Context-dependent Dynamic Processes in Attention Deficit/Hyperactivity Disorder: Differentiating Common and Unique Effects of State Regulation Deficits and Delay Aversion
Open accessAbstract
The ability to specify differential predictions is a mark of a scientific models' value. State regulation deficits (SRD) and delay aversion (DAv) have both been hypothesized as context-dependent dynamic dysfunctions in ADHD. However, to date there has been no systematic comparison of their common and unique elements. Here we review these hypotheses-and describe the core and secondary manifestations of the two constructs and review evidence in support of them. Second, we focus on what are seen as the hallmark indicators of the two deficits-preference of small immediate over large delayed rewards for DAv and the slow event rate effect for SRD. We describe the overlap between these two manifestations and then explore how experimental manipulations and the analysis of neuropsychological and physiological mediators of effects can allow us to differentiate these two patterns of neuropsychological dysfunction on the basis of specific predictions. Finally, we highlight the implications of neuropsychological heterogeneity for the practical implementation of tests of DAv and SRD.
Verified 2026-10-06 · 1 reference not checked yet
AI snapshot
Written from the paper’s full text.
TL;DR
This review compares delay aversion (DAv) and state regulation deficit (SRD) as context-dependent accounts of ADHD and argues that they overlap but can be distinguished by specific experimental predictions. It concludes that neuropsychological heterogeneity means neither construct likely explains all ADHD, so future work should partition subgroups rather than test one theory against the other.
Key findings
- DAv and SRD both predict context- and state-dependent performance, but differ in predicted patterns: SRD predicts a nonlinear inverted-U effect of event rate, with deficits at both fast and slow rates and better performance at intermediate rates; DAv predicts linear-like worsening as delays lengthen or event rates slow.
- Stimulant medication predictions diverge: SRD allows that methylphenidate could impair performance if it pushes an already optimal state into overactivation, whereas DAv predicts neutral or beneficial effects across conditions.
- Evidence supports both constructs, but effects are modest and inconsistent; case-control neuropsychological differences are no larger than moderate (Cohen’s d < .7), and only subgroups of ADHD cases show any one deficit.
- Heterogeneity is illustrated by Solanto et al. (2001): DAv and inhibitory deficits were uncorrelated and produced four subgroups (DAv only, inhibitory only, both, neither); a similar dissociation was reported for SRD and executive deficits.
Methods
- Conceptual and theoretical review, not an empirical study; no new sample or primary data are reported.
- Synthesizes prior behavioral, psychophysiological, neuroimaging, and pharmacological evidence for DAv and SRD.
- Proposes differential predictions and experimental manipulations—event rate, pre- and post-reward delay, stimulation type, and stimulant medication—plus multivariate approaches to identify patient subgroups.
Limitations
- The paper states that no systematic in-depth comparison of DAv and SRD existed before; it also notes unresolved questions about how motor readiness and effort allocation interact in SRD and whether overactivation effects are absent or difficult to induce.
- It states that optimal event rates and delays vary by task and individual, making tests difficult; evidence for overactivation is scarce, and direct tests of neurobiological independence are lacking.
- Evident from the text: as a review, it offers no new empirical validation of the proposed differentiating tests, and it notes that co-occurrence of DAv and SRD and individual-level classification remain unclear.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 120 cited sources checked · 0 supported · 0 flagged
- Findingcitation
Context plays an important role in determining the extent to which performance on executive tasks is deficient in ADHD.
“In keeping with this, context has been shown to play an important role in determining the extent to which performance on executive tasks is deficient in ADHD (cf.Shiels et al., 2008; but see also Shanahan et al., 2008).”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingcitation
When two distinctly different impairments are studied in the same sample, different patients appear to be affected by each one.
“Finally, when two distinctly different impairments are studied in the same sample different patients appear to be affected by each one.”
Quote in the paperSubstantial claim - Findingcitation
ADHD children show a preference for smaller sooner over larger later rewards.
“This is often characterized as a preference for smaller sooner (SS) over larger later rewards (LL) (see Willcutt et al., 2008 for a meta-analysis; but see also Scheres et al., 2006 andBidwell et al., 2007; for a counter case).”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingcitation
There is more consistent evidence for an effect of delay, prior to delivery of rewards, on ADHD children's responses and choices.
“In contrast to this generally disappointing picture is the more consistent evidence for an effect of delay, prior to delivery of rewards, on ADHD children's responses and choices (Tripp and Alsop, 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tripp and Alsop, 2001 source
Not checked in the free run.
- Findingcitation
ADHD children are unusually vigilant to environmental delay-related cues.
“are unusually vigilant to environmental delay-related cues (Sonuga-Barke et al., 2004)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sonuga-Barke et al., 2004 source
Not checked in the free run.
- Findingcitation
ADHD cases can be satisfactorily differentiated from controls in terms of their choices of smaller sooner over larger later rewards.
“ADHD cases can be satisfactorily differentiated from controls in terms of their choices of SS over LL rewards (Kuntsi et al., 2001;Antrop et al., 2006;Bitsakou et al., 2009;Marco et al., 2009;Sonuga-Barke et al., 1992;Schweitzer and Sulzer-Azaroff, 1995;Solanto et al., 2001;Hoerger and Mace, 2006;Dalen et al., 2004;Marco et al., 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingcitation
ADHD children respond inappropriately to the unexpected imposition of delay.
“For instance, ADHD children respond inappropriately to the unexpected imposition of delay (Bitsakou et al, 2006) and extinction of reward (Sagvolden et al., 1998); prematurely disengage from long and challenging tasks (Scime and Norvilitis, 2006); show more activity than controls during delay (Antrop et al., 2003); are biased towards task responses tied to immediate rewards (Tripp and Alsop, 2001)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bitsakou et al, 2006 source
Not checked in the free run.
- Findingcitation
ADHD children respond inappropriately to extinction of reward.
“ADHD children respond inappropriately to the unexpected imposition of delay (Bitsakou et al, 2006) and extinction of reward (Sagvolden et al., 1998)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sagvolden et al., 1998 source
Not checked in the free run.
- Findingcitation
ADHD children prematurely disengage from long and challenging tasks.
“prematurely disengage from long and challenging tasks (Scime and Norvilitis, 2006)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scime and Norvilitis, 2006 source
Not checked in the free run.
- Findingcitation
The pooled size of the effect of smaller sooner over larger later choice in ADHD compares favorably with those reported in the Willcutt et al. (2005) meta-analysis of executive function deficits in ADHD.
“Despite this heterogeneity, the pooled size of this effect (Willcutt et al., 2008) compares favorably with those reported in the Willcutt et al., (2005) meta-analysis of executive function deficits in ADHD.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Willcutt et al., 2008
Not checked in the free run.
- cites Willcutt et al., 2005 source
Not checked in the free run.
- Findingcitation
ADHD children are biased towards task responses tied to immediate rewards.
“are biased towards task responses tied to immediate rewards (Tripp and Alsop, 2001)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tripp and Alsop, 2001 source
Not checked in the free run.
- Findingcitation
ADHD children prefer reward immediacy to high reward rate or task ease.
“prefer reward immediacy to high reward rate or task ease (Neef et al., 2005)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Neef et al., 2005 source
Not checked in the free run.
- Findingcitation
ADHD children show more activity than controls during delay.
“show more activity than controls during delay (Antrop et al., 2003)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Antrop et al., 2003 source
Not checked in the free run.
- Findingcitation
ADHD children are differentially affected by slow event rates or sparse schedules of reinforcement.
“and are differentially affected by slow event rates/sparse schedules of reinforcement (Wiersema et al, 2006;Aase and Sagvolden, 2006).”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingcitation
ADHD children discount future hypothetical rewards.
“discount future hypothetical rewards (Barkley et al., 2001; but see Scheres et al., 2006 for counter case)”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingcitation
Impulsive choice behaviour is implicated in a range of different psychopathologies as well as ADHD, such as conduct disorder and substance abuse.
“Indeed impulsive choice behaviour is implicated in a range of different psychopathologies as well as ADHD (e.g., conduct disorder and substance abuse; Bobova et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bobova et al., 2009 source
Not checked in the free run.
- Interpretationcitation
It is unlikely that executive function deficits mediate the link between ADHD and its underlying genetic and environmental causes in any straightforward way.
“However, it now seems unlikely that such deficits mediate the link between ADHD and its underlying causes (i.e., genes and environments; Nigg et al., 2005) in any straightforward way (Castellanos et al., 2006).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Nigg et al., 2005
Not checked in the free run.
- cites Castellanos et al., 2006 source
Not checked in the free run.
- Interpretationreasoning
It is unlikely that a single deficit or pattern of deficits can account for ADHD in all or even the majority of cases.
“It now seems unlikely that a single deficit or pattern of deficits can account for ADHD in all or even the majority of cases -be it executive dysfunction, DAv or SRD.”
Quote in the paperSubstantial claim - Interpretationreasoning
Heterogeneity at etiological and clinical levels is mirrored at a neuropsychological level, with ADHD children affected in different ways and to varying degrees by different neuropsychological impairments.
“It now appears that heterogeneity expressed at these levels is also mirrored at a neuropsychological level: ADHD children are each affected in different ways to varying degrees by different neuropsychological impairments.”
Quote in the paperSubstantial claim - Interpretationcitation
The predictions of secondary adaptations are consistent with data from a range of different paradigms.
“However, the predictions of secondary adaptations are consistent with data from a range of different paradigms.”
Quote in the paperSubstantial claim - Interpretationcitation
The notion that the choice of smaller sooner over larger later rewards in ADHD results from two processes-impaired signaling of delayed rewards and acquired aversion to delay-is supported by a recent large-scale study examining the effects of pre- and post-reward delay on choice for delayed rewards.
“Furthermore, the notion that the choice of SS over LL rewards in ADHD is the result of two processes (i.e., impairment in signaling of delayed rewards and acquired aversion to delay) is supported by a recent large scale study examining the effects of pre-and post-reward delay on choice for delayed rewards (Marco et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Marco et al., 2009 source
Not checked in the free run.
- Premisecitation
The effort system is under the control of an evaluation mechanism that scans the momentary state of the arousal and activation levels.
“The effort system is under control of an evaluation mechanism (with many features in common with executive control systems in other models), which scans the momentary state of the arousal and activation levels.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sanders, 1983 source
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
- Premisereasoning
Although level 1 stages do not themselves represent an executive function deficit, they are inevitably implicated in performance on high-level executive tasks such as divided and focused attention and motor set shifting.
“Although not representing an executive function deficit themselves such stages are also inevitably implicated in performance on high level executive tasks, such as divided and focused attention, and (motor) set shifting.”
Quote in the paperSubstantial claim - Interpretationreasoning
Performance can be maintained even in sub-optimal states or settings.
“This means that performance can be maintained even in sub-optimal states or settings.”
Quote in the paperNot a substantial claim - Premisecitation
The locus of a possible state regulation deficit in ADHD relates to response preparation-related activation processes associated with motor output/response organisation.
“the locus of a possible state regulation deficit in ADHD relates to the response preparation-related activation processes associated with motor output/response organisation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sergeant and Van der Meere
Not checked in the free run.
- Premisecitation
RT performance in children with ADHD is highly sensitive to the rate at which stimuli are presented.
“it has repeatedly been found that RT performance in children with ADHD is highly sensitive to the rate at which stimuli are presented”
Quote in the paperSubstantial claim0 of 2 sources checked- cites van der Meere, 2005
Not checked in the free run.
- cites Sergeant, 2005 source
Not checked in the free run.
- Premisecitation
The ACC is involved in maintaining an optimal readiness to respond through effort allocation.
“Using fMRI this study indicated that the ACC was involved in maintaining an optimal readiness to respond through effort allocation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kooistra et al, 2006
Not checked in the free run.
- Premisecitation
Disturbed ACC functioning in ADHD is supported by a growing body of evidence.
“Disturbed ACC functioning in ADHD is supported by a growing body of evidence.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
SRD could lead to a preference for immediate reward over delayed reward if that increases the level of stimulation to optimal or desired states.
“SRD could therefore lead to a preference for immediate reward over delayed reward if that increases the level of stimulation in the environment to either optimal or desired states”
Quote in the paperSubstantial claim - Interpretationreasoning
The SRD model is consistent with the idea that ADHD is associated with secondary adaptation to the primary deficit.
