Frontostriatal maturation predicts cognitive control failure to appetitive cues in adolescents
Open accessAbstract
Adolescent risk-taking is a public health issue that increases the odds of poor lifetime outcomes. One factor thought to influence adolescents' propensity for risk-taking is an enhanced sensitivity to appetitive cues, relative to an immature capacity to exert sufficient cognitive control. We tested this hypothesis by characterizing interactions among ventral striatal, dorsal striatal, and prefrontal cortical regions with varying appetitive load using fMRI scanning. Child, teen, and adult participants performed a go/no-go task with appetitive (happy faces) and neutral cues (calm faces). Impulse control to neutral cues showed linear improvement with age, whereas teens showed a nonlinear reduction in impulse control to appetitive cues. This performance decrement in teens was paralleled by enhanced activity in the ventral striatum. Prefrontal cortical recruitment correlated with overall accuracy and showed a linear response with age for no-go versus go trials. Connectivity analyses identified a ventral frontostriatal circuit including the inferior frontal gyrus and dorsal striatum during no-go versus go trials. Examining recruitment developmentally showed that teens had greater between-subject ventral-dorsal striatal coactivation relative to children and adults for happy no-go versus go trials. These findings implicate exaggerated ventral striatal representation of appetitive cues in adolescents relative to an intermediary cognitive control response. Connectivity and coactivity data suggest these systems communicate at the level of the dorsal striatum differentially across development. Biased responding in this system is one possible mechanism underlying heightened risk-taking during adolescence.
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Claims the paper makes
8 of 49 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Circuits that integrate motivation and cognitive control, such as ventrolateral frontostriatal networks, are still less mature structurally and functionally in adolescence.
“In contrast, brain circuitry important for integrating motivational and cognitive control processes including ventrolateral frontostriatal networks (Balleine, Delgado, & Hikosaka, 2007; Delgado, Stenger, & Fiez, 2004; Rubia, et al., 2006) remain less structurally and functionally mature during the adolescent years (Giedd, et al., 1999; Luna, et al., 2001).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Balleine, Delgado, & Hikosaka, 2007 source
- cites Delgado, Stenger, & Fiez, 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rubia, et al., 2006 source
The Discussion reports greater task-related frontostriatal activation in adults than adolescents, supporting functional maturation of these networks during adolescence. Our copy does not establish that these networks integrate motivation with cognitive control, and this study does not directly measure their structural maturation; the citing sentence assigns the maturation claim to other references as well. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The developmental trajectories of cognitive and affective processes interact to influence the rise in risk-taking during adolescence.
“Rather, this work suggests that the maturation trajectories of both cognitive and affective processes interact to influence the influx in risk-taking during adolescence (Casey, Getz, et al., 2008; Steinberg, 2008).”
Quote in the paperSubstantial claim1 of 2 sources checked- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Premisecitation
Adolescents show enhanced ventral striatal activity while preparing for a rewarded trial compared with adults.
“Relative to adults, adolescents show enhanced ventral striatal activity while preparing for a trial for which reward is at stake (Geier, et al., 2010), suggesting upregulation of motivated behavior at the level of ventral striatum in adolescents.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Geier, et al., 2010 source
- Findingown data
The response main effect revealed regions that varied with cognitive control demands, among them the right inferior frontal gyrus.
“The main effect of response map identified candidate regions differentially engaged as a function of cognitive control demands including the right inferior frontal gyrus (x = 32, y = 23, z = 3).”
Quote in the paperNot a substantial claim - Findingown data
Signal-to-noise ratios were comparable across age groups in the ventral striatum, dorsal striatum, right inferior frontal gyrus, and whole brain.
“SNR values did not systematically differ across age groups in any of these regions or in the whole brain (one way ANOVA (age: child, teen, adult), ROIs all p's > 0.2; whole brain p > 0.3).”
Quote in the paperNot a substantial claim
- Findingown data
For happy nogo compared with go trials, adolescents showed stronger between-subject coactivation of ventral and dorsal striatum than children or adults.
“Examining recruitment developmentally showed that teens had greater between-subjects ventral-dorsal striatal coactivation relative to children and adults for happy nogo versus go trials.”
Quote in the paperSubstantial claim - Findingown data
Prefrontal cortical recruitment increased linearly with age when comparing nogo with go trials.
“Prefrontal cortical recruitment correlated with overall accuracy and showed a linear response with age for nogo versus go trials.”
Quote in the paperSubstantial claim - Findingown data
Adolescents showed a larger increase in false alarms for happy versus calm trials than children did.
“Teens generated significantly more false alarms for happy relative to calm trials compared to children (t(35) = 2.04, p = 0.049)”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Findingown data
Adolescents made more false alarms on happy trials than on calm trials.
“the false alarms committed by adolescents were significantly loaded in the happy condition (happy versus calm t(18) = 2.87, p = 0.01)”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Findingown data
False alarm rates differed by age group.
“For false alarm rates, we observed a main effect of age (F(2,59) = 12.57, p < 0.001)”
Quote in the paperSubstantial claim - Findingown data
Participants missed more often on calm-face trials than on happy-face trials.
“For miss rates, results of a 2 (emotion: happy, calm) by 3 (age: child, teen, adult) mixed ANOVA yielded a main effect of emotion (F(1,59) = 15.44, p < 0.001), with greater overall miss rates for calm (5.0% +/− 0.6) relative to happy faces (2.6% +/− 0.4).”
Quote in the paperNot a substantial claim - Findingown data
Adolescents showed a larger increase in false alarms for happy versus calm trials than adults did.
“and adults (t(42) = 2.62, p = 0.012).”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Findingown data
Emotion condition did not have a main effect on false alarm rates.
“and no main effect of emotion (F(1,59) = 1.18, p > 0.2; Figure 2, black line).”
Quote in the paperNot a substantial claim - Findingown data
Children made similar numbers of false alarms on happy and calm trials.
“whereas the false alarms committed by children and adults were equally distributed across happy and calm expression types (happy versus calm; children p > 0.5, adults p > 0.9).”
Quote in the paperNot a substantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Findingown data
The difference in miss rates between happy and calm trials did not significantly vary between children, teens, and adults.
“This was further supported by nonsignificant results in independent samples t-tests evaluating differential miss rates for happy relative to calm trials in children versus teens, teens versus adults, and children versus adults (all p's > 0.5).”
Quote in the paperNot a substantial claim - Findingown data
False alarm rates showed an interaction between age group and emotion condition.
“and an age by emotion interaction (F(2,59) = 3.59, p = 0.034; children: calm 28.85% +/− 4.4, happy 26.71 +/− 4.2; teens: calm 22.1, +/− 3.4, happy 28.4 +/− 4.3, adults: calm 9.3% +/− 1.5, happy 8.9 +/− 1.7)”
Quote in the paperSubstantial claim - Findingown data
Impulse control to neutral cues improved linearly with age across child, teen, and adult participants.
“Impulse control to neutral cues showed linear improvement with age, whereas teens showed a nonlinear reduction in impulse control to appetitive cues.”
Quote in the paperNot a substantial claim - Findingown data
Connectivity analyses revealed a ventral frontostriatal circuit that included the inferior frontal gyrus and dorsal striatum for nogo compared with go trials.
“Connectivity analyses identified a ventral frontostriatal circuit including the inferior frontal gyrus and dorsal striatum during nogo versus go trials.”
Quote in the paperNot a substantial claim - Findingown data
For calm trials, false alarm rates decreased linearly as age increased.
“Finally, for calm trials, false alarms demonstrated a linear pattern of improvement with increasing age (linear term F(1,59) = 22.3, p < 0.001; quadratic term p > 0.4)”
Quote in the paperNot a substantial claim - Findingown data
The age main effect showed developmentally modulated responses, including a ventral striatum cluster.
“Responses modulated by development were identified in the main effect of age map, including a cluster in the ventral striatum (x = −4, y = 11, z = −9).”
Quote in the paperNot a substantial claim - Findingown data
Adults made similar numbers of false alarms on happy and calm trials.
“whereas the false alarms committed by children and adults were equally distributed across happy and calm expression types (happy versus calm; children p > 0.5, adults p > 0.9).”
Quote in the paperNot a substantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Findingown data
For happy trials, an inverted-U quadratic function explained a significant amount of variance in false alarm rates across age.
“whereas for the happy trials, quadratic (inverted U) and linear contrasts explained a significant portion of the variance in responding (quadratic term F(1,59) = 6.52, p = 0.013; linear F(1,59) = 14.31, p < 0.001).”
Quote in the paperSubstantial claim - Findingown data
The performance decrement in teens was accompanied by enhanced activity in the ventral striatum.
“This performance decrement in teens was paralleled by enhanced activity in the ventral striatum.”
Quote in the paperSubstantial claim - Findingown data
During adolescence, the ability to withhold responses to appetitive cues dropped in a nonlinear pattern compared with the linear age trend.
“Impulse control to neutral cues showed linear improvement with age, whereas teens showed a nonlinear reduction in impulse control to appetitive cues.”
Quote in the paperSubstantial claim - Findingown data
Prefrontal cortical recruitment correlated with overall accuracy.
“Prefrontal cortical recruitment correlated with overall accuracy and showed a linear response with age for nogo versus go trials.”
Quote in the paperNot a substantial claim - Findingown data
The right inferior frontal gyrus responded more strongly to nogo than to go trials.
“The main effect of response map (nogo versus go) identified regions differentially engaged as a function of cognitive control demands including the right inferior frontal gyrus (IFG; x = 32, y = 23, z = 3), showing significantly greater responses to nogo relative to go trials (p's < 0.05, whole brain corrected; Figure 4A).”
Quote in the paperNot a substantial claim - Findingown data
The correlation between right inferior frontal gyrus response and performance was replicated when trial numbers were matched.
“which was replicated in the control analysis with a matched number of trials (r(61) = 0.28, p = 0.026).”
Quote in the paperNot a substantial claim - Findingown data
Children did not show reliable coactivation between the dorsal striatum and right inferior frontal gyrus on happy nogo versus go trials.
“whereas coactivation between the dorsal striatum and right IFG was less reliable (p > 0.12).”
Quote in the paperSubstantial claim - Findingown data
Reaction times showed no significant interaction between age group and emotion condition.
“the test for an interaction between age and emotion in reaction times was not significant (F(2,59) = 1.78, p > 0.15).”
Quote in the paperSubstantial claim - Findingown data
Adolescents showed significant coactivation between the dorsal striatum and right inferior frontal gyrus on happy nogo versus go trials.
“as well as the dorsal striatum and right IFG (r(18) = 0.54, p = 0.016).”
Quote in the paperSubstantial claim - Findingown data
A ventral striatum cluster showed modulation by age.
“Responses modulated by development were identified in the main effect of age map, including a cluster in the ventral striatum (x = −4, y = 11, z = −9; p < 0.05 svc; Figure 3A).”
Quote in the paperSubstantial claim - Findingown data
The stronger ventral striatum response in adolescents remained significant after controlling for task performance and after matching trial numbers.
