Literature DB >> 22436570

Distinct linear and non-linear trajectories of reward and punishment reversal learning during development: relevance for dopamine's role in adolescent decision making.

Marieke E van der Schaaf1, Eveline Warmerdam, Eveline A Crone, Roshan Cools.   

Abstract

Abnormalities in value-based decision making during adolescence have often been attributed to non-linear, inverted-U shaped development of reward-related processes. This hypothesis is strengthened by functional imaging work revealing an inverted-U shaped relationship between age and reward-related activity in the striatum. However, behavioural studies have mostly reported linear rather than non-linear increases in reward-related performance. In the present study, we investigated the mechanisms underlying the development of reward- and punishment-related processing across four age groups using a reversal learning task previously shown to depend on striatal dopamine. We demonstrate both linear and non-linear age effects on distinct components of reversal learning. Specifically, results revealed a linear shift with age in terms of valence-dependent reversal learning, with children exhibiting better punishment than reward reversal learning, adults exhibiting better reward than punishment reversal learning and adolescents exhibiting an intermediate performance pattern. In addition, we also observed a non-linear, inverted-U shaped relationship between age and valence-independent reversal learning, which was due to aberrant ability of adolescents to update behaviour in response to negative performance feedback. These findings indicate that the (linear or nonlinear) nature of the relationship between age and reward learning depends on the type of reward learning under study.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22436570     DOI: 10.1016/j.dcn.2011.06.007

Source DB:  PubMed          Journal:  Dev Cogn Neurosci        ISSN: 1878-9293            Impact factor:   6.464


  28 in total

Review 1.  Developmental perspectives on risky and impulsive choice.

Authors:  Gail M Rosenbaum; Catherine A Hartley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-02-18       Impact factor: 6.237

2.  Neural Variability Limits Adolescent Skill Learning.

Authors:  Melissa L Caras; Dan H Sanes
Journal:  J Neurosci       Date:  2019-02-12       Impact factor: 6.167

3.  Reinforcement Learning during Adolescence in Rats.

Authors:  Neema Moin Afshar; Alex J Keip; Jane R Taylor; Daeyeol Lee; Stephanie M Groman
Journal:  J Neurosci       Date:  2020-06-29       Impact factor: 6.167

4.  Human development of the ability to learn from bad news.

Authors:  Christina Moutsiana; Neil Garrett; Richard C Clarke; R Beau Lotto; Sarah-Jayne Blakemore; Tali Sharot
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-09       Impact factor: 11.205

Review 5.  Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex?

Authors:  David J Piekarski; Carolyn M Johnson; Josiah R Boivin; A Wren Thomas; Wan Chen Lin; Kristen Delevich; Ezequiel M Galarce; Linda Wilbrecht
Journal:  Brain Res       Date:  2016-08-31       Impact factor: 3.252

6.  Failure to retreat: Blunted sensitivity to negative feedback supports risky behavior in adolescents.

Authors:  Ethan M McCormick; Eva H Telzer
Journal:  Neuroimage       Date:  2016-12-16       Impact factor: 6.556

Review 7.  Importance of investing in adolescence from a developmental science perspective.

Authors:  Ronald E Dahl; Nicholas B Allen; Linda Wilbrecht; Ahna Ballonoff Suleiman
Journal:  Nature       Date:  2018-02-21       Impact factor: 49.962

8.  Risky decision making from childhood through adulthood: Contributions of learning and sensitivity to negative feedback.

Authors:  Kathryn L Humphreys; Eva H Telzer; Jessica Flannery; Bonnie Goff; Laurel Gabard-Durnam; Dylan G Gee; Steve S Lee; Nim Tottenham
Journal:  Emotion       Date:  2015-09-21

Review 9.  The neural basis of reversal learning: An updated perspective.

Authors:  A Izquierdo; J L Brigman; A K Radke; P H Rudebeck; A Holmes
Journal:  Neuroscience       Date:  2016-03-12       Impact factor: 3.590

10.  Adolescents adapt more slowly than adults to varying reward contingencies.

Authors:  Amir Homayoun Javadi; Dirk H K Schmidt; Michael N Smolka
Journal:  J Cogn Neurosci       Date:  2014-06-24       Impact factor: 3.225

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