“Like the DAv model the general thrust of the SRD model is consistent with the idea that ADHD is associated with secondary adaptation to the primary deficit”
Quote in the paperNot a substantial claim - Premisecitation
Children with ADHD tend to perform more poorly in conditions of relatively slow, compared to fast and moderate event rates.
“Children with ADHD tend to perform more poorly in conditions of relatively slow, compared to fast and moderate event rates”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Patients may compensate for under-activation by seeking additional stimulation through their activity and patterns of attention.
“it is predicted that patients may compensate for under-activation by seeking additional stimulation through their activity and patterns of attention”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Alberts and van der Meere, 1992 source
Not checked in the free run.
- cites Börger and van der Meere, 2000b
Not checked in the free run.
- Premisecitation
When task duration is short and subjects are motivated, stimulus degradation, set-size, and response compatibility manipulations affect the stimulus encoding, central processes, and motor preparation stages in predictably different ways.
“For instance, when the task duration is short and when subjects are motivated, stimulus degradation, set-size, and response compatibility manipulations affect the stimulus encoding, central processes and motor preparation stages in predictably different ways.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Sanders, 1983 source
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
- Premisecitation
MPH enhances task performance in children with ADHD during conditions with a slow stimulus presentation rate.
“MPH enhances task performance in children with ADHD (van der Meere et al., 1995) during conditions with a slow stimulus presentation rate.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites van der Meere et al., 1995 source
Not checked in the free run.
- Interpretationreasoning
The differing predictions of state regulation deficit and delay aversion can be tested by comparing groups of children with and without ADHD.
“we are able to test these predictions in terms of differences between ADHD and control children at the group level.”
Quote in the paperSubstantial claim - Premisecitation
Söderlund et al. (2007) found a small but significant degree of facilitation of white noise on performance amongst ADHD children.
“Söderlund et al., (2007) recently studied the effects of white noise on performance and found a small but significant degree of facilitation amongst ADHD children.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Söderlund et al., (2007) source
Not checked in the free run.
- Premisecitation
van der Meere et al. (1995) found that the ADHD group performed less well than controls in the fast and slow conditions but equally well in the medium condition.
“The ADHD group performed less well than controls in the fast and slow conditions but equally well in the medium condition.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites van der Meere et al. (1995) source
Not checked in the free run.
- Interpretationreasoning
The SRD is consistent with much of the data on the context dependent and dynamic nature of ADHD performance.
“The SRD is consistent with much of the data on the context dependent and dynamic nature of ADHD performance.”
Quote in the paperSubstantial claim - Interpretationreasoning
The SRD model predicts that MPH may be detrimental if it leads to overactivation.
“The SRD model predicts that they may be detrimental if they lead to overactivation.”
Quote in the paperSubstantial claim - Interpretationreasoning
As the SRD concept is developed in this paper, the choice of SS over LL may be understood in terms of secondary adaptation: ADHD children seek to regulate their energetic state and optimise their activation level by choosing one environment over another.
“However, as the SRD concept is developed in this paper the choice of SS over LL may be understood in terms of secondary adaptation: ADHD children seek to regulate their energetic state and optimise their activation level by choosing one environment over another.”
Quote in the paperSubstantial claim - Premisecitation
ERP studies showed that slow and inaccurate RT performance in the condition with a long ISI was accompanied by reduced parietal P3 amplitude indicating less effort allocation.
“These studies showed that slow and inaccurate RT performance in the condition with a long ISI was accompanied by reduced parietal P3 amplitude indicating less effort allocation”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisenone given
Where three or more levels of event rate have been used, evidence tends to support the idea that effects are more robust for under-activation rather than over-activation.
“However, where three or more levels of event rate have been used evidence tends to support the idea that effects are more robust for under-activation rather than over-activation.”
Quote in the paperNot a substantial claim - Premisenone given
The event rate effect persists under sustained attention conditions of more than 30 minutes.
“The event rate effect persists under sustained attention conditions of more than 30 minutes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
State regulation deficit and delay aversion make different predictions, particularly about event rate, choice delay, environmental stimulation, and stimulant medication.
“identified a number of differential predictions especially in relation to the effects of event, choice delay, environmental stimulation and stimulant medication.”
Quote in the paperSubstantial claim - Interpretationreasoning
The DAv theory predicts an interaction that takes a linear-like form, with performance increasingly deteriorating as event rate increases, being best under high and worst under low rates.
“The DAv theory would also predict an interaction but this would take a linear-like form, with performance increasingly deteriorating as event rate increases -being best under high and worst under low rates.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Neuropsychological heterogeneity makes it considerably harder in practice to distinguish state regulation deficit from delay aversion.
“While in principle it is possible to distinguish these two patterns of impairment in practice the existence of neuropsychological heterogeneity complicates this task considerably.”
Quote in the paperSubstantial claim- Rests on an assumption: ADHD is neuropsychologically heterogeneous.
- Premisenone given
The SRD model predicts that the impact of activation level on performance takes the form of an inverted 'U' function whereby either increases or decreases in activation from an optimal energetic state lead to performance decrements.
“First, that SRD model predicts that the impact of activation level on performance takes the form of an inverted 'U' function whereby either increases or decreases in activation from an optimal energetic state is predicted to lead to performance decrements, if not efficiently managed.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The relationship between cognitive energetic processes and performance follows an inverted U function.
- Premisecitation
Some children with ADHD appear to have both delay aversion and executive dysfunction.
“some children appear to be affected both by DAv and executive dysfunction (Solanto et al., 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Solanto et al., 2001 source
Not checked in the free run.
- Interpretationnone given
ADHD performance and behaviour depend on the context in which they are measured.
“In this paper we have highlighted the context dependent nature of ADHD performance and behaviour”
Quote in the paperNot a substantial claim - Interpretationreasoning
The SRD model predicts that neutral or white noise would improve performance in states of under-activation as it would act to increase basal activation levels directly.
“The SRD model would predict that neutral or white noise, would improve performance in states of under-activation as it would act to increase basal activation levels directly.”
Quote in the paperNot a substantial claim - Interpretationreasoning
ADHD-related patterns of choice between SS and LL on choice delay tasks may be explicable in terms of SRD as well as DAv.
“This raises the possibility that ADHD-related patterns of choice between SS and LL on choice delay tasks may be explicable in terms of SRD as well as DAv”
Quote in the paperSubstantial claim - Premisecitation
Sonuga-Barke (2002) found that children with ADHD performed less well than controls on trials of both 5 and 15 sec durations, but not on trials of 10 sec duration.
“Children with ADHD were found to perform less well than controls on trials of both 5 and 15 sec.durations, but not on trials of 10 sec.duration.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sonuga- Barke (2002) source
Not checked in the free run.
- Interpretationreasoning
ADHD in different individuals is probably marked by different patterns of neuropsychological impairment.
“ADHD in different individuals is probably marked by different patterns of neuropsychological impairment.”
Quote in the paperSubstantial claim - Interpretationreasoning
The SRD model predicts an interaction between ADHD and event rate: ADHD children would perform poorly under both slower- and faster-than-optimal event rates relative to controls.
“In terms of task performance the SRD model will predict an interaction between ADHD and event rate.ADHD children would perform poorly under both slower-and faster-than-optimal event rates relative to controls.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The relationship between cognitive energetic processes and performance follows an inverted U function.
- Interpretationreasoning
The SRD model predicts that on fast (or optimal) event rates performance will deteriorate as a function of MPH exposure as the optimal levels of activation are exceeded and a state overactivation prevails.
“However, on fast (or optimal) event rates performance will deteriorate as a function of MPH exposure as the optimal levels of activation are exceeded and a state overactivation prevails.”
Quote in the paperSubstantial claim - Interpretationreasoning
It seems increasingly unlikely that ADHD can be explained with reference to any one set of underlying psychopathological alterations.
“It seems increasingly unlikely that ADHD can be explained with reference to any one set of underlying psychopathological alterations, be they executive dysfunction, DAv or SRD.”
Quote in the paperNot a substantial claim - Premisecitation
Preference for SS in ADHD is modulated by levels of environmental stimulation during delay.
“As we point out above preference for SS in ADHD is modulated by levels of environmental stimulation during delay (Antrop et al., 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Antrop et al., 2006 source
Not checked in the free run.
- Interpretationreasoning
The SRD model predicts that on slow event rate trials, performance will deteriorate when children are off, compared to on medication, as medication will normalise the reduced activation associated with this setting.
“The SRD model predicts that on the slow event rate trials, performance will deteriorate when children are off, compared to on medication, as medication will normalise the reduced activation associated with this setting.”
Quote in the paperSubstantial claim
- May combine two claims. 40
- Classified as probably not a substantial claim. 38
May combine two claims.
FindingcitationMany children with ADHD do not show dysfunctional executive processes, while many children without ADHD do show such dysfunction.
“For instance, many children with ADHD appear not to have dysfunctional executive processes, while many children without ADHD, either with others disorders or with no disorder at all, do (Willcutt et al., 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Willcutt et al., 2005 source
Not checked in the free run.
May combine two claims.
FindingcitationEven when ADHD and executive dysfunction co-occur, the pattern is fragmented and variable, and pervasive severe executive deficit is rare.
“Even where ADHD and executive dysfunction co-present the pattern is rather fragmented and variable so that pervasive and severe executive deficit appears quite rare (Nigg et al., 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nigg et al., 2005
Not checked in the free run.
May combine two claims.
FindingcitationOnly a sub-sample of ADHD cases show any one deficit to a clinically significant degree, and rarely in a sufficiently pervasive and severe form to suggest a unitary cause for all children.
“Furthermore, only a sub-sample of ADHD cases seem to show any one deficit to a clinically significant degree and then rarely in a sufficiently pervasive and severe form to suggest a unitary cause for all children (Nigg et al., 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nigg et al., 2005
Not checked in the free run.
May combine two claims.
FindingcitationA similar pattern of different patients being affected by different impairments was found for SRD and executive deficits, but not for DAv.
“More recently, a similar pattern was found for SRD and executive deficits (but not DAv; Wåhlstedt et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wåhlstedt et al., 2009 source
Not checked in the free run.
May combine two claims.
FindingcitationWhen a choice exists between different levels of delay and escape from delay is possible, children with ADHD choose smaller sooner over larger later rewards or invest less time and effort in a task even though this leads to poorer performance.
“So for instance, where there is a choice between different levels of delay associated with different activities and outcomes, and escape from delay is possible, children with ADHD choose SS over LL rewards or invest less time and effort in a task even though it would lead to poorer performance and associated outcomes (Sonuga-Barke et al., 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sonuga-Barke et al., 2004 source
Not checked in the free run.
Classified as probably not a substantial claim.
FindingcitationA recent review failed to provide much convincing evidence for specific alterations in a wide range of putative motivational mechanisms theorized to be implicated in ADHD.
“However, a recent review failed to provide much convincing evidence for specific alterations in a wide range of different putative motivational mechanisms theorized, at one time or another, to be implicated in ADHD (e.g., over-or under-sensitivity to reward delivery; Luman et al., 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Luman et al., 2005 source
Not checked in the free run.
May combine two claims.
FindingcitationThe effect size of case-control differences in neuropsychological or neurological deficits in ADHD is never more than moderate (Cohen's d < .7), and ADHD accounts for only a small proportion of variation in these factors.
“First, the effect size of case-control differences in neuropsychological or neurological deficits are never more than moderate (Cohen's d < .7;Willcutt et al., 2008) with ADHD accounting for only a small proportion of variation in these factors.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Willcutt et al., 2008
Not checked in the free run.
May combine two claims.
FindingcitationDAv and inhibitory control deficits are uncorrelated but both are associated with ADHD; four subgroups can be identified: DAv only, inhibitory deficits only, both deficits, and neither deficit.
“For instance, the classic paper by Solanto et al., (2001) illustrates this most clearly -DAv and inhibitory control deficits were uncorrelated but yet both were associated with ADHD: Four subgroups of children could be identified -DAv and no inhibitory deficits; inhibitory deficits and no DAv; both deficits and neither deficits (see also Thorell, 2007).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationRecent studies suggest underactivation in the ventral striatum in ADHD following the signaling of future rewards.
“To date the role of structural and/or functional alterations within this circuit in ADHD remain under-researched although recent studies suggest underactivation in the ventral striatum in ADHD following the signaling of future rewards (Scheres et al., 2007) and over-activation of the amygdala as delay to rewards increase (Plichta et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scheres et al., 2007 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationDifferent brain networks are differentially activated in relation to rewards and delay.