“The nonlinear enhancement in recruitment in teens remained significant when controlling for differences in task performance (false alarm rate; F(2,59) = 6.77, p < 0.002) and in the control analysis with matched numbers of trials (F(2,59) = 7.80, p = 0.007).”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Findingown data
Adolescents showed significant coactivation between the ventral and dorsal striatum on happy nogo versus go trials.
“Teens showed significant coactivation between the ventral and dorsal striatum (r(18) = 0.57, p = 0.012)”
Quote in the paperSubstantial claim - Findingown data
Adults showed significant coactivation between the dorsal striatum and right inferior frontal gyrus on happy nogo versus go trials.
“Conversely, adults showed significant coactivation between the dorsal striatum and right IFG (r(24) = 0.49, p = 0.013)”
Quote in the paperSubstantial claim - Findingown data
For happy faces, ventral striatum response across age was better described by an inverted-U quadratic function than by a linear function.
“Analysis of the best-fitting function that represents responding across ages to happy faces showed that a quadratic (inverted U) function explained a significant portion of variance in response to happy faces (F(1,59) = 10.05, p < 0.003) whereas a linear function did not (F(1,59) = 0.54, p > 0.4).”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Findingown data
Right inferior frontal gyrus response magnitude on correct nogo versus go trials correlated with overall performance as measured by false alarm rate.
“This relationship was demonstrated by a significant correlation between response magnitude to correct nogo vs. go trials and overall performance (as measured by false alarm rate; r(61) = 0.39, p = 0.002; see Figure 4C)”
Quote in the paperSubstantial claim - Findingown data
The faster reaction time to happy versus calm faces was found in each of the three age groups.
“This effect was evident in all three age groups when tested separately (p's =/< 0.01).”
Quote in the paperNot a substantial claim - Findingown data
Adults did not show significant coactivation between the ventral and dorsal striatum on happy nogo versus go trials.
“but not between the ventral and dorsal striatum (p > 0.8).”
Quote in the paperSubstantial claim - Findingown data
After controlling for performance, the interaction between task and age in the right inferior frontal gyrus was no longer significant.
“When controlling for performance effects, the task x age interaction in the right IFG was no longer significant (p > 0.4)”
Quote in the paperSubstantial claim - Findingown data
For happy trials, a linear function also explained a significant amount of variance in false alarm rates across age.
“whereas for the happy trials, quadratic (inverted U) and linear contrasts explained a significant portion of the variance in responding (quadratic term F(1,59) = 6.52, p = 0.013; linear F(1,59) = 14.31, p < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
Adolescents showed greater ventral striatum engagement than children and adults in response to happy faces.
“Post-hoc analysis of the age main effect showed that adolescents engaged the ventral striatum significantly more than children and adults to happy faces (p's =/< 0.01; Figure 3B)”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Findingown data
Happy faces produced faster reaction times than calm faces overall.
“Reaction time data suggest that happy faces facilitate speeded responses relative to calm faces (mean speeding to happy relative to calm +/− standard deviation: 53.5 ms +/− 68 ms; F(1,59) = 36.09, p < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
A right dorsal striatum cluster showed greater functional connectivity with the right inferior frontal gyrus on correct nogo versus go trials.
“The PPI analysis yielded a single cluster of voxels showing significantly greater functional connectivity with the right IFG for correct nogo trials relative to go trials. This cluster extends from near the right IFG seed region medially and posteriorly into the right dorsal striatum (x = 9, y = 13, z = 6, see Figure 5).”
Quote in the paperSubstantial claim - Findingown data
The right inferior frontal gyrus nogo-versus-go response decreased linearly with increasing age.
“Further, the right IFG ROI showed a linear decrease in response magnitude with increasing age to nogo trials relative to go trials (r(61) = −0.28, p = 0.026; Figure 4B).”
Quote in the paperSubstantial claim - Findingown data
Children showed marginal coactivation between the ventral and dorsal striatum on happy nogo versus go trials.
“Children showed marginal coactivation between the ventral and dorsal striatum during happy nogo versus go trials (r(17) = 0.41, p = 0.09)”
Quote in the paperNot a substantial claim - Interpretationreasoning
A bias in this system may be one mechanism that contributes to increased risk-taking in adolescence.
“Biased responding in this system is one possible mechanism underlying heightened risk-taking during adolescence.”
Quote in the paperSubstantial claim - Premisecitation
In children and adolescents, neutral faces may be perceived as negative.
“Calm faces (mildly pleasant versions of neutral faces) were used because prior work has indicated that neutral faces can be construed as negative in developmental populations (Gross & Ballif, 1991; Herba & Phillips, 2004; Thomas, et al., 2001).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
In their interaction, weaker control-system downregulation allows ventral striatum signals to drive behavior more strongly, producing approach motivation that is not adequately checked.
“When these systems interact, signaling of the ventral striatum with less downregulation by control systems exerts a stronger influence on subsequent behavior, effectively signaling enhanced approach motivation left unchecked by control systems.”
Quote in the paperSubstantial claim - Premisecitation
During adolescence, dopamine-rich regions that encode the appetitive value of rewards, including the ventral striatum, exhibit strong signaling that may reflect earlier maturation.
“Specifically, dopamine-rich brain regions representing the appetitive value of potential rewards such as the ventral striatum (Carlezon & Wise, 1996; Pontieri, Tanda, Orzi, & DiChiara, 1996; Wise, 2004; Galvan, et al., 2005; Haber & Knutson, 2009; Spicer, et al., 2007) show strong signaling during adolescence which may be indicative of earlier maturation (Galvan, et al., 2006; Geier, Terwilliger,”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The connectivity and coactivity results indicate that these systems interact at the dorsal striatum in a developmentally different manner.
“Connectivity and coactivity data suggest these systems communicate at the level of the dorsal striatum differentially across development.”
Quote in the paperSubstantial claim - Interpretationown data
Approach motivation in adolescence may be supported by strong subcortical signaling from the ventral striatum.
“This approach motivation may be supported by strong subcortical signaling of the ventral striatum.”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Premisecitation
The dorsal striatum is a key convergence point for valuation signals from the ventral striatum and for cognitive control signals from regions including the prefrontal cortex.
“By tracking anatomical projection fields, work by Haber and colleagues (Haber, et al., 2006) has implicated the dorsal striatum as a key convergence point for valuation-relevant signaling from the ventral striatum, and signals from regions of the brain important for cognitive control, including the prefrontal cortex (see also Haber & Knutson, 2009).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Haber, et al., 2006 source
- cites Haber & Knutson, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
People who made more false alarms tended to show greater right inferior frontal gyrus recruitment on correct nogo trials.
“Thus, individuals more susceptible to false alarms tend to recruit the right IFG more to the nogo trials for which they successfully suppressed a behavioral response.”
Quote in the paperSubstantial claim - Interpretationown data
There is growing evidence, including the current findings, that biased motivational drives contribute to adolescent behavior at both behavioral and neurobiological levels.
“Although immature cognitive control capacity has often been considered a sufficient explanation for adolescents' influx in risky behavior, there is a growing body of evidence including the current findings implicating biased motivational drives in adolescence, both at the behavioral and neurobiological level.”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Interpretationown data
The findings support a general role for frontostriatal circuitry in shaping goal-oriented actions.
“These findings support a general role for this circuitry in the shaping of goal-oriented actions.”
Quote in the paperSubstantial claim - Interpretationcitation
Adolescent risk-taking is not merely a result of changes in independence or societal treatment.
“Laboratory demonstrations of biased approach motivation in adolescents (see also Figner, Mackinlay, Wilkening, & Weber, 2009) bolster the conclusion that adolescent risk-taking behavior is not simply a function of changes in independence or societal treatment (e.g., Epstein, 2007, see Dahl, 2004 for further discussion).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Figner, Mackinlay, Wilkening, & Weber, 2009 source
- cites Epstein, 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Dahl, 2004 source
- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Interpretationown data
Performance was a stronger predictor of right inferior frontal gyrus activity than age was.
“indicating performance was a more robust predictor of activity in the right IFG than age.”
Quote in the paperSubstantial claim - Interpretationown data
Adolescents showed a distinct error pattern compared with children and adults, marked by reduced ability to suppress approach behavior toward a salient appetitive cue.
“We found that teens demonstrated a unique pattern of errors relative to both children and adults, characterized by a reduction in the capacity to suppress approach behavior toward a salient, appetitive cue.”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
- Interpretationreasoning
Control failures in adolescence, some leading to risky behavior, may result from a prefrontal regulatory system that is relatively inexperienced and not functionally mature.
“When placed in contexts in which one must regulate their own behavior, control failures – some resulting in risky behavior – may be a product of a prefrontal regulatory system that is relatively inexperienced and thus not functionally mature.”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Interpretationown data
Striatocortical responses show greater functional organization in adolescents and adults than in children.
“Though indirect, these findings support the notion that striatocortical responses show a relatively greater degree of functional organization in teens and adults relative to children.”
Quote in the paperSubstantial claim - Premisecitation
Reward sensitivity follows an inverted-U pattern, peaking around ages 14 to 16 and then declining.
“Recently, Cauffman and colleagues (2010) used a series of decision making tasks with varying reward load and demonstrated that reward sensitivity shows an inverse U shaped function, rising to peak from 14–16 years of age and then declining.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cauffman and colleagues (2010)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
The behavioral pattern fits theories that adolescents are biased toward risky behavior in order to approach potential rewards.
“This behavioral profile is consistent with theoretical accounts of adolescents as biased to engage in risky behavior at the service of approaching potential rewards (Steinberg, 2004)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Steinberg, 2004 source
- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Interpretationreasoning
Prefrontal control resources were engaged more in individuals who had the most difficulty with response suppression, namely younger participants.
“The relationship between activity and performance suggests that prefrontal control resources were engaged to a greater degree in individuals who had the most difficulty accomplishing response suppression (i.e., younger participants).”
Quote in the paperSubstantial claim - Premisecitation
Dorsal striatum-prefrontal interactions are critical for integrating reward associations with behavioral output.
“Interactions between the dorsal striatum and prefrontal cortex have been shown in primates to be critical to integrating reward associations with behavioral output (Pasupathy & Miller, 2005), a finding paralleled by adult human imaging literature (Galvan, et al., 2005; Poldrack, Prabhakaran, Seger, & Gabrieli, 1999).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Adolescents show exaggerated ventral striatal responses to reward compared with adults and children.
“For example, receipt of a monetary incentive led to exaggerated responses in the ventral striatum of adolescents compared to adults (Ernst, et al., 2005) and children (Galvan, et al., 2006; Van Leijenhorst, et al., 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The age differences in accuracy cannot be accounted for by a general speed-accuracy tradeoff.
“We found no evidence of speed-accuracy tradeoff effects because unlike the accuracy findings, the test for an interaction between age and emotion in reaction times was not significant (F(2,59) = 1.78, p > 0.15).”
