probabilistic gambling task
Burnett, S., Bault, N., Coricelli, G., & Blakemore, S.-J. (2010) · Cognitive Development · doi:10.1016/j.cogdev.2009.11.003 · Cited by 165 · see citing works
Practicing self-control lowers the risk of smoking lapse.
Muraven, M. (2010) · Psychology of Addictive Behaviors · doi:10.1037/a0018545 · Cited by 157 · see citing works
Probability of punishment and suppression of behavior in psychopathic and nonpsychopathic offenders
Siegel, R. A. (1978) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.87.5.514 · Cited by 157 · see citing works
Brenhouse, H. C., & Andersen, S. L. (2008) · Behavioral Neuroscience · doi:10.1037/0735-7044.122.2.460 · Cited by 155 · see citing works
Compelled to consume: The Implicit Association Test and automatic alcohol motivation.
Ostafin, B. D., & Palfai, T. P. (2006) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.20.3.322 · Cited by 143 · see citing works
Go or no‐go? Developmental improvements in the efficiency of response inhibition in mid‐childhood
Cragg, L., & Nation, K. (2008) · Developmental Science · doi:10.1111/j.1467-7687.2008.00730.x · Cited by 141 · see citing works
Reward-related processing in the human brain: developmental considerations
Fareri, D. S., Martin, L. N., & Delgado, M. R. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000576 · Cited by 141 · see citing works
Switching between tasks and responses: a developmental study
Crone, E. A., Bunge, S. A., Van Der Molen, M. W., & Ridderinkhof, K. R. (2006) · Developmental Science · doi:10.1111/j.1467-7687.2006.00490.x · Cited by 136 · see citing works
Self-citationThe developing brain: from theory to neuroimaging and back
Crone, E. A., & Richard Ridderinkhof, K. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2010.12.001 · Cited by 125 · see citing works
Self-citationSPEAR, L. P., & Varlinskaya, E. I. (2010) · Developmental Psychobiology · doi:10.1002/dev.20457 · Cited by 120 · see citing works
Aging-related changes in processing of non-target and target stimuli during an auditory oddball task
Amenedo, E., & Dı́az, F. (1998) · Biological Psychology · doi:10.1016/s0301-0511(98)00040-4 · Cited by 117 · see citing works
Neurologically Plausible Distinctions in Cognition Relevant to Drug Use Etiology and Prevention
Stacy, A. W., Ames, S. L., & Knowlton, B. J. (2004) · Substance Use & Misuse · doi:10.1081/ja-200033204 · Cited by 110 · see citing works
Theta Power in the EEG of Alcoholics
Rangaswamy, M., Bernice Porjesz, A., Chorlian, D. B., Choi, K., Jones, K. A., Wang, K., Rohrbaugh, J., O’Connor, S., Samuel Kuperman, C., Reich, T., et al. (2003) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2003.tb04397.x · Cited by 110 · see citing works
Decision making and response inhibition as predictors of heavy alcohol use: a prospective study
Goudriaan, A. E., Grekin, E. R., & Sher, K. J. (2011) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01437.x · Cited by 109 · see citing works
Chapter 75 Outlasting excitability shifts induced by direct current stimulation of the human brain
Paulus, W. (2004) · Supplements to Clinical neurophysiology · doi:10.1016/s1567-424x(09)70411-8 · Cited by 106 · see citing works
The Search for New Ways to Change Implicit Alcohol‐Related Cognitions in Heavy Drinkers
Wiers, R. W. H. J., Cox, W. M., Field, M., Fadardi, J. S., Palfai, T. P., Schoenmakers, T. M., & Stacy, A. W. (2006) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2006.00037.x · Cited by 100 · see citing works
Self-citationDevelopmental changes and individual differences in risk and perspective taking in adolescence
Crone, E. A., Bullens, L., van der Plas, E. A. A., Kijkuit, E. J., & Zelazo, P. D. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000588 · Cited by 97 · see citing works
Self-citationLong-term risk preference and suboptimal decision making following adolescent alcohol use
Nasrallah, N. A., Yang, T. W. H., & Bernstein, I. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906629106 · Cited by 94 · see citing works
Peak frequency in the theta and alpha bands correlates with human working memory capacity
Moran, R. J., Campo, P., Maestu, F., Reilly, R. B., Dolan, R. J., & Strange, B. A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00200 · Cited by 93 · see citing works