“Furthermore, our understanding of the functional neuroanatomy of delay-related activity more generally is developing with, for instance, the suggestion that different brain networks are differentially activated in relation to rewards and delay (Ballard and Knutson, 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ballard and Knutson, 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationA subsequent analysis suggested that there might actually be two separate delay-related factors.
“although a subsequent analysis suggested that there might actually be two separate delay-related factors; Bitsakou and Sonuga-Barke, submitted”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bitsakou and Sonuga-Barke, submitted
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationStimulant medication reduces symptoms of ADHD and improves academic and more general functioning.
“Stimulant medication (e.g., methylphenidate and amphetamine) reduces symptoms of ADHD and improves academic and more general functioning (Taylor and Sonuga-Barke, 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Taylor and Sonuga-Barke, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe ventral striatum is highly sensitive to relatively minor temporal alterations on reward discounting tasks.
“Indeed Gregorios-Pippas et al., (2009) recently demonstrated that the ventral striatum is highly sensitive to relatively minor temporal alterations on reward discounting tasks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gregorios-Pippas et al., 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe effects of methylphenidate on performance on an academic task appear to be mediated by an increase in task salience and enhanced positive task valence.
“Consistent with a motivational account of the therapeutic action of methylphenidate, Volkow et al. (2004) has shown that the effects of methylphenidate on performance on an academic task appear to be mediated by an increase in task salience and enhanced positive task valence.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Volkow et al., 2004
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe effects of stimulant medication can be mirrored in improved performance on laboratory-based cognitive tasks.
“These effects can be mirrored in improved performance on laboratory-based cognitive tasks (Coghill et al., 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Coghill et al., 2007 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationRecent studies suggest over-activation of the amygdala as delay to rewards increases in ADHD.
“To date the role of structural and/or functional alterations within this circuit in ADHD remain under-researched although recent studies suggest underactivation in the ventral striatum in ADHD following the signaling of future rewards (Scheres et al., 2007) and over-activation of the amygdala as delay to rewards increase (Plichta et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Plichta et al., 2009 source
Not checked in the free run.
May combine two claims.
FindingcitationEvidence from animal and human models suggests that stimulants reduce impulsiveness, increase preference for delayed over immediate rewards, and speed up the internal clock, thereby reducing the perception of the passage of external time.
“Evidence from animal (Bizot et al., 2007) and human models (van Gaalen et al., 2006) suggest that stimulants reduce impulsiveness and increase preference for delayed over immediate rewards (Pietras et al., 2003) and speed up the 'internal clock' thereby reducing the perception of the passage of external time (Mattel et al., 2004).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bizot et al., 2007
Not checked in the free run.
- cites van Gaalen et al., 2006
Not checked in the free run.
- cites Pietras et al., 2003
Not checked in the free run.
May combine two claims.
FindingcitationAlthough the effect of smaller sooner over larger later choice in ADHD appears generally robust, there is variability across studies with a number reporting negative results.
“Although the effect appears generally robust there is a degree of variability across studies with a number reporting negative results (Bidwell et al., 2007;Scheres et al., 2006;Wåhlstedt, et al., 2009).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
FindingcitationADHD children's preference for larger later rewards increased when they were given access to additional stimulation, a finding consistent with the relationship between DAv and stimulation seeking.
“In one study, ADHD children's preference for LL increased when they were given access to additional stimulation -a finding consistent with the relationship between DAv and stimulation seeking (Antrop et al., 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Antrop et al., 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe first study examining the extent to which methylphenidate reduces impulsive choice in ADHD using a discounting procedure has been published with positive results.
“The first study examining the extent to which methylphenidate reduces impulsive choice in ADHD using a discounting procedure has been published with positive results (Shiels et al., in press).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shiels et al., in press
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationTwo other recent studies give rather mixed results in relation to related concepts of risk taking/gambling and reflection/impulsivity.
“Two other recent studies give rather mixed results in relation to related concepts (Risk Taking/Gambling -DeVito et al., 2008;reflection/impulsivity -DeVito et al. 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites DeVito et al., 2008
Not checked in the free run.
May combine two claims.
FindingcitationIn the Marco et al. (2009) study, ADHD children chose smaller sooner over larger later rewards more than controls under both conditions, but this preference was greater when there was no post-reward delay and overall delay could be avoided.
“In this study ADHD children chose SS over LL more than controls under both conditions -but this preference was greater when there was no post-reward delay and overall delay could be avoided.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Marco et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationA recent study by Scheres et al. (2008) supported the notion that DAv may be associated with the hyperactive/impulsive dimension rather than the inattentive one.
“As far as ADHD sub-types are concerned it has been suggested that DAv may be associated with the hyperactive/impulsive dimension rather than the inattentive one.Inconsistent with the DAv theory, a recent study by Scheres et al. (2008) supported this notion.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scheres et al., 2008 source
Not checked in the free run.
May combine two claims.
PremisecitationHeterogeneity is an established characteristic of ADHD at the level of etiology and clinical presentation.
“Heterogeneity is an established characteristic of ADHD at the level of etiology (with different genes and different environments being implicated in different individuals; Zhou et al., 2008) and at the level of clinical presentation (as captured by diagnostic subtypes; Brookes et al., 2008).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Zhou et al., 2008
Not checked in the free run.
- cites Brookes et al., 2008
Not checked in the free run.
May combine two claims.
PremisecitationExecutive functions are dynamic processes, and performance on executive tasks fluctuates across states and settings.
“Executive functions are themselves dynamic processes and performance on executive tasks will fluctuate from state-tostate and setting-to-setting (Nigg and Casey, 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nigg and Casey, 2005
Not checked in the free run.
May combine two claims.
InterpretationcitationDAv can also be manifest in non-choice settings through secondary adaptations, giving it a broad impact across choice and non-choice settings, with effects being context specific.
“DAv can also be manifest in non-choice settings through what we refer to here as secondary adaptations -in this sense DAv has a broad impact across different choice and non-choice settings -with effects being context specific (Sonuga-Barke, 1994;Sonuga-Barke, 2005;Bitsakou et al., 2009).”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
InterpretationcitationExecutive deficits and DAv appear to be based within different brain circuits.
“In keeping with the notion that executive deficits and DAv are dissociable elements within the pathophysiology of ADHD, they appear to be based within different brain circuits (Dalley et al., 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dalley et al., 2008
Not checked in the free run.
May combine two claims.
InterpretationreasoningThere is some initial support for the statistical overlap between primary manifestations and secondary adaptations of DAv, although this may be more complicated than initially thought.
“There is therefore some initial support for the statistical overlap between primary manifestations and secondary adaptations of DAv, although this may be more complicated than initially thought.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDopamine appears to play a special role in the control of delay-related responding.
“Dopamine is a key neuro-modulator (Cools, 2008) and appears to play a special role in the control of delay-related responding (Roesch et al., 2007).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Cools, 2008
Not checked in the free run.
- cites Roesch et al., 2007
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAt a cellular level, stimulant drugs increase levels of extra-cellular dopamine either by increasing its release or by reducing its reuptake through blocking the dopamine or norepinephrine transporter.
“At a cellular level it seems fairly clear that stimulant drugs increase levels of extra-cellular dopamine either by increasing its release, (e.g., amphetamines; Joyce et al., 2007), or reducing its reuptake by blocking the dopamine or norepinephrine transporter (e.g., methylphenidate; Schiffer et al., 2006).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Joyce et al., 2007
Not checked in the free run.
- cites Schiffer et al., 2006
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationIn the cognitive-energetic framework, task efficiency is considered as a product of a combination of elementary cognitive stages and their energy distribution.
“In this model task efficiency is considered as a product of a combination of elementary cognitive stages (level 1 -stimulus encoding, memory search, binary decision and motor preparation) and their energy distribution (level 2 and 3 -see figure 2).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningIf deficits in ADHD were located exclusively at level 1, independent of levels 2 and 3, this would be consistent with a model that presents ADHD as the result of a fixed core cognitive deficit.
“Therefore if deficits in ADHD were to be located exclusively at this level, independent of levels 2 and 3, this would be consistent with a model that presents ADHD as the result of a fixed core cognitive deficit.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLater accounts have drawn a distinction between phasic arousal processes and tonic activation processes, with the former specifically affecting input processes such as stimulus encoding and the latter affecting output processes such as motor preparation.
“Although at first arousal was seen as a unified construct, being the non-directional component of motivation, later accounts (Mulder, 1986;Sanders, 1983Sanders, , 1998)), have drawn a useful distinction between phasic arousal processes and tonic activation processes, with the former specifically affecting input processes (i.e., stimulus encoding) and the later affecting output processes (i.e., mot”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Mulder, 1986
Not checked in the free run.
- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
May combine two claims.
InterpretationreasoningThese effects are relatively modest in size, suggesting neuropsychological heterogeneity and that only a sub-set of ADHD children display DAv.
“As is the case with executive deficits these effects are relatively modest in size suggesting neuropsychological heterogeneity and that only a sub-set of ADHD children display DAv.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationIn part, the impulsive choices associated with substance abuse disorders and conduct disorders may be due to the overlap between these conditions and ADHD, or at least to a common neuro-biological vulnerability.
“In part the impulsive choices associated with substance abuse disorders and conduct disorders may be due to the overlap between these conditions and ADHD, or at least to a common neuro-biological vulnerability (Szobot and Bukstein, 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Szobot and Bukstein, 2008
Not checked in the free run.
Classified as probably not a substantial claim.
Premisenone givenSRD models emphasize that impairment in ADHD is highly variable as a function of context.
“These models emphasize that impairment in ADHD is highly variable as a function of context.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThere is evidence to support the notion that ADHD children can be DAv in both the narrow sense of choosing smaller sooner over larger later rewards to escape delay in choice situations and in the broader sense seen in the effects of time-on-task or trial length on performance in non-choice situations.
“In summary there is evidence to support the notion that ADHD children can be DAv in both the narrow sense of choosing SS over LL rewards to escape delay in choice situations and in the broader sense as in seen in the effects of time-on-task/trial length on performance in non-choice situations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLevel 1 components are core structural processes that mediate between a stimulus and response.
“Level 1components are seen as core structural processes that mediate between a stimulus and response.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
May combine two claims.
PremisecitationEffort at level 3 is necessary to meet task demands and to compensate for a sub-optimal energetic state by modulating arousal and activation levels.
“Effort (level 3) is necessary to meet task demands and to compensate for a sub-optimal energetic state by modulating arousal and activation levels.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe development of SRD accounts of ADHD is situated within the cognitive-energetic framework of information processing efficiency developed by Sanders.
“The development of SRD accounts of ADHD are situated within the cognitiveenergetic framework of information processing efficiency developed by Sanders (1983Sanders ( , 1998)).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationAccording to the cognitive energetic framework, the functioning of elementary stages at level 1 is regulated by the arousal and activation processes of the subject represented at level 2.
“According to the cognitive energetic framework the functioning of these elementary stages at level 1 is regulated by the arousal and activation processes of the subject represented at level 2.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Premisenone givenIn contrast to the DAv model, SRD models have as their primary focus the energetic state of the ADHD child and the explanation of state-specific and context-dependent aspects of cognitive performance deficits.
“In contrast to the DAv model, however, their primary focus is on the energetic state of the ADHD child and they have as their primary goal the explanation of statespecific and context dependent aspects of cognitive performance deficits.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEnergetic processes are also affected by task characteristics; for instance, arousal level is influenced by stimulus repetition.
“Energetic processes are also affected by task characteristics.For instance, arousal level is influenced by stimulus repetition.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
May combine two claims.
PremisecitationWorse performance in a slow condition by adults with ADHD was accompanied by less activity in ACC and diminished activity in thalamus.
“Worse performance in a slow condition by adults with ADHD was accompanied, together with diminished activity in thalamus, by less activity in ACC”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kooistra et al, 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUsing Sternberg's additive factor method, Sanders showed that the processing stages at level 1, as well as the energetic levels 2 and 3, could be separately influenced by task manipulations.
“Using Sternberg's additive factor method (1969), Sanders showed that the processing stages at level 1, as well as the energetic levels 2 and 3 could be separately influenced by what he called 'task manipulations'.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Sternberg, 1969 source
Not checked in the free run.
- cites Sanders, 1983
Not checked in the free run.
- cites Sanders, 1998
Not checked in the free run.
May combine two claims.