Quote in the paperSubstantial claim - Interpretationown data
The results point to a functional frontostriatal circuit with stronger coordinated activity during correct response suppression than when suppression was not required.
“These findings implicate a functional frontostriatal circuit showing significantly greater coordinated activity during trials in which response suppression was correctly engaged relative to trials in which response suppression was not required.”
Quote in the paperSubstantial claim - Premisecitation
Interactions among the ventral striatum, dorsal striatum, and prefrontal cortex are critical to learning, expressing, and regulating motivated behavior.
“Interactions between the ventral striatum, dorsal striatum, and prefrontal cortex are critical to the learning, expression, and regulation of motivated behavior.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cools, Ivry, & D'Espostio, 2006 source
- Classified as probably not a substantial claim. 14
- May combine two claims. 13
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent studies show that providing incentives can enhance cognitive control performance.
“A notable exception is recent work demonstrating how incentive can upregulate cognitive control abilities (Geier, et al., 2010; Hardin, et al., 2009), in which participants were rewarded for correctly suppressing an otherwise neutral behavior.”
Quote in the paperNot a substantial claim2 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationDynamic interactions between frontostriatal and ventral striatal circuitry across development are thought to mediate adolescents' reduced ability to resist approaching potential rewards.
“Based on nonhuman and human work to date, we specifically targeted frontostriatal and ventral striatal circuitry as candidate regions whose dynamic interactions across development are thought to mediate adolescents' reduced ability to resist approaching potential rewards (Somerville & Casey, 2010).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Somerville & Casey, 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome studies have found less prefrontal cortical recruitment with increasing age.
“Some studies, consistent with what is presented here, have demonstrated progressively lesser recruitment of prefrontal cortical regions with increasing age (Hardin, et al., 2009; Velanova, Wheeler, & Luna, 2008).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Hardin, et al., 2009 source
The Methods (Eye Movement Recording; page unavailable) describe eye-tracking measures, and the Discussion (page unavailable) reports how incentives and emotional cues affected inhibitory performance. A search for age-related prefrontal recruitment found no passage in our copy reporting progressively less prefrontal cortical recruitment with increasing age. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites Velanova, Wheeler, & Luna, 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCalm faces are less positive and less arousing than happy faces.
“Though normative data suggest that calm faces are less positive and arousing than happy faces (Tottenham et al., 2009)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Tottenham et al., 2009 source
The Method (§2.3.3; page unavailable) defines calm as close to neutral and only slightly happy, supporting the description of calm faces as less positive than happy faces. The paper distinguishes high-arousal happy expressions in the Introduction (§1; page unavailable), but does not report a calm-versus-happy arousal comparison. Its normative judgments concern expression labels, not ratings of both qualities. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
Findingown dataBecause performance differed significantly by age, the count of correct trials was not equal across groups in the first-level GLM analyses.
“As task performance was significantly different across age groups, the number of correct trials varied during first-level GLM analyses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataRemoving an extreme outlier made the correlation between right inferior frontal gyrus response and performance even stronger.
“Although the correlation is significant including this individual, excluding this individual renders the resulting correlation even more reliable (r(60) = 0.45, p < 0.001).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe right inferior frontal gyrus responded more strongly to calm than to happy faces.
“Posthoc analyses indicated that the right IFG also showed greater activity to calm relative to happy faces (F(2,59) = 8.95, p < 0.005).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAdolescents showed greater ventral striatum engagement than children and adults in response to calm faces, though this effect was weaker.
“and to a lesser extent, to calm faces (p's =/< 0.06; means +/− standard deviation of percent signal change for calm versus rest: children: −0.095 +/− 0.21; teens: 0.046 +/− 0.16; adults: −0.051 +/− 0.17).”
Quote in the paperNot a substantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
May combine two claims.
Findingown dataActivity magnitude for happy trials, calm trials, and nogo versus go trials was not related to task performance.
“The magnitude of activity to happy trials, calm trials, and no-go versus go trials was not associated with task performance (p's > 0.2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe right inferior frontal gyrus response across age was explained by a linear function, not a quadratic function.
“Post-hoc analyses testing for the best fitting function indicated the right IFG response was significantly explained by a linear function (F(1,59) = 4.53, p = 0.037) and not a quadratic function (F(1,59) = .17, p > 0.6).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationHappy faces serve as an appetitive cue, supported by faster approach response times to happy compared with calm expressions.
“The assertion that happy faces represent an appetitive stimulus is based on data showing that response latencies to approach happy stimuli (via button press) are speeded relative to less emotional calm expressions (Hare et al., 2005, see Results).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hare et al., 2005 source
Classified as probably not a substantial claim.
PremisecitationEarlier studies have shown that frontostriatal circuitry supports successful response inhibition.
“Prior work with the go-nogo paradigm has established a role for frontostriatal circuitry in supporting successful behavioral inhibition (Casey et al., 2000; Durston, Thomas, Yang, et al., 2002; Hare et al., 2005).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEpidemiological research indicates that risk-taking rises in adolescence, shown by higher rates of drug and alcohol experimentation, accidental death, and unprotected sex.
“Epidemiological studies report enhanced risk-taking behavior during the adolescent years, as evidenced by substantial influx in drug and alcohol experimentation, accidental death, and unprotected sex (Eaton, et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Eaton, et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe results suggest that adolescents over-represent appetitive cues in the ventral striatum while having an intermediate cognitive control response.
“These findings implicate exaggerated ventral striatal representation of appetitive cues in adolescents relative to an intermediary cognitive control response.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationStriatocortical interactions are central to goal-directed behavioral regulation and to impulse suppression.
“Striatocortical interactions have been shown across tasks and species to be central to accomplishing goal-directed behavioral regulation (Delgado, et al., 2004; Durston, Thomas, Yang, et al., 2002; Schultz, Tremblay, & Hollerman, 2000), and more specifically in the suppression of impulses (Miller & Cohen, 2001).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationParallel striatocortical loops for different goal-directed behaviors communicate at the level of the basal ganglia.
“Moreover, “parallel” striatocortical loops involved in different forms of goal directed behavior (motor, oculomotor, stimulus-driven, response-driven or motivational) have long been suggested to communicate at the level of the basal ganglia (Alexander & Crutcher, 1990; Casey, 2000; Casey, Durston, & Fossella, 2001; Casey, Tottenham, & Fossella, 2002).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe findings suggest that subcortical signaling develops relatively early, while top-down control signaling is more protracted.
“Our findings are consistent with differential biasing of these loops at the level of the striatum, when subcortical systems appear to be reaching functional maturity and suggest that while signaling of subcortical regions develops relatively early, top down signaling from these control regions may be more protracted.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationAdolescent risk-taking is not solely due to immature cognitive regulation; motivational aspects of the environment affect behavioral regulation in a given context.
“It is also not solely attributable to immature cognitive regulation abilities (Yurgelun-Todd, 2007), as motivational aspects of the environment influence the ability to regulate behavior in a given context.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Yurgelun-Todd, 2007 source
- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningExperience over time shapes the regulation of approach behaviors, shifting toward a greater balance between approach and regulatory signaling and strengthening resistance to temptation.
“Over time, experience shapes the capacity to regulate these approach behaviors, which shifts toward a state of greater balance between dynamic approach and regulatory signaling circuitries and strengthening of the ability to resist temptation.”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationGreater prefrontal recruitment in younger individuals may result from greater cognitive demands needed to complete the same task as older individuals.
“Greater recruitment in younger ages may also be a result of increasing cognitive demands required of younger individuals in order to successfully complete the same task as older individuals, as suggested by Velanova and colleagues (2008) based on similar findings using an antisaccade task.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Velanova and colleagues (2008)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataAdolescents could suppress behavior in neutral contexts at a level between children and adults, but they specifically failed to override approach motivation toward appetitive cues.
“These behavioral findings suggest that although adolescents can engage behavioral suppression in neutral contexts at a proficiency intermediate to children and adults, they demonstrate a specific failure to override approach motivation toward appetitive cues.”
Quote in the paperSubstantial claim- Rests on an assumption: Happy faces function as appetitive cues that signal reward and facilitate approach responses.
- Rests on an assumption: False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior work reports inferior frontal gyrus engagement on trials where suppression was correctly invoked.
“This pattern is consistent with prior work using the go nogo paradigm (Durston, Davidson, et al., 2003; Durston, Thomas, Yang, et al., 2002; Luna & Sweeney, 2004), reporting engagement of the inferior frontal gyrus for trials in which suppression was correctly invoked.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPeople with Parkinson's disease and focal striatal disruption show selective deficits in identifying and selecting motivationally relevant information.
“Indeed, individuals with Parkinson's disease who suffer from focal disruption of striatal activity demonstrate selective deficits in identifying and selecting motivationally relevant information in the environment (Cools, Ivry, & D'Espostio, 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cools, Ivry, & D'Espostio, 2006 source
The paper relies on this without support.
Risk-taking during adolescence is a public health concern that raises the likelihood of poor long-term outcomes.
“Adolescent risk-taking is a public health issue that increases the odds of poor lifetime outcomes.”
The paper relies on this without support.
Adolescent behavior differs qualitatively from child and adult behavior in many respects.
“Adolescent behavior is qualitatively different from that seen in children and adults in numerous ways.”
The paper relies on this without support.
Most evidence supporting these theoretical models has examined reward processing and cognitive control separately.
“Though recent neurobiological research has largely supported this conceptualization, the majority of evidence informing these theoretical models has separately targeted either reward processing or cognitive control systems.”
The paper relies on this without support.
Happy faces function as appetitive cues that signal reward and facilitate approach responses.
“Using a task that contains salient, appetitive stimuli (e.g., happy faces) that facilitated approach responses”
The paper relies on this without support.
False alarm rate on happy nogo trials is a valid index of failure to suppress approach behavior toward appetitive cues.
“We focus on the happy condition because happy-nogo relative to happy-go trials encompass the psychological construct of suppressing approach responses toward potential rewards.”
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?
Behavioral regulation in response to motivational, social, and emotional inputs relies on prefrontal circuitry.
“Behavioral regulation in response to these inputs has been shown to rely on prefrontal circuitry (Dreyfuss et al., 2014; Hare et al., 2008; Somerville et al., 2011)”
From When Is an Adolescent an Adult? Assessing Cognitive Control in Emotional and Nonemotional Contexts (2016) · cites this paper as Somerville et al., 2011
Only adolescents showed impaired impulse control in the happy, relative to the calm, no-go condition in Somerville et al. (2011).
“In fact, only adolescents showed impaired impulse control in the happy, relative to the calm, no-go condition.”
From The dual systems model: Review, reappraisal, and reaffirmation (2016) · cites this paper as Somerville et al., 2011
In Somerville et al. (2011), for adolescents (ages 13-17) more than for children (ages 6-12) or adults (ages 18-29), withholding a button press was more difficult when the no-go stimulus was a happy face than when it was a calm face.
