Literature DB >> 27628616

Reversal learning strategy in adolescence is associated with prefrontal cortex activation.

Rebecca Boehme1,2, Robert C Lorenz1,3, Tobias Gleich1,4, Lydia Romund1, Patricia Pelz1, Sabrina Golde1, Eva Flemming1, Andrew Wold2, Lorenz Deserno1,5,6, Joachim Behr1,7,8, Diana Raufelder9, Andreas Heinz1, Anne Beck1.   

Abstract

Adolescence is a critical maturation period for human cognitive control and executive function. In this study, a large sample of adolescents (n = 85) performed a reversal learning task during functional magnetic resonance imaging. We analyzed behavioral data using a reinforcement learning model to provide individually fitted parameters and imaging data with regard to reward prediction errors (PE). Following a model-based approach, we formed two groups depending on whether individuals tended to update expectations predominantly for the chosen stimulus or also for the unchosen one. These groups significantly differed in their problem behavior score obtained using the child behavior checklist (CBCL) and in a measure of their developmental stage. Imaging results showed that dorsolateral striatal areas covaried with PE. Participants who relied less on learning based on task structure showed less prefrontal activation compared with participants who relied more on task structure. An exploratory analysis revealed that PE-related activity was associated with pubertal development in prefrontal areas, insula and anterior cingulate. These findings support the hypothesis that the prefrontal cortex is implicated in mediating flexible goal-directed behavioral control.
© 2016 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  adolescents; prediction error; prefrontal cortex; reversal learning

Mesh:

Year:  2016        PMID: 27628616     DOI: 10.1111/ejn.13401

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  7 in total

1.  Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa.

Authors:  Marisa DeGuzman; Megan E Shott; Tony T Yang; Justin Riederer; Guido K W Frank
Journal:  Am J Psychiatry       Date:  2017-02-24       Impact factor: 18.112

2.  Meta-Analysis of the RDoC Social Processing Domain across Units of Analysis in Children and Adolescents.

Authors:  Tessa Clarkson; Erin Kang; Nicole Capriola-Hall; Matthew D Lerner; Johanna Jarcho; Mitchell J Prinstein
Journal:  J Clin Child Adolesc Psychol       Date:  2019-12-04

3.  Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal.

Authors:  Maria K Eckstein; Sarah L Master; Ronald E Dahl; Linda Wilbrecht; Anne G E Collins
Journal:  Dev Cogn Neurosci       Date:  2022-04-22       Impact factor: 5.811

4.  Sharpened self-other distinction in attention deficit hyperactivity disorder.

Authors:  Rebecca Boehme; Morgan Frost Karlsson; Markus Heilig; Håkan Olausson; Andrea Johansson Capusan
Journal:  Neuroimage Clin       Date:  2020-06-16       Impact factor: 4.881

5.  Distinction of self-produced touch and social touch at cortical and spinal cord levels.

Authors:  Rebecca Boehme; Steven Hauser; Gregory J Gerling; Markus Heilig; Håkan Olausson
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-22       Impact factor: 11.205

Review 6.  Reinforcement learning across development: What insights can we draw from a decade of research?

Authors:  Kate Nussenbaum; Catherine A Hartley
Journal:  Dev Cogn Neurosci       Date:  2019-11-06       Impact factor: 6.464

7.  Mindfulness for children with ADHD and Mindful Parenting (MindChamp): Protocol of a randomised controlled trial comparing a family Mindfulness-Based Intervention as an add-on to care-as-usual with care-as-usual only.

Authors:  Nienke M Siebelink; Susan M Bögels; Lisanne M Boerboom; Noor de Waal; Jan K Buitelaar; Anne E Speckens; Corina U Greven
Journal:  BMC Psychiatry       Date:  2018-07-25       Impact factor: 3.630

  7 in total

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