White, H. R., Marmorstein, N. R., Crews, F. T., Bates, M. E., Mun, E.-Y., & Loeber, R. (2011) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2010.01345.x · Cited by 92 · see citing works
Short-term memory capacity (7+/−2) predicted by theta to gamma cycle length ratio
Kamiński, J., Brzezicka, A., & Wróbel, A. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2010.10.001 · Cited by 82 · see citing works
Agrawal, A., Sartor, C. E., Lynskey, M. T., Grant, J. D., Pergadia, M. L., Grucza, R., Bucholz, K. K., Nelson, E. C., Madden, P. A. F., Martin, N. G., et al. (2009) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2009.01044.x · Cited by 82 · see citing works
Affective and Cognitive Decision-Making in Adolescents
van Duijvenvoorde, A. C. K., Jansen, B. R. J., Visser, I., & Huizenga, H. M. (2010) · Developmental Neuropsychology · doi:10.1080/87565641.2010.494749 · Cited by 78 · see citing works
Saraceno, L., Munafo, M. R., Heron, J., Craddock, N. J., & van den Bree, M. B. M. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02571.x · Cited by 78 · see citing works
Representation of Subjective Value in the Striatum
Knutson, B. D., Delgado, M. R., & Phillips, P. E. M. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374176-9.00025-7 · Cited by 68 · see citing works
Pre-stimulus EEG effects related to response speed, task switching and upcoming response hand
Gladwin, T. E., Lindsen, J. P., & de Jong, R. (2005) · Biological Psychology · doi:10.1016/j.biopsycho.2005.05.005 · Cited by 65 · see citing works
Self-citationWiers, R. W. H. J., de Jong, P. J., Havermans, R. C., & Jelícic, M. (2004) · Substance Use & Misuse · doi:10.1081/ja-200033206 · Cited by 58 · see citing works
Self-citationWiers, R. W. H. J., Beckers, L., Houben, K., & Hofmann, W. (2009) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2009.02.003 · Cited by 56 · see citing works
Self-citationDopamine and the Neural “Now”: Essay and Review of <i>Addiction: A Disorder of Choice</i>
Lewis, M. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611400235 · Cited by 42 · see citing works
Gladwin, T. E., & de Jong, R. (2004) · Biological Psychology · doi:10.1016/j.biopsycho.2004.06.004 · Cited by 40 · see citing works
Self-citationDissociations between motor-related EEG measures in a cued movement sequence task
Gladwin, T. E., Hart, B. M. '., & de Jong, R. (2007) · Cortex · doi:10.1016/j.cortex.2007.10.005 · Cited by 27 · see citing works
Self-citationProbability, Personality, Age, and Risk Taking
Hensley, W. E. (1977) · The Journal of Psychology · doi:10.1080/00223980.1977.9915870 · Cited by 25 · see citing works
Risky Decision Making in a Computer Card Game: An Information Integration ExperimentPreprint
Figner, B., & Voelki, N. (2004) · SSRN Electronic Journal · Cited by 20 · see citing works
Self-citationWiers, R. W. H. J., Schoenmakers, T. M., Houben, K., Thush, C., Fadardi, J. S., Cox, M., & Martin, C. R. (2008) · Research Publications (Maastricht University) · Cited by 18 · see citing works
Self-citationSinger, W., Kreiter, A. K., Engel, A. K., Fries, P., Roelfsema, P. R., & Volgushev, M. (1996) · Journal of Physiology-Paris · doi:10.1016/s0928-4257(97)81427-1 · Cited by 14 · see citing works
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Understanding adolescence as a period of social–affective engagement and goal flexibility
Crone, E. A., & Dahl, R. E. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3313 · Cited by 2,507 · see citing works
Self-citationDecision-making in the adolescent brain
Blakemore, S.-J., & Robbins, T. W. (2012) · Nature Neuroscience · doi:10.1038/nn.3177 · Cited by 711 · see citing works
Wiers, R. W., Gladwin, T. E., Hofmann, W., Salemink, E., & Ridderinkhof, K. R. (2013) · Clinical Psychological Science · doi:10.1177/2167702612466547 · Cited by 486 · see citing works
Self-citationMedia use and brain development during adolescence
Crone, E. A., & Konijn, E. A. (2018) · Nature Communications · doi:10.1038/s41467-018-03126-x · Cited by 464 · see citing works
Self-citationA meta-analysis on age differences in risky decision making: Adolescents versus children and adults.