“They found that for adolescents (ages 13–17) more than for children (ages 6–12) or adults (ages 18–29), withholding a button press was more difficult when the no-go stimulus was a happy face—a rewarding stimulus—than when it was a calm face.”
From The dual systems model: Review, reappraisal, and reaffirmation (2016) · cites this paper as Somerville et al., 2011
These neurobiological changes underlie profound maturation in motivational and cognitive domains across adolescence.
“These neurobiological changes underlie the profound maturation in motivational and cognitive domains across adolescence [30–34]”
From Adolescent nicotine exposure and persistent neurocircuitry changes: unveiling lifelong psychiatric risks (2025) · cites this paper as [33]
Earlier development of emotion-processing areas such as ventral medial frontal cortex may interact with more gradual development of cognitive control centers such as anterior cingulate cortex to support age-related improvements in behavioral flexibility.
“Earlier development of emotion-processing areas (e.g., vMFC) within this circuitry may interact with more gradual, protracted development of cognitive control centers (e.g., ACC) to support age-related improvements in behavioral flexibility10.”
From Developmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder (2011) · cites this paper as [10]
Frontal-striatal-thalamic circuitry maturation supports engagement of cognitive control in response to potential rewards and processing of errors to improve performance on cognitive tasks.
“FSTC maturation supports the engagement of cognitive control in response to potential rewards10 and the processing of errors to improve performance on cognitive tasks11.”
From Developmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder (2011) · cites this paper as [10]
Human developmental imaging studies have found impulsivity to emotional cues in early adolescence regardless of whether the cues are positive or negative or rewarding, along with activation of the amygdala and ventral striatum.
“Consistent with this hypothesis is evidence from human developmental imaging studies showing impulsivity to emotional cues regardless of valence (positive or negative) or value (rewarding) in early adolescence [25,26] and activation of these two regions [25,27].”
From Development of the emotional brain (2019) · cites this paper as [25]
Development of local subcortical circuitry before corticosubcortical circuitry during adolescence could trigger impulsivity to cues, regardless of valence or value.
“Thus development of local subcortical circuitry before corticosubcortical circuitry during adolescence could trigger impulsivity to cues, regardless of valence (positive or negative) or value (rewarding), a finding supported by our recent human developmental studies (Somerville et al., 2011, Dreyfuss et al., 2014).”
From Beyond simple models of adolescence to an integrated circuit-based account: A commentary (2016) · cites this paper as Somerville et al., 2011
Viewing developmental findings through a circuit lens is faithful to the organization of the underlying biological systems and to knowledge gained from nonhuman studies, and readily accommodates key findings demonstrating how the interactive effects of motivation signals on cognitive control change over development.
“Viewing developmental findings through a circuit lens is not only faithful to the organization of the underlying biological systems and to knowledge gained from elegant nonhuman studies, but it readily accommodates key findings demonstrating how the interactive effects of motivation signals on cognitive control change over development (e.g., Geier et al., 2010, Somerville et al., 2011, Teslovich”
From Beyond simple models of adolescence to an integrated circuit-based account: A commentary (2016) · cites this paper as Somerville et al., 2011
In healthy youths and those at risk for depression, emotional faces such as happy faces have been effective in recruiting nucleus accumbens activity and in separating diagnostic groups.
“However, in both healthy youths (Somerville et al., 2011) and those at risk for depression (Monk et al., 2008), emotional faces like happy have been effective in recruiting NAcc activity and effective in separating out diagnostic groups.”
From Reduced nucleus accumbens reactivity and adolescent depression following early-life stress (2013) · cites this paper as Somerville et al., 2011
The insular subregions identified by Shaw et al. closely resemble subregions identified in a meta-analysis of adult insular function during cognitive and emotional processes.
“Importantly, the subregions identified by Shaw et al. [60] closely resemble subregions identified in a recent meta-analysis of adult insular function during cognitive and emotional processes [64].”
From The role of the anterior insula in adolescent decision making (2014) · cites this paper as [64]
Normative development of reward-related brain regions involves structural and functional changes from childhood to adulthood, with prefrontal cortex maturation typically delayed relative to subcortical regions.
“Normative development of the brain regions involved in reward processing demonstrates structural and functional changes from childhood to adulthood, with maturation of PFC regions typically delayed compared to that of subcortical regions (Galvan et al., 2006; Mills et al., 2014; Somerville et al., 2011).”
From The effects of early life stress on reward processing (2018) · cites this paper as Somerville et al., 2011
BOLD signal in fronto-striatal regions was exaggerated in adolescents compared with adults in a go/no-go task that used happy faces as appetitive cues.
“BOLD signal in these regions was exaggerated in adolescents, compared with adults, in a go/no-go task that used happy faces as appetitive cues [27].”
From Is there heightened sensitivity to social reward in adolescence? (2016) · cites this paper as [27]
Adolescents (13-17) showed poorer impulse control to happy faces than children (6-12) and adults (18-29), as indicated by false alarms in no-go trials.
“Compared with children (6-12 year olds) and adults (18-29), adolescents (13-17) showed poorer impulse control to happy faces, as indicated by false alarms (erroneous presses) in no-go trials”
From Is there heightened sensitivity to social reward in adolescence? (2016) · cites this paper as [27]
Adolescents (13-17) showed increased activation in the VS to happy faces relative to calm faces compared with children (6-12) and adults (18-29).
“and increased activation in the VS to happy faces relative to calm faces (collapsed across go and no-go trials; [27]).”
From Is there heightened sensitivity to social reward in adolescence? (2016) · cites this paper as [27]
Existing evidence indicates that human adolescents find potential social evaluation of either valence more salient than other ages.
“Second, existing evidence indicates that human adolescents find potential social evaluation of either valence more salient than other ages [27,28]”
From Is there heightened sensitivity to social reward in adolescence? (2016) · cites this paper as [27]
Adolescents show greater ventral striatum activity and greater ventral-dorsal striatal co-activation for happy no-go vs. go trials compared to children and adults; PFC recruitment positively correlates with overall accuracy and decreases with increasing age for no-go vs. go trials.
“Adolescents vs. children and adults showed greater ventral striatum activity. PFC recruitment positively correlated with overall accuracy and decreased with increasing age for no-go vs. go trials.Adolescents vs. children and adults showed greater ventral-dorsal striatal co-activation for happy no-go vs. go trials (fMRI)”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
False alarm rate on no-go happy trials relative to no-go neutral trials is greater for adolescents than for either children or adults.
“False alarm rate on no-go happy trials relative to no-go neutral trials was greater for adolescents than for either children or adults”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
Inferior frontal gyrus activation decreased with increasing age for no-go relative to go trials.
“activation in the inferior frontal gyrus (IFG; typically activated during inhibitory control (e.g. Aron et al., 2004), decreased with increasing age for no-go relative to go trials”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
The adolescent-specific performance dip on the happy no-go task was paralleled by heightened activity in the ventral striatum.
“This adolescent-specific performance dip was paralleled by heightened activity in the VS, an area involved in the processing and anticipation of rewards (Schultz, 2006).”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
Adolescents aged 13-17 showed a disproportionately greater false alarm rate on no-go happy trials relative to no-go neutral trials than children aged 6-12 or adults aged 18-29.
“the false alarm rate on no-go ‘happy’ trials relative to no-go neutral trials was disproportionately greater for adolescents (aged 13–17) than for either children (aged 6–12) or adults (18–29) (Somerville et al., 2011).”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
Children showed reduced functional coactivation between IFG and striatum on happy no-go relative to happy go trials compared with adolescents and adults.
“children showed reduced functional coactivation between these regions on happy no-go relative to happy go trials, compared with adolescents and adults”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
Inferior frontal gyrus activation was positively correlated with overall no-go false alarms.
“and was positively correlated with overall no-go false alarms.”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
Adolescents showed increased coactivation between dorsal and ventral striatum relative to both children and adults.
“while adolescents showed increased coactivation between dorsal and VS relative to both children and adults.”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Somerville et al., 2011
One study showed a transient decrease in response inhibition in adolescents aged 13-17 relative to children and adults.
“One study showed a transient adolescent (age 13–17) decrease in response inhibition relative to children and adults (Somerville et al., 2010), however there are considerable individual differences in performance across studies that may reflect age independent factors.”
From Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex? (2017) · cites this paper as Somerville et al., 2010
Prior work has demonstrated that adolescents' ability to regulate emotional and behavioral responses toward social and emotional cues continues to improve through adolescence.
“Consistent with this perspective, prior work has demonstrated that adolescents’ ability to regulate emotional and behavioral responses toward social and emotional cues continues to improve through adolescence (37–39).”
From Development of self-protective biases in response to social evaluative feedback (2017) · cites this paper as [37]
Such peaks in ventral striatum activation are associated with compromised cognitive control and increased self-reported risk taking.
“Such peaks in ventral striatum activation are associated with compromised cognitive control (Somerville et al., 2011) and increased self-reported risk taking (Galván et al., 2007).”
From Dopaminergic reward sensitivity can promote adolescent health: a new perspective on the mechanism of ventral striatum activation (2016) · cites this paper as Somerville et al., 2011
Although adolescents tend to show detriments in cognitive performance, particularly in highly arousing or emotional states, adolescents actually show improved performance (i.e., inhibit prepotent responses) when they are rewarded for doing so.
“Although adolescents tend to show detriments in cognitive performance, particularly in highly arousing or emotional states (e.g., Hare et al., 2008, Somerville et al., 2011), adolescents actually show improved performance (i.e., inhibit prepotent responses) when they are rewarded for doing so (Geier and Luna, 2009, Geier and Luna, 2012, Geier et al., 2010, Padmanabhan et al., 2011).”
From Dopaminergic reward sensitivity can promote adolescent health: a new perspective on the mechanism of ventral striatum activation (2016) · cites this paper as Somerville et al., 2011
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
Inconsistent p-value: r(18) = 0.54, p = .016
MinorThe paper reports p = .016 here; recomputing from the test statistic and its degrees of freedom gives p = .014 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .016 · recomputed p = .014
“r(18) = 0.54, p = 0.016”
Inconsistent p-value: F(2,59) = 7.80, p = .007
MinorThe paper reports p = .007 here; recomputing from the test statistic and its degrees of freedom gives p < .001. The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .007 · recomputed p < .001
“F(2,59) = 7.80, p = 0.007”
Inconsistent p-value: r(18) = 0.57, p = .012
MinorThe paper reports p = .012 here; recomputing from the test statistic and its degrees of freedom gives p = .009 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .012 · recomputed p = .009
“r(18) = 0.57, p = 0.012”
Inconsistent p-value: r(24) = 0.49, p = .013
MinorThe paper reports p = .013 here; recomputing from the test statistic and its degrees of freedom gives p = .011 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .013 · recomputed p = .011
“r(24) = 0.49, p = 0.013”
Inconsistent p-value: F(2,59) = 6.77, p < .002
MinorThe paper reports p < .002 here; recomputing from the test statistic and its degrees of freedom gives p = .002. The check cannot tell whether the statistic or the p-value is the misprint.