PremisecitationThe typically slow and variable response style in ADHD, when stimuli are presented at a low rate, is a consistent finding, whereas findings are mixed with respect to errors of commission.
“The typically slow and variable response style in ADHD, when stimuli are presented at a low rate, is a consistent finding in these studies, whereas findings are mixed with respect to errors of commission”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Börger et al., 2000a
Not checked in the free run.
- cites Potgieter et al., 2000
Not checked in the free run.
- cites Scheres et al., 2001 source
Not checked in the free run.
Classified as probably not a substantial claim.
Premisenone givenThe SRD model of ADHD attributes deficits to failures to properly regulate energetical state (arousal/activation) when challenged in sub-optimal settings or states.
“In a general sense the SRD model of ADHD deficits sees these as being due to failures to properly regulate energetical state (arousal/activation) when challenged to do so in sub-optimal settings or states.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationcitationFrom an SRD perspective, slow event rates produce under-activation and MPH increases the activation state, which in turn results in enhanced task performance.
“From an SRD perspective this is interpreted as evidence that slow event rates produce under-activation and that MPH increases the activation state, which in turn results in enhanced task performance”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sikstrom and Söderlund, 2007 source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenThe hallmark of the state regulation deficit is the impact of variations in required activation level induced by changes in task characteristics on task performance.
“The hallmark of this deficit is the impact of variations in required activation level induced by changes in task characteristics on task performance.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenEvent rate is a key probe of activation processes.
“Of these, event rate has been seen as a / the key probe of activation processes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenNeuropsychological heterogeneity changes how neuropsychological dysfunction in ADHD is conceptualised, theorised, and measured.
“Neuropsychological heterogeneity significantly alters the way we conceptualise, theorise and measure neuropsychological dysfunction in ADHD.”
Quote in the paperNot a substantial claim- Rests on an assumption: ADHD is neuropsychologically heterogeneous.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenThe DAv model predicts linear-like effects whereby performance deficits are expected on delayed compared with a non-delayed condition; no difference under high event rate, some differences on intermediate trials, and largest effects on slow event rate conditions.
“In contrast, the DAv model predicts linear-like effects whereby performance deficits are expected on delayed compared with a non-delayed condition; the prediction being no difference under high event rate conditions, some differences emerging on intermediate trials and the largest effects on slow event rate conditions.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe Kooistra et al. (2006) fMRI study indicated that the anterior cingulate and the thalamus are involved in maintaining a state of optimal readiness to respond through effort allocation; during a slow event rate, these areas were less active in adults who had been diagnosed with ADHD as children.
“The Kooistra et al, (2006) fMRI study mentioned above indicated that the anterior cingulate and the thalamus are involved in maintaining a state of optimal readiness to respond through effort allocation; during a slow event rate, these areas were less active in adults who had been diagnosed with ADHD as children.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kooistra et al, (2006)
Not checked in the free run.
May combine two claims.
PremisecitationChildren with ADHD have a rapid decline in task efficiency over time with a slow presentation rate, but not with a fast presentation rate.
“Children with ADHD were found to have a rapid decline in task efficiency over time with a slow presentation rate, but not with a fast presentation rate”
Quote in the paperSubstantial claim0 of 1 sources checked- cites van der Meere, 2002
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningBoth SRD and DAv highlight the dynamic and context dependent nature of task performance.
“In general terms they both highlight the dynamic and context dependent nature of task performance”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningSS is related to higher event rate and LL to lower.
“SS is related to higher event rate and LL to lower.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S4 (based).
InterpretationreasoningThe effects of delay on preference for SS would be more strongly related to delay level (event rate) than reward magnitude per se.
“One might also predict that these effects would be more strongly related to delay level (event rate) than reward magnitude per se.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenADHD children choose SS over LL more than controls.
“The fact that ADHD children choose SS over LL more than controls has traditionally been regarded as the hallmark of DAv.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe DAv account sees accessing stimulation during delay as a means of altering the perception and aversiveness of the passage of time during delay.
“The DAv account see accessing stimulation during delay as a means of altering the perception and aversiveness of the passage of time during delay.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe processes and effects involved in state regulation deficit and delay aversion are dynamic and vary across time and settings.
“First, is the dynamic nature of these processes and effects and the way that they vary from time-to-time and setting to setting.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe DAv model predicts that non-temporal stimulation would be most influential in reducing preference for SS, while temporal stimulation should make time drag and increase preference for SS.
“For the DAv model the stimulation would be most influential in reducing preference for SS if it is non-temporal in nature (i.e., de-emphasized time in passing) while temporal stimulation should make time drag and increase preference for SS.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningFor DAv, performance is expected to be worse 'off' medication under slow event rates, but medication would have either a neutral or a positive effect on performance in the fast rate condition.
“For DAv, as with the SRD model performance is expected to be worse 'off' medication under slow event rates.However, in contrast to the SRD model the DAv theory predicts that medication would have either a neutral or a positive effect on performance in the fast rate condition.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe SRD and DAv theoretical constructs share many features in common and often make similar predictions.
“the SRD and DAv theoretical constructs share many features in common and often make similar predictions.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThe underlying impairments in state regulation deficit and delay aversion are expressed very similarly in many settings, so telling them apart requires subtle distinctions.
“differentiating these different elements relies on dissecting some rather subtle distinctions -with the two different underlying patterns of impairment expressing themselves in very similar ways in many settings.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningIn SRD, both event rate and MPH are regarded as important regulators of activation state and are predicted to act additively to change cognitive energetic dynamics and alter performance.
“Second, in SDR both event rate and MPH are regarded as important regulators of activation state and these factors are predicted to act additively to change the cognitive energetic dynamics of the task and therefore alter performance.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe effect of choosing SS over LL is especially pronounced where choice of the SS allows the child to reduce trial/session length and seems to be normalised where patients are allowed access to additional stimulation during delay.
“It is especially pronounced where choice of the SS allows the child to reduce trial/session length (Marco et al., 2009) and seems to be normalised where patients are allowed access to additional stimulation during delay (Antrop et al., 2006).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Marco et al., 2009 source
Not checked in the free run.
- cites Antrop et al., 2006
Not checked in the free run.
May combine two claims.
PremisecitationThe ISI effect on RT performance diminishes as a function of age, is independent of IQ level, and differentiates at the group level between ADHD and aggressive behaviour problems such as conduct disorder and oppositional defiant disorder.
“The ISI effect on RT performance diminishes as a function of age (van der Meere and Stemerdink, 1999), is independent of IQ level (van der Meere and van der Meere, 2004), and differentiates at the group level between ADHD and aggressive behaviour problems such as conduct disorder and oppositional defiant disorder (van der Meere et al., 2005).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites van der Meere and Stemerdink, 1999 source
Not checked in the free run.
- cites van der Meere and van der Meere, 2004
Not checked in the free run.
- cites van der Meere et al., 2005
Not checked in the free run.
May combine two claims.
InterpretationreasoningState regulation deficit and delay aversion are conceptually and theoretically distinct constructs.
“While these two notions share some features we established their conceptual and theoretical distinctiveness”
- Also stated in: § ISSUES OF IMPLEMENTATION AND APPLICATION · plain
“we can differentiate SRD and DAv in terms of concepts and predictions”
Quote in the paperNot a substantial claim- Also stated in: § ISSUES OF IMPLEMENTATION AND APPLICATION · plain
May combine two claims.
InterpretationreasoningFrom the SRD perspective, these findings are consistent with the notion that ADHD are either easily under-activated or find it more difficult to counteract under-activation.
“From the perspective of the SRD model these findings are consistent with the notion that ADHD are either easily under-activated or find it more difficult to counteract under-activation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenIn the DAv hypothesis, MPH is predicted to operate by increasing the salience of events and/or improving their valence by changing time perception and/or enhancing the signalling of future events and rewards.
“In contrast, in the DAv hypothesis MPH is predicted to operate by increasing the salience of events and/or improving their valence by changing time perception and/or enhancing the signalling of future events and rewards.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
There has been no systematic in-depth attempt to compare and contrast DAv and SRD in the literature.
“Given this uncertainty it is perhaps surprising that there has been no systematic in-depth attempt to compare and contrast DAv and SRD so far in the literature.”
The paper relies on this without support.
There has been no direct study of the independence of the neurobiological foundations of executive deficits and DAv within ADHD.
“However, there has to date been no direct study of the independence of the neurobiological foundations of these distinctive elements within ADHD.”
The authors state this as an assumption.
The relationship between cognitive energetic processes and performance follows an inverted U function.
“the relationship between cognitive energetic processes and performance as affected by these factors is predicted to follow an inverted 'U' function.”
The authors state this as an assumption.
The concept of optimality can be extended from required to desired event rate/delay.
“if we assume that the concept of optimality can be extended from required to desired event rate/delay as described above.”
The paper relies on this without support.
ADHD is neuropsychologically heterogeneous.
“Neuropsychological heterogeneity significantly alters the way we conceptualise, theorise and measure neuropsychological dysfunction in ADHD.”
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?
There is considerable heterogeneity in cognitive impairments in ADHD, with some patients not showing impairments or only in some cognitive domains.
“Last, there is considerable heterogeneity in cognitive impairments, with some patients not showing impairments or only in some cognitive domains, which may be underpinned by different pathophysiological pathways (Sonuga-Barke, 2003; Nigg et al., 2005; Sonuga-Barke et al., 2010).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Sonuga-Barke et al., 2010
Anticipation of forced waiting times, which are particularly aversive to individuals with ADHD, also elicited enhanced amygdala activation.
“Interestingly, the anticipation of forced waiting times, which are particularly aversive to individuals with ADHD (Sonuga-Barke et al., 2010) also elicited enhanced amygdala activation (Wilbertz et al., 2013).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Sonuga-Barke et al., 2010
Most studies report that ADHD-related increases in reaction time variability are attenuated or disappear during faster event rates.
“Most studies report that ADHD-related increases in RTV disappear are attenuated, and often disappear, during faster ERs [39,83,85,86].”
From Reaction Time Variability in ADHD: A Review (2012) · cites this paper as [85]
Long event rates, relative to what is optimal for the task, appear to exacerbate ADHD-related between-group differences.
“Alternatively, long ERs, relative to what is optimal for the task, appear to exacerbate ADHD-related between-group differences [14,85].”
From Reaction Time Variability in ADHD: A Review (2012) · cites this paper as [85]
Cites
(1994) · DigitalGeorgetown (Georgetown University Library) · Cited by 10,542 · see citing works
The Emotional Brain: The Mysterious Underpinnings of Emotional Life
LeDoux, J. E. (2004) · Medical Entomology and Zoology · Cited by 4,212 · see citing works
Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., & Pennington, B. F. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.02.006 · Cited by 3,568 · see citing works
The discovery of processing stages: Extensions of Donders' method
Sternberg, S. (1969) · Acta Psychologica · doi:10.1016/0001-6918(69)90055-9 · Cited by 3,137 · see citing works
Affective neuroscience of pleasure: reward in humans and animals
Berridge, K. C., & Kringelbach, M. L. (2008) · Psychopharmacology · doi:10.1007/s00213-008-1099-6 · Cited by 1,254 · see citing works
Arousal, activation, and effort in the control of attention.