Defoe, I. N., Dubas, J. S., Figner, B., & van Aken, M. A. G. (2014) · Psychological Bulletin · doi:10.1037/a0038088 · Cited by 453 · see citing works
Self-citationEberl, C., Wiers, R. W. H. J., Pawelczack, S., Rinck, M., Becker, E. S., & Lindenmeyer, J. (2012) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2012.11.002 · Cited by 421 · see citing works
Self-citationFigner, B., & Weber, E. U. (2011) · Current Directions in Psychological Science · doi:10.1177/0963721411415790 · Cited by 401 · see citing works
Self-citationTreasure, J., Stein, D., & Maguire, S. (2015) · Early Intervention in Psychiatry · doi:10.1111/eip.12170 · Cited by 353 · see citing works
Developmental pathways to functional brain networks: emerging principles
Menon, V. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.015 · Cited by 342 · see citing works
Dichter, G. S., Damiano, C. A., & Allen, J. A. (2012) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-4-19 · Cited by 299 · see citing works
Pfeifer, J. H., & Allen, N. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.011 · Cited by 299 · see citing works
Towards a Unitary Approach to Human Action Control
Hommel, B., & Wiers, R. W. H. J. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.009 · Cited by 239 · see citing works
Self-citationYücel, M., Oldenhof, E., Ahmed, S. H., Belin, D., Billieux, J., Bowden‐Jones, H., Carter, A., Chamberlain, S. R., Clark, L., Connor, J. P., et al. (2018) · Addiction · doi:10.1111/add.14424 · Cited by 231 · see citing works
Self-citationIncreased Capacity to Delay Reward in Anorexia Nervosa
STEINGLASS, J. E., Figner, B., Berkowitz, S. A., Simpson, H. B., Weber, E. U., & Walsh, B. T. (2012) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617712000446 · Cited by 169 · see citing works
Self-citationDovis, S., Van der Oord, S., Wiers, R. W., & Prins, P. J. M. (2012) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-011-9601-8 · Cited by 165 · see citing works
Self-citationBecker, D., Jostmann, N. B., Wiers, R. W. H. J., & Holland, R. W. (2014) · Appetite · doi:10.1016/j.appet.2014.11.017 · Cited by 164 · see citing works
Self-citationNeural correlates of expected risks and returns in risky choice across development
van Duijvenvoorde, A. C. K., Huizenga, H. M., Somerville, L. H., Delgado, M. R., Powers, A., Weeda, W. D., Casey, B. J., Weber, E. U., & Figner, B. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1924-14.2015 · Cited by 141 · see citing works
Self-citationWiers, C. E., Stelzel, C., Park, S. Q., Gawron, C. K., Ludwig, V. U., Gutwinski, S., Heinz, A., Lindenmeyer, J., Wiers, R. W. H. J., Walter, H., et al. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.252 · Cited by 140 · see citing works
Self-citationAnnual research review: on the developmental neuropsychology of substance use disorders
J. Conrod, P., & Nikolaou, K. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12516 · Cited by 137 · see citing works
Peeters, M., Wiers, R. W., Monshouwer, K., van de Schoot, R., Janssen, T., & Vollebergh, W. A. M. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.03948.x · Cited by 136 · see citing works
Self-citationAdolescent brain maturation and smoking: What we know and where we’re headed
Lydon‐Staley, D. M., Wilson, S. J., Child, A. E., & Geier, C. F. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.07.003 · Cited by 133 · see citing works
Implicit alcohol associations, especially drinking identity, predict drinking over time.