Reported p < .002 · recomputed p = .002
“F(2,59) = 6.77, p < 0.002”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Doesn’t add upF(2, 59) = 6.77reported p < .002 · recomputed p = .002
“F(2,59) = 6.77, p < .002”
- Doesn’t add upF(2, 59) = 7.8reported p = .007 · recomputed p < .001
“F(2,59) = 7.80, p = .007”
- Doesn’t add upr(24) = 0.49reported p = .013 · recomputed p = .011
“r(24) = 0.49, p = .013”
- Doesn’t add upr(18) = 0.57reported p = .012 · recomputed p = .009
“r(18) = 0.57, p = .012”
- Doesn’t add upr(18) = 0.54reported p = .016 · recomputed p = .014
“r(18) = 0.54, p = .016”
- ConsistentF(1, 59) = 15.44reported p < .001 · recomputed p < .001
“F(1,59) = 15.44, p < .001”
- ConsistentF(2, 59) = 0.24reported p > .7 · recomputed p = .787
“F(2,59) = .24, p > .7”
- ConsistentF(2, 59) = 0.13reported p > .8 · recomputed p = .878
“F(2,59) = .13, p > .8”
- ConsistentF(2, 59) = 12.57reported p < .001 · recomputed p < .001
“F(2,59) = 12.57, p < .001”
- ConsistentF(2, 59) = 3.59reported p = .034 · recomputed p = .034
“F(2,59) = 3.59, p = .034”
- ConsistentF(1, 59) = 1.18reported p > .2 · recomputed p = .282
“F(1,59) = 1.18, p > .2”
- Consistentt(35) = 2.04reported p = .049 · recomputed p = .049
“t(35) = 2.04, p = .049”
- Consistentt(42) = 2.62reported p = .012 · recomputed p = .012
“t(42) = 2.62, p = .012”
- Consistentt(18) = 2.87reported p = .01 · recomputed p = .010
“t(18) = 2.87, p = .01”
- ConsistentF(1, 59) = 22.3reported p < .001 · recomputed p < .001
“F(1,59) = 22.3, p < .001”
- ConsistentF(1, 59) = 6.52reported p = .013 · recomputed p = .013
“F(1,59) = 6.52, p = .013”
- ConsistentF(1, 59) = 14.31reported p < .001 · recomputed p < .001
“F(1,59) = 14.31, p < .001”
- ConsistentF(1, 59) = 36.09reported p < .001 · recomputed p < .001
“F(1,59) = 36.09, p < .001”
- ConsistentF(2, 59) = 1.78reported p > .15 · recomputed p = .178
“F(2,59) = 1.78, p > .15”
- ConsistentF(1, 59) = 10.05reported p < .003 · recomputed p = .002
“F(1,59) = 10.05, p < .003”
- ConsistentF(1, 59) = 0.54reported p > .4 · recomputed p = .465
“F(1,59) = 0.54, p > .4”
- ConsistentF(1, 59) = 4.53reported p = .037 · recomputed p = .037
“F(1,59) = 4.53, p = .037”
- ConsistentF(1, 59) = 0.17reported p > .6 · recomputed p = .682
“F(1,59) = .17, p > .6”
- ConsistentF(2, 59) = 8.95reported p < .005 · recomputed p < .001
“F(2,59) = 8.95, p < .005”
- Consistentr(61) = -0.28reported p = .026 · recomputed p = .026
“r(61) = −0.28, p = .026”
- Consistentr(61) = 0.39reported p = .002 · recomputed p = .002
“r(61) = 0.39, p = .002”
- Consistentr(61) = 0.28reported p = .026 · recomputed p = .026
“r(61) = 0.28, p = .026”
- Consistentr(60) = 0.45reported p < .001 · recomputed p < .001
“r(60) = 0.45, p < .001”
- Consistentr(17) = 0.41reported p = .09 · recomputed p = .081
“r(17) = 0.41, p = .09”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Self-check results appear here once an independent check has confirmed them.
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803 · see citing works
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798 · see citing works
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565 · see citing works
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
The adolescent brain and age-related behavioral manifestations
Spear, L. P. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(00)00014-2 · Cited by 5,433 · see citing works
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058 · see citing works
Functional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131 · see citing works
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718 · see citing works
A social neuroscience perspective on adolescent risk-taking
Steinberg, L. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.002 · Cited by 3,644 · see citing works
The NimStim set of facial expressions: Judgments from untrained research participants.
Tottenham, N., Tanaka, J. W., Leon, A. C., McCarry, T., Nurse, M., Hare, T. A., Marcus, D. J., Westerlund, A., Casey, B., & Nelson, C. (2009) · Psychiatry Research · doi:10.1016/j.psychres.2008.05.006 · Cited by 3,454 · see citing works
Self-citationDopamine, learning and motivation.
Wise, R. A. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1406 · Cited by 3,379 · cited 2× · see citing works
“…representing the appetitive valueof potential rewards such as the ventral striatum (Haber & Knutson, 2009; Spicer et al., 2007; Galvan et al., 2005; Wise, 2004; Carlezon & Wise, 1996; Pontieri, Tanda, Orzi, & Di Chiara, 1996) show strong signaling during adolescence, which may be indicative of…”
(2006) · PubMed · Cited by 3,378 · see citing works
Casey, B. J., Jones, R. M., & Hare, T. A. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.010 · Cited by 3,345 · see citing works
Self-citationPsychophysiological and Modulatory Interactions in Neuroimaging
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0291 · Cited by 3,097 · see citing works
Understanding adolescence as a period of social–affective engagement and goal flexibility
Crone, E. A., & Dahl, R. E. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3313 · Cited by 2,507 · see citing works
Casey, B. J., Getz, S., & Galvan, A. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.003 · Cited by 1,810 · see citing works
Self-citationAdolescent Brain Development: A Period of Vulnerabilities and Opportunities. Keynote Address
DAHL, R. E. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.001 · Cited by 1,667 · see citing works
The Role of the Dorsal Striatum in Reward and Decision-Making: Figure 1.
Balleine, B. W., Delgado, M. R., & Hikosaka, O. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1554-07.2007 · Cited by 1,390 · see citing works
Immature Frontal Lobe Contributions to Cognitive Control in Children
Bunge, S. A., Dudukovic, N. M., Thomason, M. E., Vaidya, C. J., & Gabrieli, J. D. E. (2002) · Neuron · doi:10.1016/s0896-6273(01)00583-9 · Cited by 1,291 · see citing works
Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1062-06.2006 · Cited by 1,282 · see citing works
Self-citationThe neural basis of puberty and adolescence
Sisk, C. L., & Foster, D. L. (2004) · Nature Neuroscience · doi:10.1038/nn1326 · Cited by 1,085 · cited 2× · see citing works
“…circulating gonadal hormones affect both organizational and activational mechanisms to influence brain function across development (Steinberg, 2008; Sisk & Foster, 2004; Romeo & Sisk, 2001) and has shown a predictive relationship between pubertal status and such appetitive behaviors as sensation…”
InfluentialNELSON, E. E., LEIBENLUFT, E., McCLURE, E. B., & PINE, D. S. (2005) · Psychological Medicine · doi:10.1017/s0033291704003915 · Cited by 1,075 · see citing works
Effects of nicotine on the nucleus accumbens and similarity to those of addictive drugs.
Pontieri, F. E., Tanda, G., Orzi, F., & Chiara, G. D. (1996) · Nature · doi:10.1038/382255a0 · Cited by 1,073 · see citing works
The role of puberty in the developing adolescent brain
Blakemore, S., Burnett, S., & Dahl, R. E. (2010) · Human Brain Mapping · doi:10.1002/hbm.21052 · Cited by 1,011 · see citing works
Risk taking in adolescence: What changes, and why?
STEINBERG, L. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.005 · Cited by 963 · see citing works
Reward processing in primate orbitofrontal cortex and basal ganglia
Schultz, W. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.272 · Cited by 942 · see citing works
Hare, T. A., Tottenham, N., Galvan, A., Voss, H. U., Glover, G. H., & Casey, B. J. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.03.015 · Cited by 928 · see citing works
Self-citationWhat has fMRI told us about the Development of Cognitive Control through Adolescence?
Luna, B., Padmanabhan, A., & O’Hearn, K. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.08.005 · Cited by 892 · see citing works
Vaidya, C. J., Austin, G., Kirkorian, G., Ridlehuber, H. W., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.24.14494 · Cited by 845 · see citing works
Emotional and cognitive changes during adolescence.
Yurgelun-Todd, D. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.03.009 · Cited by 816 · see citing works
CASEY, B. J., CASTELLANOS, F. X., GIEDD, J. N., MARSH, W. L., HAMBURGER, S. D., SCHUBERT, A. B., VAUSS, Y. C., VAITUZIS, A. C., DICKSTEIN, D. P., SARFATTI, S. E., et al. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199703000-00016 · Cited by 800 · see citing works
Self-citationGitelman, D. R., Penny, W. D., Ashburner, J., & Friston, K. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00058-2 · Cited by 799 · see citing works
Maturation of widely distributed brain function subserves cognitive development.
Luna, B., Thulborn, K. R., Munoz, D. P., Merriam, E. P., Garver, K. E., Minshew, N. J., Keshavan, M. S., Genovese, C. R., Eddy, W. F., & Sweeney, J. A. (2001) · NeuroImage · doi:10.1006/nimg.2000.0743 · Cited by 757 · see citing works
Triadic model of the neurobiology of motivated behavior in adolescence.
ERNST, M., PINE, D. S., & HARDIN, M. (2006) · Psychological Medicine · doi:10.1017/s0033291705005891 · Cited by 718 · see citing works
Different time courses of learning-related activity in the prefrontal cortex and striatum.
Pasupathy, A., & Miller, E. K. (2005) · Nature · doi:10.1038/nature03287 · Cited by 712 · see citing works
Decision-making in the adolescent brain
Blakemore, S.-J., & Robbins, T. W. (2012) · Nature Neuroscience · doi:10.1038/nn.3177 · Cited by 711 · see citing works
Klingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317205276 · Cited by 695 · see citing works
The neural mechanisms of inter-temporal decision-making: understanding variability
Peters, J., & Büchel, C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.03.002 · Cited by 693 · see citing works
A shift from diffuse to focal cortical activity with development
Durston, S., Davidson, M. C., Tottenham, N., Galvan, A., Spicer, J., Fossella, J. A., & Casey, B. J. (2006) · Developmental Science · doi:10.1111/j.1467-7687.2005.00454.x · Cited by 692 · see citing works
Self-citationHaber, S. N., Kim, K.-S., Mailly, P., & Calzavara, R. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0271-06.2006 · Cited by 686 · see citing works
A neural basis for the development of inhibitory control
Durston, S., Thomas, K. M., Yang, Y., Uluğ, A. M., Zimmerman, R. D., & Casey, B. J. (2002) · Developmental Science · doi:10.1111/1467-7687.00235 · Cited by 684 · see citing works
Self-citationBehavioral and neural correlates of delay of gratification 40 years later
Casey, B. J., Somerville, L. H., Gotlib, I. H., Ayduk, O., Franklin, N. T., Askren, M. K., Jonides, J., Berman, M. G., Wilson, N. L., Teslovich, T., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108561108 · Cited by 683 · see citing works
Self-citationErnst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Blair, J., & Pine, D. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.038 · Cited by 635 · see citing works
Developmental neurobiology of cognitive control and motivational systems.
