The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
A unique adolescent response to reward prediction errors
Open accessAbstract
Previous work has shown that human adolescents may be hypersensitive to rewards, but it is not known which aspect of reward processing is responsible for this. We separated decision value and prediction error signals and found that neural prediction error signals in the striatum peaked in adolescence, whereas neural decision value signals varied depending on how value was modeled. This suggests that heightened dopaminergic prediction error responsivity contributes to adolescent reward seeking.
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In the citing paper
“On the one hand, adolescents sometimes (41; 42; 43), although not always (44), show greater activation in ventral striatum while receiving rewards than do children or adults.”
From Adolescent Neurodevelopment (2013) · cites this paper as [42]
In the citing paper
“a recent model-based fMRI study showed increased neural signals for positive prediction errors in the striatum in adolescents (compared to children and adults), again possibly contributing to increased risk-taking behaviors in this age group”
From Addiction, adolescence, and the integration of control and motivation (2011) · cites this paper as Cohen et al., 2010
In the citing paper
“While Cohen et al. (2010) found differential activations between adolescents and adults in striatal areas, van den Bos et al. (2012) were not able to replicate that finding, but found differences in the connectivity between the ventromedial prefrontal cortex and the ventral striatum.”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Cohen et al., 2010
In the citing paper
“Despite the importance of RPE processing in adolescence, only few studies have investigated RPE processing in adolescents (Christakou et al., 2011; Cohen et al., 2010; Javadi et al., 2014a; van den Bos et al., 2012).”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Cohen et al., 2010
In the citing paper
“During the feedback stage, activation in response to positive prediction errors (unexpected gain) peaked in the striatum (MNI 14, 16, 4) and angular gyrus (MNI 60, −44, 28) in adolescents relative to adults or children.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Cohen et al. (2010)
In the citing paper
“decision value (i.e., the value assigned to each potential choice (Kahneman and Tversky, 1979)) during the selection stage was associated with a linear decrease in inferior medial PFC activation with age (MNI 0, 50, −8).”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Cohen et al. (2010)
In the citing paper
“behaviorally, the estimated learning rate did not differ across age-groups.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Cohen et al. (2010)
In the citing paper
“during positive feedback stage, stronger striatal activation (Cohen et al., 2010), and during negative feedback, weaker OFC activation (Van Leijenhorst et al., 2006), emerged in adolescents compared to adults.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Cohen et al., 2010
In the citing paper
“This was also the case when the test consisted of the learning of values (Cohen et al., 2010).”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Cohen et al., 2010
In the citing paper
“This finding is similar to other studies that demonstrated an “inverted U” in brain function across development, and highlights the peak in reward sensitivity in adolescence (Cohen et al., 2010; Somerville et al., 2010; van Leijenhorst et al., 2009; van Leijenhorst et al., 2010).”
From Developmental changes in brain function underlying the influence of reward processing on inhibitory control (2011) · cites this paper as Cohen et al., 2010
In the citing paper
“In contrast to the sometimes attenuated fMRI activation seen in the ventral striatum among adolescents when anticipating rewards, adolescents have been reported by a number of groups to show heightened activation of the ventral striatum during receipt of rewards relative to younger and/or older individuals (Ernst et al, 2005a; Galvan et al, 2006; Cohen et al, 2010; van Leijenhorst et al, 2010a,b)”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Cohen et al, 2010
In the citing paper
“tasks involving rewards appear to be particularly arousing during adolescence, with adolescents reported to show particularly marked increases in attention and shorter reaction times under rewarding than less rewarding conditions – a difference that is more prominent than at other ages”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Cohen et al, 2010
In the citing paper
“adolescents have been reported by a number of groups to show heightened activation of the ventral striatum during receipt of rewards relative to younger and/or older individuals (Ernst et al, 2005a; Galvan et al, 2006; Cohen et al, 2010; van Leijenhorst et al, 2010a,b)”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Cohen et al, 2010
In the citing paper
“tasks involving rewards appear to be particularly arousing during adolescence, with adolescents reported to show particularly marked increases in attention and shorter reaction times under rewarding than less rewarding conditions – a difference that is more prominent than at other ages (Jazbec et al, 2006; Hardin et al, 2007; Cohen et al, 2010; Smith et al, 2011).”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Cohen et al, 2010
In the citing paper
“Functional MRI studies provide limited supportive evidence that, relative to children, adolescents show increased responses in regions of the brain’s reward system when they anticipate or receive rewards or view rewarding stimuli (Cohen et al., 2010; Galvan, Hare, Parra, Penn, Voss, et al., 2006; Somerville, Hare, & Casey, 2010; van Leijenhorst, Zannoli, VanMeel, Westerberg, Rombouts, & Crone, 201”
From Incentive Motivation, Cognitive Control, and the Adolescent Brain: Is It Time for a Paradigm Shift? (2012) · cites this paper as Cohen et al., 2010
In the citing paper
“Examinations of probabilistic learning from positive and negative feedback suggest age-related changes in the processing of predicted rewards (Cohen, Asarnow, Sabb, Bilder, Bookheimer, Knowlton, & Poldrack 2010).”
From Incentive Motivation, Cognitive Control, and the Adolescent Brain: Is It Time for a Paradigm Shift? (2012) · cites this paper as Cohen, Asarnow, Sabb, Bilder, Bookheimer, Knowlton, & Poldrack 2010
In the citing paper
“Variability in these studies may be related to aspects of study design, including the real-world motivational salience of rewards offered (Nelson et al., 2005; Vrtička et al., 2014) and the relative amounts of punishment and reward in the task (Cohen et al., 2010; Davidson et al., 2006; van den Bos et al., 2012; van der Schaaf et al., 2011; van Duijvenvoorde et al., 2008).”
From Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex? (2017) · cites this paper as Cohen et al., 2010
In the citing paper
“Findings from discrete studies have suggested relative peaks in limbic and striatal activation in adolescents during reward processing and reward-based learning (c.f., Galvan et al., 2006; Cohen et al., 2010) but these findings are not definitive.”
From Neural networks involved in adolescent reward processing: an activation likelihood estimation meta-analysis of functional neuroimaging studies (2015) · cites this paper as Cohen et al., 2010
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Metadata
- Authors
- Cohen, J. R., Asarnow, R. F., Sabb, F. W., Bilder, R. M., Bookheimer, S. Y., Knowlton, B. J., & Poldrack, R. A.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Cohen, Jessica R
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2010-05-16
- Volume
- 13
- Issue
- 6
- Pages
- 669-671
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC2876211
- OpenAlex
- W2067543592
- Cited by
- 285
- References
- 16
- Citations by year
- 2026: 1 · 2025: 11 · 2024: 14 · 2023: 10 · 2022: 14 · 2021: 15 · 2020: 20 · 2019: 12 · 2018: 28 · 2017: 20 · 2016: 26 · 2015: 17 · 2014: 33 · 2013: 24 · 2012: 16
- FWCI
- 12.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (R24MH072697)
- National Institute on Drug Abuse (F31DA024534)
- 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 › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- adolescence, reward prediction error, striatum, reward seeking, decision value, reward processing
- MeSH terms
- Adolescent, Adult, Aging, Brain, Brain Mapping, Child, Corpus Striatum, Decision Making, Female, Humans, Magnetic Resonance Imaging, Male, Mental Processes, Probability Learning, Reaction Time, Reward, Feedback, Psychological, Adolescent Development, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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