Pribram, K. H., & McGuinness, D. (1975) · Psychological Review · doi:10.1037/h0076780 · Cited by 1,208 · see citing works
Characterizing cognition in ADHD: beyond executive dysfunction
Castellanos, F. X., Sonuga-Barke, E. J. S., Milham, M. P., & Tannock, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.01.011 · Cited by 1,170 · see citing works
Self-citationsagvolden, T., johansen, E. B., aase, H., & russell, V. A. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000075 · Cited by 1,035 · see citing works
Sonuga-Barke, E. J. S. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.09.008 · Cited by 962 · see citing works
Self-citationImpulsive choice induced in rats by lesions of the nucleus accumbens core
Cardinal, R. N., Pennicott, D. R., Lakmali, C., Sugathapala, Robbins, T. W., & Everitt, B. J. (2001) · Science · doi:10.1126/science.1060818 · Cited by 923 · see citing works
Parasuraman, R. (1998) · Cited by 917 · see citing works
Psychological heterogeneity in AD/HD—a dual pathway model of behaviour and cognition
Sonuga-Barke, E. J. S. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00432-6 · Cited by 901 · see citing works
Self-citationTowards a model of stress and human performance
Sanders, A. F. (1983) · Acta Psychologica · doi:10.1016/0001-6918(83)90016-1 · Cited by 878 · see citing works
Bush, G., Frazier, J. A., Rauch, S. L., Seidman, L. J., Whalen, P. J., Jenike, M. A., Rosen, B. R., & Biederman, J. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00083-9 · Cited by 866 · see citing works
The dual pathway model of AD/HD: an elaboration of neuro-developmental characteristics
Sonuga-Barke, E. J. S. (2003) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2003.08.005 · Cited by 816 · see citing works
Self-citationSolanto, M. V., Abikoff, H., Sonuga-Barke, E., Schachar, R., Logan, G. D., Wigal, T., Hechtman, L., Hinshaw, S., & Turkel, E. (2001) · Journal of Abnormal Child Psychology · doi:10.1023/a:1010329714819 · Cited by 639 · see citing works
Self-citationBarkley, R. A., Edwards, G., Laneri, M., Fletcher, K., & Metevia, L. (2001) · Journal of Abnormal Child Psychology · doi:10.1023/a:1012233310098 · Cited by 638 · see citing works
Roesch, M. R., Calu, D. J., & Schoenbaum, G. (2007) · Nature Neuroscience · doi:10.1038/nn2013 · Cited by 597 · see citing works
NIGG, J. T., & CASEY, B. J. (2005) · Development and Psychopathology · doi:10.1017/s0954579405050376 · Cited by 593 · see citing works
Sergeant, J. A. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.09.010 · Cited by 589 · see citing works
Brown, S. W. (1997) · Perception & Psychophysics · doi:10.3758/bf03205526 · Cited by 588 · see citing works
Hyperactivity and Delay Aversion—I. The Effect of Delay on Choice
Sonuga‐Barke, E. J. S., Taylor, E., Sembi, S., & Smith, J. (1992) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1992.tb00874.x · Cited by 578 · see citing works
Self-citationThe impact of reinforcement contingencies on AD/HD: A review and theoretical appraisal
Luman, M., Oosterlaan, J., & Sergeant, J. A. (2005) · Clinical Psychology Review · doi:10.1016/j.cpr.2004.11.001 · Cited by 541 · see citing works
Nigg, J. T. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.011 · Cited by 513 · see citing works
Scheres, A., Milham, M. P., Knutson, B., & Castellanos, F. X. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.04.042 · Cited by 499 · see citing works
Schott, B. H., Minuzzi, L., Krebs, R. M., Elmenhorst, D., Lang, M., Winz, O. H., Seidenbecher, C. I., Coenen, H. H., Heinze, H.-J., Zilles, K., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2058-08.2008 · Cited by 496 · see citing works
Altered reinforcement mechanisms in attention-deficit/hyperactivity disorder.
Sagvolden, T., Aase, H., Zeiner, P., & Berger, D. (1998) · PubMed · Cited by 491 · see citing works
Neurobehavioral mechanisms of impulsivity: fronto-striatal systems and functional neurochemistry
Dalley, J. W., Mar, A. C., Economidou, D., & Robbins, T. W. (2008) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2007.12.021 · Cited by 467 · see citing works
Dissociable neural representations of future reward magnitude and delay during temporal discounting
Ballard, K., & Knutson, B. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.004 · Cited by 450 · see citing works
Catecholamines in Attention-Deficit Hyperactivity Disorder: Current Perspectives
Pliszka, S. R., McCracken, J. T., & Maas, J. W. (1996) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199603000-00006 · Cited by 440 · see citing works
Energetics and Human Information Processing
Hockey, G. R. J., Gaillard, A. W. K., & COLES, M. G. H. (1986) · Springer eBooks · doi:10.1007/978-94-009-4448-0 · Cited by 424 · see citing works
Forbes, E. E., Brown, S. M., Kimak, M., Ferrell, R. E., Manuck, S. B., & Hariri, A. R. (2009) · Molecular Psychiatry · doi:10.1038/sj.mp.4002086 · Cited by 408 · see citing works
A specific role for the thalamus in mediating the interaction of attention and arousal in humans.
Portas, C. M., Rees, G., Howseman, A. M., Josephs, O., Turner, R., & Frith, C. D. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-21-08979.1998 · Cited by 395 · see citing works
Kuntsi, J., Oosterlaan, J., & Stevenson, J. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00711 · Cited by 387 · see citing works
The top and the bottom of ADHD: a neuropsychological perspective
Sergeant, J. A., Geurts, H., Huijbregts, S., Scheres, A., & Oosterlaan, J. (2003) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2003.08.004 · Cited by 372 · cited 16× · see citing works
“Edmund J S Sonuga-Barke 1,2* , Jan R Wiersema 2 , Jacob J van der Meere 2,3 , and Herbert Roeyers 2 .”
BackgroundMethodInfluentialLaBerge, D. (1995) · Harvard University Press eBooks · doi:10.4159/harvard.9780674183940 · Cited by 369 · see citing works
Arnsten, A. F., & Dudley, A. G. (2005) · Behavioral and Brain Functions · doi:10.1186/1744-9081-1-2 · Cited by 363 · see citing works
Positron emission tomographic measurements of pulvinar activity during an attention task
LaBerge, D., & Buchsbaum, M. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-02-00613.1990 · Cited by 353 · see citing works
Role of dopamine in the motivational and cognitive control of behavior
Cools, R. (2008) · The Neuroscientist · doi:10.1177/1073858408317009 · Cited by 352 · cited 2× · see citing works
“Dopamine is a key neuro-modulator (Cools, 2008) and appears to play a special role in the control of delay-related responding (Roesch et al., 2007).”
BackgroundSonuga-Barke, E. J. S., Sergeant, J. A., Nigg, J., & Willcutt, E. (2008) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2007.11.008 · Cited by 348 · see citing works
Self-citationAltered reinforcement mechanisms in attention-deficit/hyperactivity disorder
Sagvolden, T., Aase, H., Zeiner, P., & Berger, D. (1998) · Behavioural Brain Research · doi:10.1016/s0166-4328(97)00170-8 · Cited by 345 · see citing works
Critical Involvement of Dopaminergic Neurotransmission in Impulsive Decision Making
van Gaalen, M. M., van Koten, R. C., Schoffelmeer, A. N. M., & Vanderschuren, L. J. M. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.06.005 · Cited by 338 · see citing works
Rapport, M. D., Alderson, R. M., Kofler, M. J., Sarver, D. E., Bolden, J., & Sims, V. (2008) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-008-9215-y · Cited by 331 · see citing works
Scheres, A., Dijkstra, M., Ainslie, E., Balkan, J., Reynolds, B., Sonuga-Barke, E., & Castellanos, F. X. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.10.012 · Cited by 327 · see citing works
Self-citationSanders, A. F., & Sanders, A. (2013) · Psychology Press eBooks · doi:10.4324/9780203774250 · Cited by 325 · see citing works
Neural systems implicated in delayed and probabilistic reinforcement
Cardinal, R. N. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.004 · Cited by 318 · see citing works
Executive functions and ADHD in adults: evidence for selective effects on ADHD symptom domains
Nigg, J. T., Stavro, G., Ettenhofer, M., Hambrick, D. Z., Miller, T., & Henderson, J. M. (2005) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.114.3.706 · Cited by 312 · see citing works
Volkow, N. D., Wang, G.-J., Fowler, J. S., Telang, F., Maynard, L., Logan, J., Gatley, S. J., Pappas, N., Wong, C., Vaska, P., et al. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.7.1173 · Cited by 281 · see citing works
Development and Psychopathology
Hersen, M., & Ammerman, R. T. (2000) · Routledge eBooks · doi:10.4324/9781410605320-9 · Cited by 274 · see citing works
Plichta, M. M., Vasic, N., Wolf, R. C., Lesch, K.-P., Brummer, D., Jacob, C., Fallgatter, A. J., & Grön, G. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.07.008 · Cited by 272 · see citing works
Schulz, K. P., Fan, J., Tang, C. Y., Newcorn, J. H., Buchsbaum, M. S., Cheung, A. M., & Halperin, J. M. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.9.1650 · Cited by 262 · see citing works
Listen to the noise: noise is beneficial for cognitive performance in ADHD
Söderlund, G., Sikström, S., & Smart, A. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01749.x · Cited by 256 · see citing works
Neural substrates of decision making in adults with attention deficit hyperactivity disorder
Ernst, M., Kimes, A. S., London, E. D., Matochik, J. A., Eldreth, D., Tata, S., Contoreggi, C., Leff, M., & Bolla, K. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.6.1061 · Cited by 254 · see citing works
Elements of human performance: reaction processes and attention in human skill.
Soetens, E. L. L. (1999) · VUBIR (Vrije Universiteit Brussel) · Cited by 246 · see citing works
Heterogeneity in ADHD: Neuropsychological Pathways, Comorbidity and Symptom Domains
Wåhlstedt, C., Thorell, L. B., & Bohlin, G. (2009) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-008-9286-9 · Cited by 237 · see citing works
The discovery of processing stages
Sternberg, S. (1969) · Max Planck Digital Library · Cited by 235 · see citing works
Beyond polemics: science and ethics of ADHD
Singh, I. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2514 · Cited by 233 · see citing works
Thorell, L. B. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01777.x · Cited by 230 · see citing works
ADHD and the Prefrontal Cortex
Arnsten, A. F. T. (2009) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2009.01.018 · Cited by 220 · see citing works
The Concept and Measurement of Mental Effort
Mulder, G. (1986) · Springer eBooks · doi:10.1007/978-94-009-4448-0_12 · Cited by 218 · see citing works
Phonological Processing, Not Inhibitory Control, Differentiates ADHD and Reading Disability
Purvis, K., & Tannock, R. (2000) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200004000-00018 · Cited by 218 · see citing works
Delay and reward choice in ADHD: An experimental test of the role of delay aversion.
Marco, R., Miranda, A., Schlotz, W., Melia, A., Mulligan, A., Müller, U., Andreou, P., Butler, L., Christiansen, H., Gabriels, I., et al. (2009) · Neuropsychology · doi:10.1037/a0014914 · Cited by 214 · see citing works
Self-citationStimulus-dependent dopamine release in attention-deficit/hyperactivity disorder.
Sikström, S., & Söderlund, G. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.1047 · Cited by 205 · see citing works
Bobova, L., Finn, P. R., Rickert, M. E., & Lucas, J. (2009) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0014503 · Cited by 203 · see citing works
Recent Developments in Neuropsychological Models of Childhood Psychiatric Disorders
Willcutt, E. G., Sonuga-Barke, E. J. S., Nigg, J. T., & Sergeant, J. A. (2008) · Advances in Biological Psychiatry · doi:10.1159/000118526 · Cited by 193 · see citing works
Self-citationPreparing for Action: Inferences from CNV and LRP
Leuthold, H., Sommer, W., & Ulrich, R. (2004) · Journal of Psychophysiology · doi:10.1027/0269-8803.18.23.77 · Cited by 184 · see citing works
Bidwell, L. C., Willcutt, E. G., DeFries, J. C., & Pennington, B. F. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.04.003 · Cited by 183 · see citing works
Sandberg, S. T. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511544767.007 · Cited by 177 · see citing works
Performance of Children with ADHD on Tests Sensitive to Frontal Lobe Dysfunction
LOGE, D. V., Staton, R. D., & Beatty, W. W. (1990) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199007000-00006 · Cited by 174 · see citing works
Personality Predicts Brain Responses to Cognitive Demands
Kumari, V., Ffytche, D. H., Williams, S., & Gray, J. A. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.3206-04.2004 · Cited by 172 · see citing works
Sensitivity to Reward Delay in Children with Attention Deficit Hyperactivity Disorder (ADHD)
Tripp, G., & Alsop, B. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00764 · Cited by 170 · cited 4× · see citing works
“In contrast to this generally disappointing picture is the more consistent evidence for an effect of delay, prior to delivery of rewards, on ADHD children’s responses and choices (Tripp and Alsop 2001).”