Somerville, L. H., & Casey, B. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.01.006 · Cited by 634 · see citing works
Self-citationRubia, K., Smith, A. B., Woolley, J., Nosarti, C., Heyman, I., Taylor, E., & Brammer, M. (2006) · Human Brain Mapping · doi:10.1002/hbm.20237 · Cited by 632 · see citing works
Figner, B., Mackinlay, R. J., Wilkening, F., & Weber, E. U. (2009) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0014983 · Cited by 625 · see citing works
Differential patterns of striatal activation in young children with and without ADHD
Durston, S., Tottenham, N. T., Thomas, K. M., Davidson, M. C., Eigsti, I.-M., Yang, Y., Ulug, A. M., & Casey, B. J. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01904-2 · Cited by 619 · see citing works
Self-citationHerba, C., & Phillips, M. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00316.x · Cited by 526 · see citing works
(2008) · PubMed · Cited by 510 · see citing works
Pubertal development and behavior: hormonal activation of social and motivational tendencies
Forbes, E. E., & Dahl, R. E. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.10.007 · Cited by 494 · see citing works
Age differences in affective decision making as indexed by performance on the Iowa gambling task
Cauffman, E., Shulman, E. P., Steinberg, L., Claus, E., Banich, M. T., Graham, S., & Woolard, J. (2010) · Developmental Psychology · doi:10.1037/a0016128 · Cited by 488 · see citing works
Amygdala response to facial expressions in children and adults.
Thomas, K. M., Drevets, W. C., Whalen, P. J., Eccard, C. H., Dahl, R. E., Ryan, N. D., & Casey, B. J. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01066-0 · Cited by 470 · see citing works
Self-citationLUNA, B., & SWEENEY, J. A. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.035 · Cited by 467 · cited 2× · see citing works
“This pattern is consistent with prior work using the go/no-go paradigm (Luna & Sweeney, 2004; Durston, Davidson, et al., 2003; Durston, Thomas, Yang, et al., 2002), reporting engagement of the IFG for trials in which suppression was correctly invoked.”
Neurocognitive development of the ability to manipulate information in working memory
Crone, E. A., Wendelken, C., Donohue, S. E., Leijenhorst, L. V., & Bunge, S. A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510088103 · Cited by 463 · see citing works
Brain Development During the Preschool Years
Brown, T. T., & Jernigan, T. L. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9214-1 · Cited by 462 · see citing works
What Motivates the Adolescent? Brain Regions Mediating Reward Sensitivity across Adolescence
Van Leijenhorst, L., Zanolie, K., Van Meel, C. S., Westenberg, P. M., Rombouts, S. A. R. B., & Crone, E. A. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp078 · Cited by 449 · see citing works
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037//0894-4105.13.4.564 · Cited by 428 · see citing works
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037/0894-4105.13.4.564 · Cited by 428 · see citing works
Global youth tobacco surveillance, 2000-2007.
Cw, W., Jones, N. R., Peruga, A., Chauvin, J., Baptiste, J., de Silva, C., Awa, F. E., Tsouros, A. D., Rahman, K., Fishburn, B., et al. (2008) · PubMed · Cited by 410 · see citing works
Murphy, K., Bodurka, J., & Bandettini, P. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.032 · Cited by 396 · see citing works
Immaturities in reward processing and its influence on inhibitory control in adolescence.
Geier, C. F., Terwilliger, R., Teslovich, T., Velanova, K., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp225 · Cited by 396 · see citing works
Casey, B. J., Thomas, K. M., Welsh, T. F., Badgaiyan, R. D., Eccard, C. H., Jennings, J. R., & Crone, E. A. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.15.8728 · Cited by 389 · see citing works
Self-citationNeurodevelopmental changes in working memory and cognitive control
Bunge, S. A., & Wright, S. B. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.005 · Cited by 381 · see citing works
Sensation seeking, puberty, and nicotine, alcohol, and marijuana use in adolescence
MARTIN, C. A., KELLY, T. H., RAYENS, M. K., BROGLI, B. R., BRENZEL, A., SMITH, W. J., & OMAR, H. A. (2002) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200212000-00022 · Cited by 365 · see citing works
The Effect of Preceding Context on Inhibition: An Event-Related fMRI Study
Durston, S., Thomas, K. M., Worden, M. S., Yang, Y., & Casey, B. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1074 · Cited by 357 · see citing works
Self-citationContributions of amygdala and striatal activity in emotion regulation.
Hare, T. A., Tottenham, N., Davidson, M. C., Glover, G. H., & Casey, B. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.12.038 · Cited by 351 · see citing works
Self-citationRewarding Actions of Phencyclidine and Related Drugs in Nucleus Accumbens Shell and Frontal Cortex
Carlezon, & Wise, R. A. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-09-03112.1996 · Cited by 327 · see citing works
Pfeifer, J. H., & Allen, N. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.011 · Cited by 299 · see citing works
Eaton, D. K., Kann, L. K., Kinchen, S., Shanklin, S. L., Ross, J., Hawkins, J., Harris, W. A., Lowry, R., McManus, T., Chyen, D., et al. (2006) · Cited by 282 · see citing works
Velanova, K., Wheeler, M. E., & Luna, B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn012 · Cited by 277 · see citing works
Clinical, imaging, lesion, and genetic approaches toward a model of cognitive control
Casey, B. J., Tottenham, N., & Fossella, J. (2002) · Developmental Psychobiology · doi:10.1002/dev.10030 · Cited by 269 · see citing works
Self-citationFrontostriatal connectivity and its role in cognitive control in parent-child dyads with ADHD
Casey, B. J., Epstein, J. N., Buhle, J., Liston, C., Davidson, M. C., Tonev, S. T., Spicer, J., Niogi, S., Millner, A. J., Reiss, A., et al. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.06101754 · Cited by 258 · see citing works
Self-citationMotivation-dependent responses in the human caudate nucleus.
Delgado, M. R. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh062 · Cited by 246 · see citing works
Functional brain imaging across development
Rubia, K. (2012) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-012-0291-8 · Cited by 244 · see citing works
Reduced nucleus accumbens reactivity and adolescent depression following early-life stress
Goff, B., Gee, D. G., Telzer, E. H., Humphreys, K. L., Gabard-Durnam, L., Flannery, J., & Tottenham, N. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2012.12.010 · Cited by 234 · see citing works
Children's understanding of emotion from facial expressions and situations: A review.
Gross, A. L., & Ballif, B. (1991) · Developmental Review · doi:10.1016/0273-2297(91)90019-k · Cited by 213 · see citing works
The role of ventral frontostriatal circuitry in reward-based learning in humans.
Galvan, A., Hare, T. A., Davidson, M., Spicer, J., Glover, G., & Casey, B. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2431-05.2005 · Cited by 207 · see citing works
Self-citationDurston, S. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.08.004 · Cited by 201 · see citing works
Epstein, J. N., Casey, B. J., Tonev, S. T., Davidson, M. C., Reiss, A. L., Garrett, A., Hinshaw, S. P., Greenhill, L. L., Glover, G., Shafritz, K. M., et al. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01761.x · Cited by 173 · see citing works
Self-citationDevelopmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder
Fitzgerald, K. D., Welsh, R. C., Stern, E. R., Angstadt, M., Hanna, G. L., Abelson, J. L., & Taylor, S. F. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.06.011 · Cited by 165 · see citing works
Evidence for a mechanistic model of cognitive control
Casey, B. J., Durston, S., & Fossella, J. A. (2001) · Clinical Neuroscience Research · doi:10.1016/s1566-2772(01)00013-5 · Cited by 156 · see citing works
Self-citationStability of amygdala BOLD response to fearful faces over multiple scan sessions
Johnstone, T., Somerville, L. H., Alexander, A. L., Oakes, T. R., Davidson, R. J., Kalin, N. H., & Whalen, P. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.016 · Cited by 155 · see citing works
Self-citationAmygdala response to facial expressions in children and adults
Thomas, K. M., Eccard, C. H., Drevets, W. C., Dahl, R. E., Whalen, P. J., Perrett, D. I., Ryan, N. D., & Casey, B. J. (2000) · NeuroImage · doi:10.1016/s1053-8119(00)91180-7 · Cited by 131 · see citing works
Self-citationThe human striatum is necessary for responding to changes in stimulus relevance.
Cools, R., Ivry, R. B., & D'Esposito, M. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.12.1973 · Cited by 122 · see citing works
Barber, A. D., Caffo, B. S., Pekar, J. J., & Mostofsky, S. H. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.011 · Cited by 121 · see citing works
Enhanced striatal sensitivity to aversive reinforcement in adolescents versus adults
Galván, A., & McGlennen, K. M. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00326 · Cited by 111 · see citing works
Impulsivity and the Modular Organization of Resting-State Neural Networks
Davis, F. C., Knodt, A. R., Sporns, O., Lahey, B. B., Zald, D. H., Brigidi, B. D., & Hariri, A. R. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs126 · Cited by 106 · see citing works
Improved combination of spiral‐in/out images for BOLD fMRI
Glover, G. H., & Thomason, M. E. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20016 · Cited by 80 · see citing works
Pubertal and seasonal plasticity in the amygdala
Romeo, R. D., & Sisk, C. L. (2001) · Brain Research · doi:10.1016/s0006-8993(00)03111-5 · Cited by 67 · see citing works
Hardin, M. G., Mandell, D., Mueller, S. C., Dahl, R. E., Pine, D. S., & Ernst, M. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02121.x · Cited by 66 · cited 4× · see citing works
“Some studies, consistent with what is presented here, have demonstrated progressively lesser recruitment of prefrontal cortical regions with increasing age (Hardin et al., 2009; Velanova, Wheeler, & Luna, 2008).”