Lindgren, K. P., Neighbors, C., Teachman, B. A., Baldwin, S. A., Norris, J., Kaysen, D. L., Gasser, M. L., & Wiers, R. W. H. J. (2016) · Health Psychology · doi:10.1037/hea0000396 · Cited by 123 · see citing works
Self-citationEnhancement of selective attention by tDCS: Interaction with interference in a Sternberg task
Gladwin, T. E., den Uyl, T. E., Fregni, F., & Wiers, R. W. H. J. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.01.056 · Cited by 122 · see citing works
Self-citationVink, M., Zandbelt, B. B., Gladwin, T., Hillegers, M., Hoogendam, J. M., van den Wildenberg, W. P. M., Du Plessis, S., & Kahn, R. S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22483 · Cited by 116 · see citing works
Self-citationDysfunctional cognitive control and reward processing in adolescents with Internet gaming disorder
Li, Q., Wang, Y., Zhong, Y. J., Dai, W., Zheng, Y., Sun, Y., & Liu, X. (2019) · Psychophysiology · doi:10.1111/psyp.13469 · Cited by 107 · see citing works
Emotion regulation and risk taking: Predicting risky choice in deliberative decision making
Panno, A., Lauriola, M., & Figner, B. (2012) · Cognition & Emotion · doi:10.1080/02699931.2012.707642 · Cited by 105 · see citing works
Self-citationCognitive Bias Modification for adolescents with substance use problems – Can serious games help?
Boendermaker, W. J., Prins, P. J. M., & Wiers, R. W. H. J. (2015) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.03.008 · Cited by 103 · see citing works
Self-citationA biological framework for emotional dysregulation in alcohol misuse: from gut to brain
Carbia, C., Lannoy, S., Maurage, P., López‐Caneda, E., O’Riordan, K. J., Dinan, T. G., & Cryan, J. F. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00970-6 · Cited by 80 · see citing works
Different developmental trajectories for anticipation and receipt of reward during adolescence
Hoogendam, J. M., Kahn, R. S., Hillegers, M. H. J., van Buuren, M., & Vink, M. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.08.004 · Cited by 78 · see citing works
Dalvi‐Esfahani, M., Niknafs, A., Alaedini, Z., ahmadabadi, H. B., Kuss, D. J., & Ramayah, T. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101516 · Cited by 75 · see citing works
A dual process perspective on advances in cognitive science and alcohol use disorder
Lindgren, K. P., Hendershot, C. S., Ramirez, J. J., Bernat, E. M., Rangel‐Gomez, M., Peterson, K. P., & Murphy, J. G. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.04.002 · Cited by 74 · see citing works
The Relationship Between Parental Phubbing and Short‐Form Videos Addiction Among Chinese Adolescents
Wang, H., & Lei, L. (2022) · Journal of Research on Adolescence · doi:10.1111/jora.12744 · Cited by 73 · see citing works
Exploring elements of fun to motivate youth to do cognitive bias modification
Boendermaker, W. J., Boffo, M., & Wiers, R. W. (2015) · Games for Health Journal · doi:10.1089/g4h.2015.0053 · Cited by 71 · see citing works
Self-citationBrenhouse, H., Lukkes, J., & Andersen, S. (2013) · Brain Sciences · doi:10.3390/brainsci3010143 · Cited by 68 · see citing works
Arria, A. M., Bugbee, B. A., Caldeira, K. M., & Vincent, K. B. (2014) · Nutrition Reviews · doi:10.1111/nure.12129 · Cited by 68 · see citing works
Dovis, S., Van der Oord, S., Wiers, R. W., & Prins, P. J. M. (2013) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-013-9729-9 · Cited by 67 · see citing works
Self-citationAttentional Bias Modification With Serious Game Elements: Evaluating the Shots Game
Boendermaker, W. J., Maceiras, S. S., Boffo, M., & Wiers, R. W. H. J. (2016) · JMIR Serious Games · doi:10.2196/games.6464 · Cited by 67 · see citing works
Self-citationAutomatic Processes and the Drinking Behavior in Early Adolescence: A Prospective Study
Peeters, M., Monshouwer, K., van de Schoot, R., Janssen, T., Vollebergh, W., & Wiers, R. W. H. J. (2013) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12156 · Cited by 64 · see citing works
Self-citationPark, Y., & Lee, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107400 · Cited by 64 · see citing works
Morgenstern, J., Naqvi, N. H., Debellis, R., & Breiter, H. C. (2013) · Psychology of Addictive Behaviors · doi:10.1037/a0032435 · Cited by 61 · see citing works
Vink, M., Gladwin, T. E., Geeraerts, S. B., Pas, P., Bos, D. J., Hofstee, M., Durston, S., & Vollebergh, W. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100829 · Cited by 60 · see citing works