BackgroundResultInfluentialCoghill, D. R., Rhodes, S. M., & Matthews, K. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.12.030 · Cited by 170 · see citing works
Devilbiss, D. M., & Waterhouse, B. D. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1573-04.2004 · Cited by 162 · see citing works
Schweitzer, J. B., & Sulzer‐Azároff, B. (1995) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1995.tb02321.x · Cited by 162 · see citing works
Scheres, A., Oosterlaan, J., & Sergeant, J. A. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00728 · Cited by 160 · see citing works
Matell, M. S., King, G., & Meck, W. H. (2004) · Behavioral Neuroscience · doi:10.1037/0735-7044.118.1.150 · Cited by 155 · see citing works
Temporal reward discounting and ADHD: task and symptom specific effects
Scheres, A., Lee, A., & Sumiya, M. (2008) · Journal of Neural Transmission · doi:10.1007/s00702-007-0813-6 · Cited by 154 · see citing works
ADHD and delay aversion: the influence of non‐temporal stimulation on choice for delayed rewards
Antrop, I., Stock, P., Verté, S., Wiersema, J. R., Baeyens, D., & Roeyers, H. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01619.x · Cited by 148 · see citing works
Self-citationShiels, K., Hawk, L. W., Reynolds, B., Mazzullo, R. J., Rhodes, J. D., Pelham, W. E., Waxmonsky, J. G., & Gangloff, B. P. (2009) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0017259 · Cited by 146 · see citing works
The effects of methylphenidate on decision making in attention-deficit/hyperactivity disorder
DeVito, E. E., Blackwell, A. D., Kent, L., Ersche, K. D., Clark, L., Salmond, C. H., Dezsery, A. M., & Sahakian, B. J. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.04.017 · Cited by 142 · see citing works
Chee, P., Logan, G. D., Schachar, R. J., Lindsay, P. H., & Wachsmuth, R. (1989) · Research on Child and Adolescent Psychopathology · doi:10.1007/bf00915033 · Cited by 138 · see citing works
Controlled processing and vigilance in hyperactivity: Time will tell
van der Meere, J., & Sergeant, J. A. (1988) · Research on Child and Adolescent Psychopathology · doi:10.1007/bf00913475 · Cited by 137 · see citing works
Bitsakou, P., Psychogiou, L., Thompson, M., & Sonuga-Barke, E. J. S. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.09.015 · Cited by 134 · see citing works
Self-citationSchiffer, W. K., Volkow, N. D., Fowler, J. S., Alexoff, D. L., Logan, J., & Dewey, S. L. (2006) · Synapse · doi:10.1002/syn.20235 · Cited by 134 · see citing works
Rubia, K., Taylor, A., Taylor, E., & Sergeant, J. A. (1999) · Perceptual and Motor Skills · doi:10.2466/pms.1999.89.3f.1237 · Cited by 132 · see citing works
Event rate and event‐related potentials in ADHD
Wiersema, R., Van Der Meere, J., Roeyers, H., Van, C., & Baeyens, D. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2005.01592.x · Cited by 129 · see citing works
Self-citationStimulation Seeking and Hyperactivity in Children with ADHD
Antrop, I., Roeyers, H., Van Oost, P., & Buysse, A. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1017/s0021963099005302 · Cited by 129 · see citing works
Self-citationMotor control and state regulation in children with ADHD: a cardiac response study
Börger, N., & van der Meere, J. (2000) · Biological Psychology · doi:10.1016/s0301-0511(99)00040-x · Cited by 128 · see citing works
Inhibitory Deficits, Delay Aversion and Preschool AD/HD:Implications for the Dual Pathway Model
Dalen, L., Sonuga-Barke, E. J. S., Hall, M., & Remington, B. (2004) · Neural Plasticity · doi:10.1155/np.2004.1 · Cited by 122 · see citing works
Self-citationBizot, J., Chenault, N., Houzé, B., Herpin, A., David, S., Pothion, S., & Trovero, F. (2007) · Psychopharmacology · doi:10.1007/s00213-007-0781-4 · Cited by 121 · see citing works
Heart Rate Variability and Sustained Attention in ADHD Children
Börger, N. A., van der Meere, J., Ronner, A. E., Alberts, E., Geuze, R. H., & Bogte, H. (1999) · Research on Child and Adolescent Psychopathology · doi:10.1023/a:1022610306984 · Cited by 119 · see citing works
Advances in Biological Psychiatry
(2014) · Advances in biological psychiatry · doi:10.1159/issn.0378-7354 · Cited by 117 · see citing works
Origins of altered reinforcement effects in ADHD
Johansen, E., Killeen, P. R., Russell, V. A., Tripp, G., Wickens, J. R., Tannock, R., Williams, J., & Sagvolden, T. (2009) · Behavioral and Brain Functions · doi:10.1186/1744-9081-5-7 · Cited by 108 · see citing works
LUBKE, G. H., MUTHÉN, B., MOILANEN, I. K., McGOUGH, J. J., LOO, S. K., SWANSON, J. M., YANG, M. H., TAANILA, A., HURTIG, T., JÄRVELIN, M.-R., et al. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e31815750dd · Cited by 102 · see citing works
Short-Term Temporal Discounting of Reward Value in Human Ventral Striatum
Gregorios-Pippas, L., Tobler, P. N., & Schultz, W. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90730.2008 · Cited by 101 · see citing works
The Neuropsychology of Attention: Emotional and Motivational Controls
McGuinness, D., & Pribram, K. H. (1980) · Elsevier eBooks · doi:10.1016/b978-0-12-761050-4.50010-6 · Cited by 99 · see citing works
Wittrock, M. C. (1980) · Cited by 98 · see citing works
Aase, H., & Sagvolden, T. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2005.01468.x · Cited by 92 · see citing works
Neef, N. A., Marckel, J., Ferreri, S. J., Bicard, D. F., Endo, S., Aman, M. G., Miller, K. M., Jung, S., Nist, L., & Armstrong, N. (2005) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2005.146-02 · Cited by 89 · see citing works
Mefford, I. N., & Potter, W. Z. (1989) · Medical Hypotheses · doi:10.1016/0306-9877(89)90164-3 · Cited by 88 · see citing works
Annotation: On Dysfunction and Function in Psychological Theories of Childhood Disorder
Sonuga-Barke, E. J. S. (1994) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1994.tb02296.x · Cited by 88 · see citing works
Self-citationIs it Important That the Mind is in a Body? Inhibition and the Heart
Jennings, J. R. (1992) · Psychophysiology · doi:10.1111/j.1469-8986.1992.tb01710.x · Cited by 86 · see citing works
Effects of methylphenidate on impulsive choice in adult humans
Pietras, C. J., Cherek, D. R., Lane, S. D., Tcheremissine, O. V., & Steinberg, J. L. (2003) · Psychopharmacology · doi:10.1007/s00213-003-1547-2 · Cited by 79 · see citing works
Disorders of Attention and Activity
Taylor, E. A., & Sonuga-Barke, E. J. S. (2008) · doi:10.1002/9781444300895.ch34 · Cited by 74 · see citing works
Self-citationState Regulation and Attention Deficit Hyperactivity Disorder
van der Meere, J. (2005) · Contemporary clinical neuroscience · doi:10.1385/1-59259-891-9:413 · Cited by 71 · see citing works
van der Meere, J., Stemerdink, N., & Gunning, B. (1995) · Perceptual and Motor Skills · doi:10.2466/pms.1995.81.1.259 · Cited by 71 · see citing works
Attention and time estimation in 5- and 8-year-old children: a dual-task procedure
Gautier, T., & Droit‐Volet, S. (2002) · Behavioural Processes · doi:10.1016/s0376-6357(02)00002-5 · Cited by 68 · see citing works
Scime, M., & Norvilitis, J. M. (2006) · Psychology in the Schools · doi:10.1002/pits.20151 · Cited by 66 · see citing works
Attention deficit hyperactivity disorder : from genes to patients
Gozal, D., & Molfese, D. L. (2005) · doi:10.1385/1592598919 · Cited by 60 · see citing works
Van der Meere, J., Marzocchi, G. M., & De Meo, T. (2005) · Developmental Neuropsychology · doi:10.1207/s15326942dn2801_1 · Cited by 59 · see citing works
Bitsakou, P., Psychogiou, L., Thompson, M. J. J., & Sonuga-Barke, E. J. S. (2007) · Journal of Neural Transmission · doi:10.1007/s00702-007-0828-z · Cited by 59 · see citing works
Self-citationvan der Meere, J., & Stemerdink, N. (1999) · Developmental Neuropsychology · doi:10.1207/s15326942dn1602_5 · Cited by 52 · see citing works
Shiels, K., Hawk Jr., L. W., Lysczek, C. L., Tannock, R., Pelham Jr., W. E., Spencer, S. V., Gangloff, B. P., & Waschbusch, D. A. (2008) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-008-9221-0 · Cited by 51 · see citing works
Do Motivational Incentives Reduce the Inhibition Deficit in ADHD?
Shanahan, M. A., Pennington, B. F., & Willcutt, E. W. (2008) · Developmental Neuropsychology · doi:10.1080/87565640701884238 · Cited by 50 · see citing works
Hyperactive Children's Underuse of Learning Time: Correction by Stimulant Treatment
Dalby, J. T., Kinsbourne, M., Swanson, J. M., & Sobol, M. P. (1977) · Child Development · doi:10.1111/j.1467-8624.1977.tb03953.x · Cited by 50 · see citing works
Presentation Rate Effects on Paired Associate Learning by Attention Deficit Disordered Children
Conte, R., Kinsbourne, M., Swanson, J. M., Zirk, H., & Samuels, M. T. (1986) · Child Development · doi:10.1111/j.1467-8624.1986.tb00236.x · Cited by 49 · see citing works
Brookes, K., Xu, X.-H., Anney, R., Franke, B., Zhou, K., Chen, W., Banaschewski, T., Buitelaar, J., Ebstein, R., Eisenberg, J., et al. (2008) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30782 · Cited by 49 · see citing works
Self-citationHyperactive Children's Underuse of Learning Time: Correction by Stimulant Treatment
Dalby, J. T., Kinsbourne, M., Swanson, J. M., & Sobol, M. P. (1977) · Child Development · doi:10.2307/1128506 · Cited by 47 · see citing works
Attentional distraction and time perception in children
Gautier, T., & Droit‐Volet, S. (2002) · International Journal of Psychology · doi:10.1080/00207590143000324 · Cited by 46 · see citing works
Bitsakou, P., Antrop, I., Wiersema, J. R., & Sonuga-Barke, E. J. S. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.06.031 · Cited by 45 · see citing works
Self-citationObservations of Hyperactive Behaviour During Vigilance
Alberts, E., & van der Meere, J. (1992) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1992.tb00955.x · Cited by 44 · see citing works
Visual Behaviour of ADHD Children During an Attention Test: An Almost Forgotten Variable
Börger, N. A., & van der Meere, J. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00637 · Cited by 44 · see citing works
Presentation Rate Effects on Paired Associate Learning by Attention Deficit Disordered Children
Conte, R., Kinsbourne, M., Swanson, J. M., et al. (1986) · Child Development · doi:10.2307/1130345 · Cited by 43 · see citing works
A COMPUTERIZED TEST OF SELF‐CONTROL PREDICTS CLASSROOM BEHAVIOR
Hoerger, M. L., & Mace, F. C. (2006) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2006.171-04 · Cited by 41 · see citing works
Sonuga‐Barke, E. J. S., Houwer, J. D., Ruiter, K. D., Ajzenstzen, M., & Holland, S. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00219.x · Cited by 41 · see citing works
Self-citationGenetic heterogeneity in ADHD: DAT1 gene only affects probands without CD
Zhou, K., Chen, W., Buitelaar, J. K., Banaschewski, T., Oades, R. D., Franke, B., Sonuga-Barke, E. J. S., Ebstein, R. P., Eisenberg, J., Gill, M., et al. (2007) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30644 · Cited by 40 · see citing works
Self-citationWiersema, J. R., van der Meere, J. J., & Roeyers, H. (2005) · Journal of Inherited Metabolic Disease · doi:10.1007/s10545-005-0110-1 · Cited by 37 · see citing works
Self-citationArousal-state modulation in children with AD/HD
Benikos, N., & Johnstone, S. J. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.09.026 · Cited by 34 · see citing works
Recent Trends and Developments
Wong, K.-S. D. (2011) · doi:10.1002/9781118121115.ch9 · Cited by 30 · see citing works
Joyce, B. M., Glaser, P., & Gerhardt, G. A. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0550-9 · Cited by 29 · see citing works
A Vigilance Study of ADHD and Control Children: Event Rate and Extra-Task Stimulation
Leung, J., Leung, P. W. L., & Tang, C. S. (2000) · Journal of Developmental and Physical Disabilities · doi:10.1023/a:1009409720485 · Cited by 28 · see citing works
Attention Deficit Hyperactivity Disorder and Substance Use Disorders
Szobot, C. M., & Bukstein, O. G. (2008) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2007.11.003 · Cited by 26 · see citing works
Molecular Genetics in Child Psychiatry
Stringaris, A. K., & Asherson, P. J. (2008) · KARGER eBooks · doi:10.1159/000118525 · Cited by 22 · see citing works
Response Inhibition in Children With Conduct Disorder and Borderline Intellectual Functioning
van der Meer, D.-J., & van der Meere, J. (2004) · Child Neuropsychology · doi:10.1080/09297040409609809 · Cited by 22 · see citing works
Rutter’s Child & Adolescent Psychiatry
Yule, W., & Smith, P. A. (2008) · Blackwell publishing · Cited by 16 · see citing works
Motor inhibition in very low birthweight children associated with ADHD
Potgieter, S., Börger, N. A., Meere, V. D. J., & Cock, P. A. J. G. D. (2000) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Banaschewski, T., Sergeant, J. A., Sonuga-Barke, E. J. S., Coghill, D., Döpfner, M., Rohde, L., et al. (in press). Attention-deficit hyperactivity disorder (ADHD) and hyperkinetic disorder (HKD). London: Oxford.