InfluentialDaily stress increases risky decision‐making in adolescents: A preliminary study
Galván, A., & McGlennen, K. M. (2011) · Developmental Psychobiology · doi:10.1002/dev.20602 · Cited by 56 · see citing works
Sensitivity of the nucleus accumbens to violations in expectation of reward
Spicer, J., Galván, A., Hare, T. A., Voss, H. U., Glover, G. H., & Casey, B. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.012 · Cited by 50 · see citing works
Self-citation(2001) · Cited by 49 · see citing works
Self-citationThe case against adolescence: rediscovering the adult in every teen
(2007) · Choice Reviews Online · doi:10.5860/choice.45-2313 · Cited by 44 · see citing works
Emotional Modulation of the Ability to Inhibit a Prepotent Response During Childhood
Urben, S., der Linden, M. V., & Barisnikov, K. (2012) · Developmental Neuropsychology · doi:10.1080/87565641.2012.675378 · Cited by 14 · see citing works
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Understanding adolescence as a period of social–affective engagement and goal flexibility
Crone, E. A., & Dahl, R. E. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3313 · Cited by 2,507 · see citing works
The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites
Casey, B. J., Cannonier, T., Conley, M. I., Cohen, A. O., Barch, D. M., Heitzeg, M. M., Soules, M. E., Teslovich, T., Dellarco, D. V., Garavan, H., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.001 · Cited by 2,167 · see citing works
Self-citationThe Brain on Stress: Vulnerability and Plasticity of the Prefrontal Cortex over the Life Course
McEwen, B. S., & Morrison, J. H. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.028 · Cited by 1,079 · see citing works
The Teenage Brain: Sensitivity to Social Evaluation
Somerville, L. H. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413476512 · Cited by 1,011 · see citing works
Self-citationMotivation and cognitive control: from behavior to neural mechanism
Botvinick, M., & Braver, T. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015044 · Cited by 909 · see citing works
The dual systems model: Review, reappraisal, and reaffirmation
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.010 · Cited by 867 · see citing works
“In the Emotional Go/No-Go task employed by Somerville et al. 2011), the stimuli were photographs of either happy or calm faces. hey found that for adolescents (ages 13–17) more than for chilren (ages 6–12) or adults (ages 18–29), withholding a button press as more difficult when the no-go stimulus…”
Beyond simple models of self-control to circuit-based accounts of adolescent behavior
Casey, B. J. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015156 · Cited by 742 · see citing works
Self-citationDecision-making in the adolescent brain
Blakemore, S.-J., & Robbins, T. W. (2012) · Nature Neuroscience · doi:10.1038/nn.3177 · Cited by 711 · see citing works
The neural mechanisms of inter-temporal decision-making: understanding variability
Peters, J., & Büchel, C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.03.002 · Cited by 693 · see citing works
The Teenage Brain: Peer Influences on Adolescent Decision Making
Albert, D., Chein, J., & Steinberg, L. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721412471347 · Cited by 713 · see citing works
Behavioral and neural correlates of delay of gratification 40 years later
Casey, B. J., Somerville, L. H., Gotlib, I. H., Ayduk, O., Franklin, N. T., Askren, M. K., Jonides, J., Berman, M. G., Wilson, N. L., Teslovich, T., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108561108 · Cited by 683 · see citing works
Self-citationNeurobiology of the Adolescent Brain and Behavior: Implications for Substance Use Disorders
Casey, B. J., & Jones, R. M. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.08.017 · Cited by 692 · see citing works
Self-citationAldao, A., Gee, D. G., De Los Reyes, A., & Seager, I. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000638 · Cited by 636 · see citing works
Braking and accelerating of the adolescent brain
Casey, B. J., Jones, R. M., & Somerville, L. H. (2011) · Journal of Research on Adolescence · doi:10.1111/j.1532-7795.2010.00712.x · Cited by 621 · see citing works
Self-citationNeurocognitive bases of emotion regulation development in adolescence
Ahmed, S. P., Bittencourt-Hewitt, A., & Sebastian, C. L. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.006 · Cited by 621 · see citing works
‘Willpower’ over the life span: decomposing self-regulation
Mischel, W., Ayduk, O., Berman, M. G., Casey, B. J., Gotlib, I. H., Jonides, J., Kross, E., Teslovich, T., Wilson, N. L., Zayas, V., et al. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq081 · Cited by 595 · see citing works
Self-citationSteinberg, L., Icenogle, G., Shulman, E. P., Breiner, K., Chein, J., Bacchini, D., Chang, L., Chaudhary, N., Giunta, L. D., Dodge, K. A., et al. (2018) · Developmental Science · doi:10.1111/desc.12532 · Cited by 514 · see citing works
Development of the emotional brain
Casey, B. J., Heller, A. S., Gee, D. G., & Cohen, A. O. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2017.11.055 · Cited by 485 · see citing works
Self-citationA meta-analysis on age differences in risky decision making: Adolescents versus children and adults.
Defoe, I. N., Dubas, J. S., Figner, B., & van Aken, M. A. G. (2014) · Psychological Bulletin · doi:10.1037/a0038088 · Cited by 453 · see citing works
Brain Development During the Preschool Years
Brown, T. T., & Jernigan, T. L. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9214-1 · Cited by 462 · see citing works
Puberty and the human brain: insights into adolescent development
Vijayakumar, N., Op de Macks, Z., Shirtcliff, E. A., & Pfeifer, J. H. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.004 · Cited by 437 · see citing works
Sensitive periods of substance abuse: Early risk for the transition to dependence
Jordan, C. J., & Andersen, S. L. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.10.004 · Cited by 455 · see citing works
“, 2006), combined with hyper-reactivity of reward salience (Brenhouse et al., 2008; Casey and Jones, 2010; Ernst et al., 2005; Galvan, 2010; Somerville et al., 2011), habit, and stress systems (Andersen and Teicher, 2008; Newcomb and Harlow, 1986; Sinha, 2008; Wills, 1986).”
The developmental mismatch in structural brain maturation during adolescence
Mills, K. L., Goddings, A.-L., Clasen, L. S., Giedd, J. N., & Blakemore, S.-J. (2014) · Developmental Neuroscience · doi:10.1159/000362328 · Cited by 440 · see citing works
The Impact of Internet Pornography on Adolescents: A Review of the Research
Owens, E. W., Behun, R. J., Manning, J. C., & Reid, R. C. (2012) · Sexual Addiction & Compulsivity The Journal of Treatment and Prevention · doi:10.1080/10720162.2012.660431 · Cited by 445 · see citing works
The development of social cognition in adolescence: An integrated perspective
Kilford, E. J., Garrett, E., & Blakemore, S.-J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.016 · Cited by 412 · see citing works
Mechanisms of motivation–cognition interaction: challenges and opportunities
Braver, T. S., Krug, M. K., Chiew, K. S., Kool, W., Westbrook, J. A., Clement, N. J., Adcock, R. A., Barch, D. M., Botvinick, M., Carver, C. S., et al. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-014-0300-0 · Cited by 400 · see citing works
Self-citationCasey, B. J., & Caudle, K. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413480170 · Cited by 412 · see citing works
Self-citationAddictions neuroclinical assessment: a neuroscience-based framework for addictive disorders
Kwako, L. E., Momenan, R., Litten, R. Z., Koob, G. F., & Goldman, D. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.10.024 · Cited by 395 · see citing works
Social connectedness, mental health and the adolescent brain
Lamblin, M., Murawski, C., Whittle, S., & Fornito, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.05.010 · Cited by 337 · see citing works
Tottenham, N., Hare, T. A., & Casey, B. J. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00039 · Cited by 335 · see citing works
Self-citationStress and the adolescent brain
Tottenham, N., & Galván, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.030 · Cited by 324 · see citing works
The Enigmatic Persistence of Anorexia Nervosa
Walsh, B. T. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12081074 · Cited by 307 · see citing works
Pfeifer, J. H., & Allen, N. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.011 · Cited by 299 · see citing works
Neural Perspectives on Cognitive Control Development during Childhood and Adolescence
Crone, E. A., & Steinbeis, N. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.01.003 · Cited by 287 · see citing works
Adolescence: what do transmission, transition and translation have to do with it?
Casey, B. J., Duhoux, S., & Cohen, M. M. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.033 · Cited by 297 · see citing works
Self-citationSpear, L. P. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.08.001 · Cited by 292 · see citing works
Addiction, adolescence, and the integration of control and motivation
Gladwin, T. E., Figner, B., Crone, E. A., & Wiers, R. W. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.06.008 · Cited by 296 · see citing works
When Is an Adolescent an Adult? Assessing Cognitive Control in Emotional and Nonemotional Contexts
Cohen, A. O., Breiner, K., Steinberg, L., Bonnie, R. J., Scott, E. S., Taylor-Thompson, K., Rudolph, M. D., Chein, J., Richeson, J. A., Heller, A. S., et al. (2016) · Psychological Science · doi:10.1177/0956797615627625 · Cited by 272 · see citing works
Self-citationTelzer, E. H. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.10.010 · Cited by 274 · see citing works
Dong, H.-M., Margulies, D. S., Zuo, X., & Holmes, A. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2024448118 · Cited by 240 · see citing works
Urošević, S., Collins, P., Muetzel, R., Lim, K., & Luciana, M. (2012) · Developmental Psychology · doi:10.1037/a0027502 · Cited by 258 · see citing works
Adolescent impatience decreases with increased frontostriatal connectivity
van den Bos, W., Rodriguez, C. A., Schweitzer, J. B., & McClure, S. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1423095112 · Cited by 253 · see citing works
Functional brain imaging across development
Rubia, K. (2012) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-012-0291-8 · Cited by 244 · see citing works
Adolescent neurobiological susceptibility to social context
Schriber, R. A., & Guyer, A. E. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.009 · Cited by 246 · see citing works
Silvers, J. A., Insel, C., Powers, A., Franz, P., Helion, C., Martin, R. E., Weber, J., Mischel, W., Casey, B. J., & Ochsner, K. N. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw073 · Cited by 244 · see citing works
Self-citationMedial temporal structures and memory functions in adolescents with heavy cannabis use
Ashtari, M., Avants, B., Cyckowski, L. L., Cervellione, K. L., Roofeh, D., Cook, P. A., Gee, J. C., Sevy, S. M., & Kumra, S. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.01.004 · Cited by 237 · see citing works
Is there heightened sensitivity to social reward in adolescence?
Foulkes, L., & Blakemore, S.-J. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.06.016 · Cited by 240 · see citing works
Adolescent Suicide as a Failure of Acute Stress-Response Systems.
Miller, A. B., & Prinstein, M. J. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095625 · Cited by 235 · see citing works
“…physiological responses to stressors (Stroud et al. 2009), increased prefrontal brain activation during social evaluation (Somerville 2013), and increased difficulty implementing cognitive control skills in the context of emotionally evocative events (Cohen et al. 2016, Somerville et al. 2011).”