Self-citationGladwin, T. E., Rinck, M., Eberl, C., Becker, E. S., Lindenmeyer, J., & Wiers, R. W. H. J. (2015) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12602 · Cited by 60 · see citing works
Self-citationNeural processing of reward in adolescent rodents
Simon, N. W., & Moghaddam, B. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.11.001 · Cited by 59 · see citing works
Liu, Y., van den Wildenberg, W. P. M., de Graaf, Y., Ames, S. L., Baldacchino, A., Bø, R., Cadaveira, F., Campanella, S., Christiansen, P., Claus, E. D., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.07.006 · Cited by 59 · see citing works
Self-citationSubstance Use and Substance Use Disorders
Chassin, L., Colder, C. R., Hussong, A. M., & Sher, K. J. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy319 · Cited by 58 · see citing works
On the Development of Implicit and Control Processes in Relation to Substance Use in Adolescence
Wiers, R. W. H. J., Boelema, S. R., Nikolaou, K., & Gladwin, T. E. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0053-z · Cited by 57 · see citing works
Self-citation"Hot" cognition and dual systems: Introduction, criticisms, and ways forward
Gladwin, T. E., & Figner, B. (2014) · UvA-DARE (University of Amsterdam) · Cited by 57 · see citing works
Self-citationZhu, Y., Jiang, H., Su, H., Zhong, N., Li, R., Li, X., Chen, T., Tan, H., Du, J., Xu, D., et al. (2018) · JMIR mhealth and uhealth · doi:10.2196/10292 · Cited by 57 · see citing works
Moretta, T., & Buodo, G. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.07.014 · Cited by 57 · see citing works
Psychological changes and cognitive impairments in adolescent heavy drinkers
Peeters, M., Vollebergh, W. A. M., Wiers, R. W., & Field, M. (2014) · Alcohol and Alcoholism · doi:10.1093/alcalc/agt162 · Cited by 53 · see citing works
Self-citationNeurocognitive mechanisms of perception–action coordination: A review and theoretical integration
Ridderinkhof, K. R. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.05.008 · Cited by 53 · see citing works
Imaging the neural effects of cognitive bias modification training
Wiers, C. E., & Wiers, R. W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.041 · Cited by 52 · see citing works
Self-citationThe Effect of Home-based Daily Journal Writing in Korean Adolescents with Smartphone Addiction
Lee, H., Seo, M. J., & Choi, T. Y. (2016) · Journal of Korean Medical Science · doi:10.3346/jkms.2016.31.5.764 · Cited by 51 · see citing works
Hildebrandt, M. K., Dieterich, R., & Endraß, T. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.011 · Cited by 46 · see citing works
Anodal tDCS of dorsolateral prefontal cortex during an Implicit Association Test
Gladwin, T. E., den Uyl, T. E., & Wiers, R. W. H. J. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.04.025 · Cited by 42 · see citing works
Self-citationFigner, B., & Weber, E. U. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.26047-9 · Cited by 42 · see citing works
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Gladwin, T. E., Wiers, C. E., & Wiers, R. W. H. J. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.021 · Cited by 41 · see citing works
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Galván, A., Leijenhorst, L. V., & McGlennen, K. M. (2012) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2012.02.002 · Cited by 41 · see citing works
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Lauriola, M., & Weller, J. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-92478-6_1 · Cited by 41 · see citing works
Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study
Li, F., Jiang, L., Liao, Y., Si, Y., Yi, C., Zhang, Y., Zhu, X., Yang, Z., Yao, D., Cao, Z., et al. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac0d41 · Cited by 41 · see citing works
Rakesh, D., Allen, N. B., & Whittle, S. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100775 · Cited by 40 · see citing works
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Paslakis, G., Scholz-Hehn, A. D., Sommer, L. M., & Kühn, S. (2020) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-020-00974-9 · Cited by 40 · see citing works
Boffo, M., Pronk, T., Wiers, R. W. H. J., & Mannarini, S. (2015) · Trials · doi:10.1186/s13063-015-0576-6 · Cited by 39 · see citing works
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Fenton, T., & Wiers, R. W. H. J. (2016) · Neuroethics · doi:10.1007/s12152-016-9290-7 · Cited by 38 · see citing works