- Damasio, A. R. (1994). Decartes error. Emotion, reason, and the human brain. New York: Avon Books.
- Shiels, K., Hawk, L.W., Jr., Reynolds, B., Mazzullo, R., Rhodes, J., Pelham, W.E., Jr., et al. (in press). The effects of methylphenidate on discounting of delayed rewards in ADHD. Experimental and Clinical Psychopharmacology.
Cited by
Sorted by citations
Sonuga-Barke, E., Bitsakou, P., & Thompson, M. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2009.12.018 · Cited by 504 · see citing works
Self-citationPlichta, M. M., & Scheres, A. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.012 · Cited by 424 · see citing works
Rubia, K. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00100 · Cited by 384 · see citing works
“…heterogeneity in cognitive impairments, with some patients not showing impairments or only in some cognitive domains, which may be underpinned by different pathophysiological pathways (Sonuga-Barke, 2003; Nigg et al., 2005; Sonuga-Barke et al., 2010). fMRI STUDIES OF COGNITIVE FUNCTIONS”
BackgroundInfluentialSjöwall, D., Roth, L., Lindqvist, S., & Thorell, L. B. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12006 · Cited by 359 · see citing works
Reaction Time Variability in ADHD: A Review
Tamm, L., Narad, M. E., Antonini, T. N., O'Brien, K. M., Hawk, L. W., & Epstein, J. N. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0138-5 · Cited by 324 · see citing works
Sonuga‐Barke, E. J. S., & Halperin, J. M. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02195.x · Cited by 320 · see citing works
Self-citationEpstein, J. N., Langberg, J. M., Rosen, P. J., Graham, A., Narad, M. E., Antonini, T. N., Brinkman, W. B., Froehlich, T., Simon, J. O., & Altaye, M. (2011) · Neuropsychology · doi:10.1037/a0022155 · Cited by 233 · see citing works
The effects of background white noise on memory performance in inattentive school children
Söderlund, G. B. W., Sikström, S., Loftesnes, J. M., & Sonuga-Barke, E. J. S. (2010) · Behavioral and Brain Functions · doi:10.1186/1744-9081-6-55 · Cited by 175 · see citing works
Self-citationJackson, J. N. S., & MacKillop, J. (2016) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.01.007 · Cited by 167 · see citing works
“Theoretically, steep delay discounting is considered a hallmark deficit of ADHD (19-21), akin to deficits in response inhibition and sustained attention(22; 23).”
BackgroundSonuga-Barke, E. J. S., & Fairchild, G. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.004 · Cited by 124 · see citing works
Self-citationMetin, B., Roeyers, H., Wiersema, J. R., van der Meere, J., & Sonuga-Barke, E. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.08.023 · Cited by 121 · see citing works
Self-citationAdaptive effort investment in cognitive and physical tasks: A neurocomputational model
Verguts, T., Vassena, E., & Silvetti, M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00057 · Cited by 118 · see citing works
Metin, B., Roeyers, H., Wiersema, J. R., van der Meere, J. J., Thompson, M. J. J., & Sonuga-Barke, E. J. S. (2013) · Neuropsychology · doi:10.1037/a0031533 · Cited by 103 · see citing works
Self-citationAltered spontaneous low frequency brain activity in Attention Deficit/Hyperactivity Disorder
Helps, S. K., Broyd, S. J., James, C. J., Karl, A., Chen, W., & Sonuga-Barke, E. J. S. (2010) · Brain Research · doi:10.1016/j.brainres.2010.01.057 · Cited by 97 · see citing works
Self-citationGeissler, J. M., Romanos, M., Hegerl, U., & Hensch, T. (2014) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-014-0144-z · Cited by 96 · see citing works
Computer-based Cognitive Training for ADHD
Sonuga-Barke, E., Brandeis, D., Holtmann, M., & Cortese, S. (2014) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2014.05.009 · Cited by 92 · see citing works
Self-citationImeraj, L., Sonuga-Barke, E. J. S., Antrop, I., Roeyers, H., Wiersema, R., Bal, S., & Deboutte, D. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.04.007 · Cited by 84 · see citing works
Self-citationMechanisms of impulsive choice: II. Time-based interventions to improve self-control
Smith, A. P., Marshall, A. T., & Kirkpatrick, K. (2015) · Behavioural Processes · doi:10.1016/j.beproc.2014.10.010 · Cited by 79 · see citing works
Epstein, J. N., Brinkman, W. B., Froehlich, T., Langberg, J. M., Narad, M. E., Antonini, T. N., Shiels, K., Simon, J. O., & Altaye, M. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.243 · Cited by 78 · see citing works
Metin, B., Krebs, R. M., Wiersema, J. R., Verguts, T., Gasthuys, R., van der Meere, J. J., Achten, E., Roeyers, H., & Sonuga-Barke, E. J. S. (2014) · Journal of Abnormal Psychology · doi:10.1037/abn0000013 · Cited by 78 · see citing works
Self-citationDeficits in Cognitive Control, Timing and Reward Sensitivity Appear to be Dissociable in ADHD
de Zeeuw, P., Weusten, J., van Dijk, S., van Belle, J., & Durston, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051416 · Cited by 71 · see citing works
Using the Diffusion Model to Explain Cognitive Deficits in Attention Deficit Hyperactivity Disorder
Huang‐Pollock, C. L., Ratcliff, R., McKoon, G., Shapiro, Z. R., Weigard, A., & Galloway-Long, H. (2016) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-016-0151-y · Cited by 65 · see citing works
Brain γ‐aminobutyric acid: a neglected role in impulsivity
Hayes, D. J., Jupp, B., Sawiak, S. J., Merlo, E., Caprioli, D., & Dalley, J. W. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12485 · Cited by 63 · see citing works
Sjöwall, D., & Thorell, L. B. (2014) · Developmental Neuropsychology · doi:10.1080/87565641.2014.886691 · Cited by 56 · see citing works
Garcia, A., & Kirkpatrick, K. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.10.017 · Cited by 56 · see citing works
Lin, H.-Y., Hwang-Gu, S.-L., & Gau, S. (2015) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12393 · Cited by 57 · see citing works
Links between psychopathological symptoms and disordered eating behaviors in overweight/obese youths
Pauli‐Pott, U., Becker, K., Albayrak, Ö., Hebebrand, J., & Pott, W. (2012) · International Journal of Eating Disorders · doi:10.1002/eat.22055 · Cited by 53 · see citing works
The Impact of Financial Reward Contingencies on Cognitive Function Profiles in Adult ADHD
Marx, I., Höpcke, C., Berger, C., Wandschneider, R., & Herpertz, S. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067002 · Cited by 49 · see citing works
Sonuga-Barke, E. J. S., Kumsta, R., Schlotz, W., Lasky-Su, J. A., Marco, R., Miranda, A., Mulas, F., Oades, R. D., Banaschewski, T., Mueller, U., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.01.040 · Cited by 48 · see citing works
Self-citationTesting the relation between ADHD and hyperfocus experiences
Groen, Y., Priegnitz, U., Fuermaier, A. B. M., Tucha, L., Tucha, O. M., Aschenbrenner, S., Weisbrod, M., & Pimenta, M. G. (2020) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2020.103789 · Cited by 48 · see citing works
Stevens, M. C. G., Pearlson, G. D., Calhoun, V. D., & Bessette, K. L. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.09.005 · Cited by 47 · see citing works
Adults with Attention-Deficit/Hyperactivity Disorder ? A Brain Magnetic Resonance Spectroscopy Study
Dramsdahl, M., Ersland, L., Plessen, K. J., Haavik, J., Hugdahl, K., & Specht, K. (2011) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00065 · Cited by 43 · see citing works
Interstimulus jitter facilitates response control in children with ADHD
Ryan, M., Martin, R. B., DENCKLA, M. B., Mostofsky, S. H., & Mahone, E. M. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709991305 · Cited by 42 · see citing works
Event-rate effects in the flanker task: ERPs and task performance in children with and without AD/HD
Johnstone, S. J., & Galletta, D. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.07.170 · Cited by 40 · see citing works
Time‐of‐day effects in arousal: disrupted diurnal cortisol profiles in children with ADHD
Imeraj, L., Antrop, I., Roeyers, H., Swanson, J. M., Deschepper, E., Bal, S., & Deboutte, D. (2012) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2012.02526.x · Cited by 39 · see citing works
Self-citationSidlauskaite, J., Sonuga-Barke, E. J. S., Roeyers, H., & Wiersema, J. R. (2015) · Psychological Medicine · doi:10.1017/s0033291715002019 · Cited by 42 · see citing works
Self-citationExecutive Function, Theory of Mind, and Adaptive Behavior
Coulacoglou, C., & Saklofske, D. H. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802219-1.00005-5 · Cited by 40 · see citing works
The variability of EEG functional connectivity of young ADHD subjects in different resting states
Alba, G., Pereda, E., Mañas, S., Méndez, L. D., Duque, M. R., González, A., & González, J. J. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.09.134 · Cited by 40 · see citing works
Maier, S. J., Szalkowski, A., Kamphausen, S. B., Feige, B., Perlov, E., Kalisch, R., Jacob, G. A., Philipsen, A., Tüscher, O., & van Elst, L. T. (2013) · Psychological Medicine · doi:10.1017/s0033291713000469 · Cited by 35 · see citing works
Metin, B., Wiersema, J. R., Verguts, T., Gasthuys, R., van der Meere, J. J., Roeyers, H., & Sonuga-Barke, E. J. S. (2014) · Child Neuropsychology · doi:10.1080/09297049.2014.986082 · Cited by 36 · see citing works
Self-citationXie, J., Xu, G., Luo, A., Li, M., Zhang, S., Han, C., & Yan, W. (2017) · Sensors · doi:10.3390/s17081873 · Cited by 32 · see citing works
Samyn, V., Roeyers, H., Bijttebier, P., Rosseel, Y., & Wiersema, J. R. (2014) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2014.10.018 · Cited by 32 · see citing works
Self-citationWass, S. V. (2021) · Developmental Review · doi:10.1016/j.dr.2021.100978 · Cited by 34 · see citing works
Ali, J. I., Viczko, J., & Smart, C. M. (2020) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719001061 · Cited by 30 · see citing works
Sibalis, A., Milligan, K., Pun, C., McKeough, T., Schmidt, L. A., & Segalowitz, S. J. (2017) · Journal of Attention Disorders · doi:10.1177/1087054717719535 · Cited by 28 · see citing works
Identifying a distinctive familial frequency band in reaction time fluctuations in ADHD.
