Literature DB >> 31004627

Fractionating adaptive learning: A meta-analysis of the reversal learning paradigm.

Zachary A Yaple1, Rongjun Yu2.   

Abstract

In constantly changing environments, individuals need to overcome old habitual behaviors in order to learn new associations. Neuroimaging studies have focused on prediction errors, reversal errors and reversal switching in the reversal learning paradigm. Due to the inconsistencies of brain functioning across studies, we attempt to shed light on the concordant activity by performing meta-analyses on different components of reversal learning. While all contrasts yielded anterior cingulate and bilateral insulae, specifically prediction errors yielded more concordant activity within the striatum and amygdala, reversal errors yielded more concordant bilateral frontal-parietal activity, and more concordant inferior frontal cortical occurred from reversal switching. These findings suggest that reversal learning is supported by a core saliency network in all aspects of reversal learning as well as other reward and control related regions in distinct stages of this cognitively complex task. Our meta-analyses results provide stereotaxic maps that can be used for further neuroimaging work on adaptive learning.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Adaptation; FMRI; Flexibility; Prediction errors; Reversal errors; Reversal learning

Mesh:

Year:  2019        PMID: 31004627     DOI: 10.1016/j.neubiorev.2019.04.006

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  4 in total

1.  Dose-dependent effects of estrogen on prediction error related neural activity in the nucleus accumbens of healthy young women.

Authors:  Janine Bayer; Tessa Rusch; Lei Zhang; Jan Gläscher; Tobias Sommer
Journal:  Psychopharmacology (Berl)       Date:  2019-11-26       Impact factor: 4.530

2.  What do Reinforcement Learning Models Measure? Interpreting Model Parameters in Cognition and Neuroscience.

Authors:  Maria K Eckstein; Linda Wilbrecht; Anne G E Collins
Journal:  Curr Opin Behav Sci       Date:  2021-07-03

3.  Abnormal prediction error processing in schizophrenia and depression.

Authors:  Zachary Adam Yaple; Serenella Tolomeo; Rongjun Yu
Journal:  Hum Brain Mapp       Date:  2021-05-06       Impact factor: 5.038

4.  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 in total

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