Self-citationKuhn, F. T., Roversi, K., Antoniazzi, C. T. D. D., Pase, C. S., Trevizol, F., Barcelos, R. C. S., Dias, V. T., Roversi, K., Boufleur, N., Benvegnú, D. M., et al. (2013) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2013.06.001 · Cited by 38 · see citing works
The Multiple Faces of Risk-Taking
Schmitz, F., Manske, K., Preckel, F., & Wilhelm, O. (2016) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000335 · Cited by 38 · see citing works
Colder, C. R., O’Connor, R. M., Read, J. P., Eiden, R. D., Lengua, L. J., Hawk, L. W., & Wieczorek, W. F. (2014) · Psychology of Addictive Behaviors · doi:10.1037/a0035271 · Cited by 37 · see citing works
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Zencirci, S. A., Aygar, H., Göktaş, S., Önsüz, M. F., Alaiye, M., & Metintaş, S. (2018) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20182805 · Cited by 37 · see citing works
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He, J., Xian, Z., & Ai, Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29466 · Cited by 36 · see citing works
Marceau, E. M., Kelly, P. J., & Solowij, N. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.10.008 · Cited by 36 · see citing works
Azadi, M., Azizi, H., & Haghparast, A. (2019) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2019.02.004 · Cited by 36 · see citing works
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Kakoschke, N., Albertella, L., Lee, R. S. C., & Wiers, R. W. H. J. (2019) · Current Addiction Reports · doi:10.1007/s40429-019-00254-2 · Cited by 36 · see citing works
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Koning, I. M., van den Eijnden, R. J. J. M., & Vollebergh, W. (2014) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2014.75.16 · Cited by 36 · see citing works
Friedel, S., Whittle, S. L., Vijayakumar, N., Simmons, J. G., Byrne, M. L., Schwartz, O. S., & Allen, N. B. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.001 · Cited by 36 · see citing works
van Deursen, D. S., Salemink, E., Smit, F., Kramer, J., & Wiers, R. W. H. J. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-674 · Cited by 35 · see citing works
Self-citationSharbanee, J. M., Stritzke, W. G. K., Wiers, R. W. H. J., Young, P., Rinck, M., & MacLeod, C. (2012) · Psychology of Addictive Behaviors · doi:10.1037/a0029982 · Cited by 35 · see citing works
Self-citationCousijn, J., van Benthem, P., van der Schee, E., & Spijkerman, R. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.04.001 · Cited by 35 · see citing works
Impaired Early-Response Inhibition in Overweight Females with and without Binge Eating Disorder
Svaldi, J., Naumann, E., Biehl, S. C., & Schmitz, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133534 · Cited by 34 · see citing works
Sharbanee, J. M., Stritzke, W. G. K., Wiers, R. W. H. J., & MacLeod, C. (2013) · Addiction · doi:10.1111/add.12256 · Cited by 34 · see citing works
Self-citationPieters, S., Burk, W. J., van der Vorst, H., Wiers, R. W. H. J., & Engels, R. C. M. E. (2012) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01688.x · Cited by 33 · see citing works
Self-citationCaffeine in Food and Dietary Supplements: Examining Safety
Institute of Medicine (2014) · National Academies Press eBooks · doi:10.17226/18607 · Cited by 32 · see citing works
Longitudinal relations between cognitive bias and adolescent alcohol use
Janssen, T., Larsen, H., Vollebergh, W., & Wiers, R. W. H. J. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.11.018 · Cited by 31 · see citing works
Self-citationWu, C., Lee, M., Liao, S., & Ko, C. (2018) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2018.10.022 · Cited by 31 · see citing works
Ryan, N. C., O’Leary-Barrett, M., & Conrod, P. (2013) · Europe PMC (PubMed Central) · Cited by 31 · see citing works
Second-Hand Smoking among Intermediate and Secondary School Students in Madinah, Saudi Arabia
Al-Zalabani, A. H., Amer, S. M., Kasim, K., Alqabshawi, R. I., & Abdallah, A. R. (2015) · BioMed Research International · doi:10.1155/2015/672393 · Cited by 31 · see citing works
Protracted maturation of forebrain afferent connections of the ventral tegmental area in the rat
Yetnikoff, L., Reichard, R. A., Schwartz, Z. M., Parsely, K. P., & Zahm, D. S. (2014) · Journal of Comparative Neurology · doi:10.1002/cne.23459 · Cited by 30 · see citing works
Why Women Take Fewer Risk Than Men Do: The Mediating Role of State Anxiety
Panno, A., Donati, M. A., Milioni, M., Chiesi, F., & Primi, C. (2017) · Sex Roles · doi:10.1007/s11199-017-0781-8 · Cited by 30 · see citing works
Convergence of multiple fields on a relational reasoning approach to cognition.