Helps, S. K., Broyd, S. J., Bitsakou, P., & Sonuga-Barke, E. J. S. (2011) · Neuropsychology · doi:10.1037/a0024479 · Cited by 27 · see citing works
Self-citationSamyn, V., Wiersema, J. R., Bijttebier, P., & Roeyers, H. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.03.006 · Cited by 26 · see citing works
Self-citationWass, S. V. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.03.029 · Cited by 25 · see citing works
Yu, X., Sonuga-Barke, E. J. S., & Liu, X. (2015) · Journal of Attention Disorders · doi:10.1177/1087054715570390 · Cited by 26 · see citing works
Self-citationBast, N., Boxhoorn, S., Supèr, H., Helfer, B., Polzer, L., Klein, C., Cholemkery, H., & Freitag, C. M. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.04.010 · Cited by 26 · see citing works
Interoceptive awareness in attention deficit hyperactivity disorder
Wiersema, J. R., & Godefroid, E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205221 · Cited by 23 · see citing works
Self-citationFlanker performance in female college students with ADHD: a diffusion model analysis
Merkt, J., Singmann, H., Bodenburg, S., Goossens–Merkt, H., Kappes, A., Wendt, M., & Gawrilow, C. (2013) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-013-0110-1 · Cited by 24 · see citing works
Pope, D. A., Newland, M. C., & Hutsell, B. A. (2015) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.148 · Cited by 23 · see citing works
Cognitive control in adults with attention-deficit/hyperactivity disorder
Dramsdahl, M., Westerhausen, R., Haavik, J., Hugdahl, K., & Plessen, K. J. (2011) · Psychiatry Research · doi:10.1016/j.psychres.2011.04.014 · Cited by 23 · see citing works
Electrophysiological markers of the motivational salience of delay imposition and escape
Broyd, S. J., Richards, H. J., Helps, S. K., Chronaki, G., Bamford, S., & Sonuga-Barke, E. J. S. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.02.003 · Cited by 22 · see citing works
Self-citationIsaksson, J., Allen, M., Nilsson, K. W., & Lindblad, F. (2015) · Acta Paediatrica · doi:10.1111/apa.13056 · Cited by 20 · see citing works
Buyck, I., & Wiersema, J. R. (2014) · Clinical EEG and Neuroscience · doi:10.1177/1550059414553244 · Cited by 20 · see citing works
Self-citationHelfer, B., Boxhoorn, S., Songa, J., Steel, C., Maltezos, S., & Asherson, P. J. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.12.059 · Cited by 19 · see citing works
Ramos‐Quiroga, J. A., Corominas, M., Gloria Palomar, A., Ferrer, R., Valero, S., Montse Corrales, F., Vanesa Richarte, B., & Casas, M. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.03.014 · Cited by 19 · see citing works
Sidlauskaite, J., Dhar, M., Sonuga-Barke, E. J. S., & Wiersema, J. R. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107330 · Cited by 20 · see citing works
Self-citationPerceptual and response-dependent profiles of attention in children with ADHD.
Caspersen, I. D., Petersen, A., Vangkilde, S., Plessen, K. J., & Habekost, T. (2017) · Neuropsychology · doi:10.1037/neu0000375 · Cited by 19 · see citing works
Kostyrka‐Allchorne, K., Wass, S. V., Yusuf, H., Rao, V., Bertini, C., & Sonuga-Barke, E. J. S. (2022) · British Journal of Developmental Psychology · doi:10.1111/bjdp.12432 · Cited by 18 · see citing works
Self-citationState-related electroencephalographic deviances in attention deficit hyperactivity disorder
Buyck, I., & Wiersema, J. R. (2014) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2014.08.003 · Cited by 23 · see citing works
Self-citationEnvironmental Stimulation Does Not Reduce Impulsive Choice in ADHD
Metin, B., Roeyers, H., Wiersema, J. R., van der Meere, J. J., Gasthuys, R., & Sonuga-Barke, E. J. S. (2013) · Journal of Attention Disorders · doi:10.1177/1087054713479667 · Cited by 18 · see citing works
Self-citationColl‐Martín, T., Carretero‐Dios, H., & Lupiáñez, J. (2021) · British Journal of Psychology · doi:10.1111/bjop.12513 · Cited by 15 · see citing works
Changes in Cortisol and in Oxidative/Nitrosative Stress Indicators after ADHD Treatment
Garre-Morata, L., de Haro, T., Villén, R. G., Fernández-López, M. L., Escames, G., Molina‐Carballo, A., & Acuña-Castroviejo, D. (2024) · Antioxidants · doi:10.3390/antiox13010092 · Cited by 17 · see citing works
The Impact of Idle Time in the Classroom
Imeraj, L., Antrop, I., Roeyers, H., Deboutte, D., Deschepper, E., Bal, S., & Sonuga-Barke, E. J. S. (2013) · Journal of Attention Disorders · doi:10.1177/1087054713478464 · Cited by 17 · see citing works
Self-citationWhat Can Dynamic Systems Models of Development Offer to the Study of Developmental Psychopathology?
Mascolo, M. F., van Geert, P. L. C., Steenbeek, H., & Fischer, K. W. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy115 · Cited by 17 · see citing works
Effects of auditory white noise stimulation on sustained attention and response time variability
Egeland, J., Lund, O., Kovalik-Gran, I., Aarlien, A. K., & Söderlund, G. B. W. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1301771 · Cited by 16 · see citing works
Mies, G. W., Moors, P., Sonuga-Barke, E. J. S., der Oord, S. V., Wiersema, J. R., Scheres, A., Lemiere, J., & Danckaerts, M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02769 · Cited by 15 · see citing works
Self-citationChen, D., Jia, T., Cheng, W., Cao, M., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., Desrivières, S., et al. (2021) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2021.11.030 · Cited by 14 · see citing works
Staff, A. I., Oosterlaan, J., der Oord, S. V., van den Hoofdakker, B. J., & Luman, M. (2023) · Journal of Attention Disorders · doi:10.1177/10870547231167522 · Cited by 21 · see citing works
Yu, X., & Sonuga-Barke, E. J. S. (2016) · Journal of Attention Disorders · doi:10.1177/1087054716661231 · Cited by 20 · see citing works
Self-citationAllostasis and metastasis: The yin and yang of childhood self-regulation
Wass, S. V. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000833 · Cited by 13 · see citing works
Cognitive Control Deficits in Children With Subthreshold Attention-Deficit/Hyperactivity Disorder
Chen, C., Li, Z., Liu, X., Pan, Y., & Wu, T. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.835544 · Cited by 14 · see citing works
Soutschek, A., Schwarzkopf, W., Finke, K., Hennig‐Fast, K., Müller, H. J., Riedel, M. J., Möller, H., Sorg, C., & Schubert, T. (2013) · Acta Psychologica · doi:10.1016/j.actpsy.2013.02.013 · Cited by 13 · see citing works
Wass, S. V., Daubney, K., Golan, J., Logan, F., & Kushnerenko, E. V. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.010 · Cited by 13 · see citing works
Patros, C. H. G., Alderson, R. M., Lea, S. E., & Tarle, S. J. (2015) · Child Neuropsychology · doi:10.1080/09297049.2015.1119261 · Cited by 12 · see citing works
Post-error adjustments and ADHD symptoms in adults: The effect of laterality and state regulation
Mohamed, S. M. H., Börger, N. A., Geuze, R. H., & van der Meere, J. J. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.06.006 · Cited by 12 · see citing works
Attention Deficit Hyperactivity Disorder (ADHD)
Miller, C. J. (2018) · Springer eBooks · doi:10.1007/978-3-319-33228-4_218 · Cited by 13 · see citing works
Sonuga-Barke, E. J. S., & Kostyrka‐Allchorne, K. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13710 · Cited by 12 · see citing works
Self-citationDietrich, A., Althaus, M., Hartman, C. A., Buitelaar, J. K., Mindera, R. B., van den Hoofdakker, B. J., & Hoekstra, P. J. (2012) · Biological Psychology · doi:10.1016/j.biopsycho.2012.03.008 · Cited by 11 · see citing works
Autonomic Nervous System Functioning in ADHD
Bellato, A., Wiersema, J. R., & Groom, M. J. (2023) · Autism and child psychopathology series · doi:10.1007/978-3-031-41709-2_3 · Cited by 11 · see citing works
Self-citationDriesen, M., Rijmen, J., Hulsbosch, A., Danckaerts, M., Wiersema, J. R., & der Oord, S. V. (2023) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2023.102214 · Cited by 10 · see citing works
Self-citationReward Processing Deficits During a Spatial Attention Task in Patients With ADHD: An fMRI Study
Metin, B., Tas, Z. C., Çebi, M., Büyükaslan, A., Soysal, A. Ş., Hatıloglu, D., & Tarhan, N. (2017) · Journal of Attention Disorders · doi:10.1177/1087054717703188 · Cited by 10 · see citing works
Drechsler, R., Rizzo, P., & Steinhausen, H. (2010) · Behavioral and Brain Functions · doi:10.1186/1744-9081-6-31 · Cited by 10 · see citing works
State regulation in adults scoring high versus low on ADHD symptomatology: A pupillometry study.
Drescher, L. H., Boehler, C. N., & Wiersema, J. R. (2021) · Neuropsychology · doi:10.1037/neu0000738 · Cited by 9 · see citing works
Self-citationMohamed, S. M. H., Börger, N. A., Geuze, R. H., & van der Meere, J. J. (2016) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2016.1167174 · Cited by 8 · see citing works
Early Gamma-Band Activity During Interference Predicts Working Memory Distractibility in ADHD
Prehn‐Kristensen, A., Wiesner, C. D., & Baving, L. (2012) · Journal of Attention Disorders · doi:10.1177/1087054712459887 · Cited by 8 · see citing works
Lauth-Lebens, M., & Lauth, G. W. (2020) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000284 · Cited by 7 · see citing works
Hypoarousal non-stationary ADHD biomarker based on echo-state networksPreprint
Ibáñez-Soria, D., Soria‐Frisch, A., García‐Ojalvo, J., Picardo, J., García‐Banda, G., Servera, M., & Ruffini, G. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/271858 · Cited by 7 · see citing works
The experience of effort in ADHD: a scoping review
Wagner, D., Mason, S. G., & Eastwood, J. D. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1349440 · Cited by 8 · see citing works
Contextual influence of highly valued rewards and penalties on delay decisions in children with ADHD
Marx, I., Pieper, J., Berger, C., Häßler, F., & Herpertz, S. C. (2011) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2011.05.005 · Cited by 6 · see citing works
Mokobane, M., Pillay, B. J., Thobejane, N., & Meyer, A. (2019) · South African Journal of Psychology · doi:10.1177/0081246319876145 · Cited by 5 · see citing works
Rijmen, J., & Wiersema, J. R. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108961 · Cited by 6 · see citing works
Self-citationChan, W. W. Y., Shum, K., Downs, J., & Sonuga-Barke, E. (2024) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/jcpp.14103 · Cited by 5 · see citing works
Self-citationPreferential Choice to Exert Cognitive Effort in Children with ADHD: a Diffusion Modelling Account
Xu, Y., & Huang‐Pollock, C. L. (2023) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-023-01080-x · Cited by 4 · see citing works
Self-Reported ADHD Symptoms and Interhemispheric Interaction in Adults: A Dimensional Approach
Mohamed, S. M. H., Börger, N. A., Geuze, R. H., & van der Meere, J. J. (2015) · Behavioural Neurology · doi:10.1155/2015/254868 · Cited by 5 · see citing works
Heubeck, B. G., Welvaert, M., & Richardson, A. (2023) · British Journal of Clinical Psychology · doi:10.1111/bjc.12413 · Cited by 4 · see citing works
Cutting Corners: Neuropsychological Research into the Energetics of ADHD
Egeland, J. (2012) · InTech eBooks · doi:10.5772/30006 · Cited by 4 · see citing works
- Authors
- Sonuga-Barke, E. J. S., Wiersema, J. R., van der Meere, J. J., & Roeyers, H.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Sonuga-Barke, Edmund J. S.
- Venue
- Neuropsychology Review
- Published
- 2009-09-15
- Volume
- 20
- Issue
- 1
- Pages
- 86-102
- ISSN
- 1040-7308 (ISSN-L)
- 1573-6660
- OpenAlex
- W2154741675
- Semantic Scholar
- 7c9cd3b4ec28aa5e0532a9c053845ecfbf2401e5
- Cited by
- 142
- References
- 135
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 4 · 2023: 8 · 2022: 5 · 2021: 10 · 2020: 6 · 2019: 6 · 2018: 7 · 2017: 8 · 2016: 9 · 2015: 12 · 2014: 13 · 2013: 11 · 2012: 18
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neuropsychology Review (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- ePrints Soton (University of Southampton) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- attention deficit hyperactivity disorder, delay aversion, impulsivity, delay discounting
- MeSH terms
- Attention Deficit Disorder with Hyperactivity, Cognition Disorders, Environment, Humans, Models, Psychological, Executive Function
About these checks
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review