BackgroundWachs, T. D., Georgieff, M., Cusick, S. E., & McEwen, B. S. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12314 · Cited by 236 · see citing works
Reduced nucleus accumbens reactivity and adolescent depression following early-life stress
Goff, B., Gee, D. G., Telzer, E. H., Humphreys, K. L., Gabard-Durnam, L., Flannery, J., & Tottenham, N. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2012.12.010 · Cited by 234 · see citing works
The Teenage Brain: Sensitivity to Rewards
Galván, A. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413480859 · Cited by 231 · see citing works
Understanding the role of puberty in structural and functional development of the adolescent brain
Goddings, A., Beltz, A., Peper, J. S., Crone, E. A., & Braams, B. R. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12408 · Cited by 219 · see citing works
Dolcos, F., Katsumi, Y., Moore, M., Berggren, N., de Gelder, B., Derakshan, N., Hamm, A. O., Koster, E. H. W., Ladouceur, C. D., Okon‐Singer, H., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.08.017 · Cited by 222 · see citing works
Hauser, T. U., Iannaccone, R., Walitza, S., Brandeis, D., & Brem, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.018 · Cited by 203 · see citing works
Gur, R. E., & Gur, R. (2016) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.035 · Cited by 203 · see citing works
Beyond simple models of adolescence to an integrated circuit-based account: A commentary
Casey, B., Galván, A., & Somerville, L. H. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.006 · Cited by 206 · see citing works
Self-citationSmith, A. R., Chein, J., & Steinberg, L. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.03.006 · Cited by 214 · see citing works
Sex steroids and brain structure in pubertal boys and girls: a mini-review of neuroimaging studies
Peper, J. S., Pol, H. E. H., Crone, E. A., & van Honk, J. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.02.014 · Cited by 205 · see citing works
Social Influence on Positive Youth Development: A Developmental Neuroscience Perspective
Telzer, E. H., van Hoorn, J., Rogers, C. R., & Do, K. T. (2018) · Advances in Child Development and Behavior · doi:10.1016/bs.acdb.2017.10.003 · Cited by 211 · see citing works
Padmanabhan, A., Geier, C. F., Ordaz, S. J., Teslovich, T., & Luna, B. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.06.004 · Cited by 202 · see citing works
Prediction complements explanation in understanding the developing brain
Rosenberg, M. D., Casey, B. J., & Holmes, A. J. (2018) · Nature Communications · doi:10.1038/s41467-018-02887-9 · Cited by 167 · see citing works
Self-citationThe effects of early life stress on reward processing
Novick, A. M., Levandowski, M. L., Laumann, L. E., Philip, N. S., Price, L. H., & Tyrka, A. R. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.02.002 · Cited by 192 · see citing works
“Normative development of the brain regions involved in reward processing demonstrates structural and functional changes from childhood to adulthood, with maturation of PFC regions typically delayed compared to that of subcortical regions (Galvan et al., 2006; Mills et al., 2014; Somerville et al., 2011).”
BackgroundBehavioral and Neural Properties of Social Reinforcement Learning
Jones, R. M., Somerville, L. H., Li, J., Ruberry, E. J., Libby, V., Glover, G., Voss, H. U., Ballon, D. J., & Casey, B. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2972-11.2011 · Cited by 191 · see citing works
Self-citationThe role of affective control in emotion regulation during adolescence
Schweizer, S., Gotlib, I. H., & Blakemore, S.-J. (2020) · Emotion · doi:10.1037/emo0000695 · Cited by 199 · see citing works
“For example, Somerville, Hare, and Casey (2011) showed reduced response inhibition to happy, but not neutral, faces in adolescents compared to both children and adults.”
BackgroundFeldstein Ewing, S. W., Sakhardande, A., & Blakemore, S.-J. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.06.011 · Cited by 185 · see citing works
In Search of a Human Self-Regulation System
Kelley, W. M., Wagner, D. D., & Heatherton, T. F. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014243 · Cited by 181 · see citing works
Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex?
Piekarski, D. J., Johnson, C. M., Boivin, J. R., Thomas, A. W., Lin, W. C., Delevich, K., M. Galarce, E., & Wilbrecht, L. (2017) · Brain Research · doi:10.1016/j.brainres.2016.08.042 · Cited by 175 · see citing works
van den Bos, W., & Hertwig, R. (2017) · Scientific Reports · doi:10.1038/srep40962 · Cited by 160 · see citing works
Richards, J. M., Plate, R. C., & Ernst, M. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.004 · Cited by 174 · see citing works
Behavioral Inhibition and Developmental Risk: A Dual-Processing Perspective
Henderson, H. A., Pine, D. S., & Fox, N. A. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.189 · Cited by 179 · see citing works
Crone, E. A., van Duijvenvoorde, A. C. K., & Peper, J. S. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12502 · Cited by 174 · see citing works
The Computational Development of Reinforcement Learning during Adolescence
Palminteri, S., Kilford, E. J., Coricelli, G., & Blakemore, S. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004953 · Cited by 152 · see citing works
Effects of early life stress on amygdala and striatal development
Fareri, D. S., & Tottenham, N. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.04.005 · Cited by 166 · see citing works
Self-Regulatory Depletion Enhances Neural Responses to Rewards and Impairs Top-Down Control
Wagner, D. D., Altman, M., Boswell, R. G., Kelley, W. M., & Heatherton, T. F. (2013) · Psychological Science · doi:10.1177/0956797613492985 · Cited by 166 · see citing works
Developmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder
Fitzgerald, K. D., Welsh, R. C., Stern, E. R., Angstadt, M., Hanna, G. L., Abelson, J. L., & Taylor, S. F. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.06.011 · Cited by 165 · see citing works
Luciana, M., Wahlstrom, D., Porter, J. N., & Collins, P. F. (2012) · Developmental Psychology · doi:10.1037/a0027432 · Cited by 156 · see citing works
The Adolescent Brain and the Emergence and Peak of Psychopathology
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Self-citationLópez‐Caneda, E., Holguı́n, S. R., Cadaveira, F., Corral, M., & Doallo, S. (2013) · Alcohol and Alcoholism · doi:10.1093/alcalc/agt168 · Cited by 154 · see citing works
Adolescent brain development in normality and psychopathology
Luciana, M. M. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000643 · Cited by 157 · see citing works
Human amygdala development in the absence of species‐expected caregiving
Tottenham, N. (2012) · Developmental Psychobiology · doi:10.1002/dev.20531 · Cited by 149 · see citing works
Neurobiological model of the persistence of anorexia nervosa
STEINGLASS, J. E., & Walsh, B. T. (2016) · Journal of Eating Disorders · doi:10.1186/s40337-016-0106-2 · Cited by 143 · see citing works
Peake, S. J., Dishion, T. J., Stormshak, E. A., Moore, W. E., & Pfeifer, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.061 · Cited by 147 · see citing works
Bjork, J. M., & Pardini, D. A. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.07.008 · Cited by 143 · see citing works
Stevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 138 · see citing works
Searching for Signatures of Brain Maturity: What Are We Searching For?
Somerville, L. H. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.059 · Cited by 137 · see citing works
Self-citationAchterberg, M., Peper, J. S., van Duijvenvoorde, A. C. K., Mandl, R. C. W., & Crone, E. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3459-15.2016 · Cited by 133 · see citing works
Silvers, J. A., Shu, J., Hubbard, A. D., Weber, J., & Ochsner, K. N. (2015) · Developmental Science · doi:10.1111/desc.12260 · Cited by 138 · see citing works
Adolescent brain maturation and smoking: What we know and where we’re headed
Lydon‐Staley, D. M., Wilson, S. J., Child, A. E., & Geier, C. F. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.07.003 · Cited by 133 · see citing works
van Duijvenvoorde, A. C. K., Achterberg, M., Braams, B. R., Peters, S., & Crone, E. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.069 · Cited by 130 · see citing works
Inhibitory Control During Emotional Distraction Across Adolescence and Early Adulthood
Cohen-Gilbert, J. E., & Thomas, K. M. (2013) · Child Development · doi:10.1111/cdev.12085 · Cited by 134 · see citing works
McCauley, E., Gudmundsen, G. R., Schloredt, K. A., Martell, C. R., Rhew, I. C., Hubley, S. H., & Dimidjian, S. (2015) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2014.979933 · Cited by 125 · see citing works
Haller, S. P., Kadosh, K. C., Scerif, G., & Lau, J. Y. F. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.02.002 · Cited by 133 · see citing works
Barber, A. D., Caffo, B. S., Pekar, J. J., & Mostofsky, S. H. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.011 · Cited by 121 · see citing works
Incentive Motivation, Cognitive Control, and the Adolescent Brain: Is It Time for a Paradigm Shift?
Luciana, M., & Collins, P. F. (2012) · Child Development Perspectives · doi:10.1111/j.1750-8606.2012.00252.x · Cited by 123 · see citing works
Neurobiology of adolescent substance use and addictive behaviors: treatment implications.
Hammond, C. J., Mayes, L. C., & Potenza, M. N. (2014) · PubMed · Cited by 115 · see citing works
Neural Correlates of Emotion Regulation in Adolescents and Emerging Adults: A Meta-analytic Study
Pozzi, E., Vijayakumar, N., Rakesh, D., & Whittle, S. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.08.006 · Cited by 120 · see citing works
Vink, M., Zandbelt, B. B., Gladwin, T., Hillegers, M., Hoogendam, J. M., van den Wildenberg, W. P. M., Du Plessis, S., & Kahn, R. S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22483 · Cited by 116 · see citing works
The role of the anterior insula in adolescent decision making
Smith, A. R., Steinberg, L., & Chein, J. (2014) · Developmental Neuroscience · doi:10.1159/000358918 · Cited by 110 · see citing works
Enhanced striatal sensitivity to aversive reinforcement in adolescents versus adults
Galván, A., & McGlennen, K. M. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00326 · Cited by 111 · see citing works
Teens impulsively react rather than retreat from threat
Dreyfuss, M., Caudle, K., Drysdale, A. T., Johnston, N. E., Cohen, A. O., Somerville, L. H., Galván, A., Tottenham, N., Hare, T. A., & Casey, B. J. (2014) · Developmental Neuroscience · doi:10.1159/000357755 · Cited by 111 · see citing works
Self-citation
- Authors
- Somerville, L. H., Hare, T., & Casey, B. J.
- Affiliations
- Weill Cornell Medicine (US)
- California Institute of Technology (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2011-09-01
- Volume
- 23
- Issue
- 9
- Pages
- 2123-2134
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC3131482
- OpenAlex
- W2171760615
- Cited by
- 523
- References
- 98
- Citations by year
- 2026: 17 · 2025: 15 · 2024: 16 · 2023: 22 · 2022: 31 · 2021: 38 · 2020: 38 · 2019: 37 · 2018: 59 · 2017: 42 · 2016: 42 · 2015: 40 · 2014: 50 · 2013: 40 · 2012: 18
- FWCI
- 14.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- College of Veterinary Medicine, Cornell University
- Weill Cornell Medical College
- National Institute of Mental Health (K99MH087813, P50MH079513, F31MH073265, P50MH062196)
- National Institute on Drug Abuse (R01DA018879, T32DA007274)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Keywords
- adolescent risk-taking, appetitive cues, cognitive control, ventral striatum, dorsal striatum, prefrontal cortex, frontostriatal circuits, impulse control, go/no-go task, developmental maturation, inferior frontal gyrus, neuronal connectivity
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Appetite, Brain Mapping, Child, Cognition Disorders, Corpus Striatum, Cues, Emotions, Female, Humans, Image Processing, Computer-Assisted, Inhibition, Psychological, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Oxygen, Photic Stimulation, Predictive Value of Tests, Reaction Time, Prefrontal Cortex, Young Adult
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