McLoughlin, S., Tyndall, I. T., & Pereira, A. (2020) · Intelligence · doi:10.1016/j.intell.2020.101491 · Cited by 30 · see citing works
Implicit Motivational Processes Underlying Smoking in American and Dutch Adolescents
Larsen, H., Kong, G., Becker, D., Cousijn, J., Boendermaker, W. J., Cavallo, D. A., Krishnan‐Sarin, S., & Wiers, R. W. H. J. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00051 · Cited by 30 · see citing works
Self-citationShanks, R. A., Ross, J. M., Doyle, H. H., Helton, A., Picou, B. D., Schulz, J., Tavares, C., Bryant, S., Dawson, B. L., & Lloyd, S. A. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.12.002 · Cited by 29 · see citing works
Gladwin, T. E., Wiers, C. E., & Wiers, R. W. H. J. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.08.001 · Cited by 29 · see citing works
Self-citationBarking up the Wrong Tree: Why and How We May Need to Revise Alcohol Addiction Therapy
Stock, A. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00884 · Cited by 29 · see citing works
The relationship between drinking motives and alcohol-related interpretation biases
Woud, M. L., Becker, E. S., Rinck, M., & Salemink, E. (2014) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2014.11.012 · Cited by 28 · see citing works
Approach-Bias Retraining and Other Training Interventions as Add-On in the Treatment of AUD Patients
Wiers, R. W. H. J., Pan, T., Dessel, P. V., Rinck, M., & Lindenmeyer, J. (2023) · Current topics in behavioral neurosciences · doi:10.1007/7854_2023_421 · Cited by 28 · see citing works
Self-citationZerhouni, O., Bègue, L., Comiran, F., & Wiers, R. W. H. J. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.08.026 · Cited by 28 · see citing works
Self-citationCuring the broken brain model of addiction: Neurorehabilitation from a systems perspective
Wiers, R. W. H. J., & Verschure, P. F. M. J. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106602 · Cited by 28 · see citing works
Self-citationAttentional bias variability and cued attentional bias for alcohol stimuli
Gladwin, T. E. (2016) · Addiction Research & Theory · doi:10.1080/16066359.2016.1196674 · Cited by 26 · see citing works
Self-citationThe dual-process model in young adults with a consistent binge drinking trajectory into adulthood
Carbia, C., Corral, M., Doallo, S., & Caamaño‐Isorna, F. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.01.023 · Cited by 26 · see citing works
Wen, S., Larsen, H., Boffo, M., Grasman, R. P. P. P., Pronk, T., G., V. W. J. B., & Wiers, R. W. H. J. (2020) · JMIR Mental Health · doi:10.2196/16342 · Cited by 26 · see citing works
Self-citationWoud, M. L., Maas, J., Wiers, R. W. H. J., Becker, E. S., & Rinck, M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00172 · Cited by 26 · see citing works
Self-citation
- Authors
- Gladwin, T. E., Figner, B., Crone, E. A., & Wiers, R. W.
- Affiliations
- University of Amsterdam (NL)
- Columbia University (US)
- Leiden University (NL)
- Corresponding author
- Gladwin, Thomas E.
- Venue
- Developmental Cognitive Neuroscience
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 1
- Issue
- 4
- Pages
- 364-376
- ISSN
- 1878-9293 (ISSN-L)
- PMC
- PMC6987561
- OpenAlex
- W2138821128
- Cited by
- 296
- References
- 176
- Citations by year
- 2026: 14 · 2025: 17 · 2024: 18 · 2023: 12 · 2022: 19 · 2021: 15 · 2020: 15 · 2019: 19 · 2018: 26 · 2017: 20 · 2016: 24 · 2015: 26 · 2014: 28 · 2013: 24 · 2012: 16
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Developmental Cognitive Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Netherlands National Science Foundation (N.W.O.)
- FMG-UvA Research Priority Grant on Affect-Regulation
- US National Science Foundation (SES-0922743)
- NWO VIDI
- ERC
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- adolescent addiction, motivation, cognitive control, executive function, prefrontal cortex, subcortical structures, risk-taking, dual-process models, levels of description, temporal dynamics, developmental trajectories
- MeSH terms
- Adolescent, Adolescent Behavior, Brain, Decision Making, Humans, Motivation, Risk-Taking, Behavior, Addictive
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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