Literature DB >> 24564463

The neural coding of feedback learning across child and adolescent development.

Sabine Peters1, Barbara R Braams, Maartje E J Raijmakers, P Cédric M P Koolschijn, Eveline A Crone.   

Abstract

The ability to learn from environmental cues is an important contributor to successful performance in a variety of settings, including school. Despite the progress in unraveling the neural correlates of cognitive control in childhood and adolescence, relatively little is known about how these brain regions contribute to learning. In this study, 268 participants aged 8-25 years performed a rule-learning task with performance feedback in a 3T MRI scanner. We examined the development of the frontoparietal network during feedback learning by exploring contributions of age and pubertal development. The pFC showed more activation following negative compared with positive feedback with increasing age. In contrast, our data suggested that the parietal cortex demonstrated a shift from sensitivity to positive feedback in young children to negative feedback in adolescents and adults. These findings were interpreted in terms of separable contributions of the frontoparietal network in childhood to more integrated functions in adulthood. Puberty (testosterone, estradiol, and self-report) did not explain additional variance in neural activation patterns above age, suggesting that development of the frontoparietal network occurs relatively independently from hormonal development. This study presents novel insights into the development of learning, moving beyond a simple frontoparietal immaturity hypothesis.

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Year:  2014        PMID: 24564463     DOI: 10.1162/jocn_a_00594

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  23 in total

1.  Genetic influences on functional connectivity associated with feedback processing and prediction error: Phase coupling of theta-band oscillations in twins.

Authors:  Şükrü Barış Demiral; Simon Golosheykin; Andrey P Anokhin
Journal:  Int J Psychophysiol       Date:  2016-12-31       Impact factor: 2.997

2.  Short fused? associations between white matter connections, sex steroids, and aggression across adolescence.

Authors:  Jiska S Peper; Marcel A de Reus; Martijn P van den Heuvel; Dennis J L G Schutter
Journal:  Hum Brain Mapp       Date:  2014-10-31       Impact factor: 5.038

3.  Neural correlates of expected risks and returns in risky choice across development.

Authors:  Anna C K van Duijvenvoorde; Hilde M Huizenga; Leah H Somerville; Mauricio R Delgado; Alisa Powers; Wouter D Weeda; B J Casey; Elke U Weber; Bernd Figner
Journal:  J Neurosci       Date:  2015-01-28       Impact factor: 6.167

4.  Not Doomed to Repeat: Enhanced Medial Prefrontal Cortex Tracking of Errors Promotes Adaptive Behavior during Adolescence.

Authors:  Ethan M McCormick; Eva H Telzer
Journal:  J Cogn Neurosci       Date:  2017-11-13       Impact factor: 3.225

5.  Experiential reward learning outweighs instruction prior to adulthood.

Authors:  Johannes H Decker; Frederico S Lourenco; Bradley B Doll; Catherine A Hartley
Journal:  Cogn Affect Behav Neurosci       Date:  2015-06       Impact factor: 3.282

Review 6.  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

7.  Neural correlates of prosocial peer influence on public goods game donations during adolescence.

Authors:  Jorien Van Hoorn; Eric Van Dijk; Berna Güroğlu; Eveline A Crone
Journal:  Soc Cogn Affect Neurosci       Date:  2016-02-09       Impact factor: 3.436

Review 8.  Puberty and the human brain: Insights into adolescent development.

Authors:  Nandita Vijayakumar; Zdena Op de Macks; Elizabeth A Shirtcliff; Jennifer H Pfeifer
Journal:  Neurosci Biobehav Rev       Date:  2018-07-01       Impact factor: 8.989

9.  Time-frequency approaches to investigating changes in feedback processing during childhood and adolescence.

Authors:  M E Bowers; G A Buzzell; E M Bernat; N A Fox; T V Barker
Journal:  Psychophysiology       Date:  2018-08-15       Impact factor: 4.016

10.  Neural Correlates of Success and Failure Signals During Neurofeedback Learning.

Authors:  Joaquim Radua; Teodora Stoica; Dustin Scheinost; Christopher Pittenger; Michelle Hampson
Journal:  Neuroscience       Date:  2016-04-05       Impact factor: 3.590

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