Literature DB >> 26471057

Distinct contributions of lateral orbito-frontal cortex, striatum, and fronto-parietal network regions for rule encoding and control of memory-based implementation during instructed reversal learning.

Hannes Ruge1, Uta Wolfensteller2.   

Abstract

A key element of behavioral flexibility is to quickly learn to modify or reverse previously acquired stimulus-response associations. Such reversal learning (RL) can either be driven by feedback or by explicit instruction, informing either retrospectively or prospectively about the changed response requirements. Neuroimaging studies have thus far exclusively focused either on feedback-driven RL or on instructed initial learning of novel rules. The present study examined the neural basis of instructed RL as compared to instructed initial learning, separately assessing reversal-related instruction-based encoding processes and reversal-related control processes required for implementing reversed rules under competition from the initially learned rules. We found that instructed RL is partly supported by similar regions as feedback-driven RL, including lateral orbitofrontal cortex (lOFC) and anterior dorsal caudate. Encoding-related activation in both regions determined resilience against response competition during subsequent memory-based reversal implementation. Different from feedback-driven RL, instruction-based RL relied heavily on the generic fronto-parietal cognitive control network--not for encoding but for reversal-related control processes during memory-based implementation. These findings are consistent with a model of partly decoupled, yet interacting, systems of (i) symbolic rule representations that are instantaneously updated upon instruction and (ii) pragmatic representations of reward-associated S-R links mediating the enduring competition from initially learned rules.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Cognitive control; Goal neglect; Instruction; Working memory; fMRI

Mesh:

Year:  2015        PMID: 26471057     DOI: 10.1016/j.neuroimage.2015.10.005

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Orbitofrontal and caudate volumes in cannabis users: a multi-site mega-analysis comparing dependent versus non-dependent users.

Authors:  Yann Chye; Nadia Solowij; Chao Suo; Albert Batalla; Janna Cousijn; Anna E Goudriaan; Rocio Martin-Santos; Sarah Whittle; Valentina Lorenzetti; Murat Yücel
Journal:  Psychopharmacology (Berl)       Date:  2017-04-01       Impact factor: 4.530

2.  When global rule reversal meets local task switching: The neural mechanisms of coordinated behavioral adaptation to instructed multi-level demand changes.

Authors:  Yiquan Shi; Uta Wolfensteller; Torsten Schubert; Hannes Ruge
Journal:  Hum Brain Mapp       Date:  2017-11-02       Impact factor: 5.038

3.  Deterministic response strategies in a trial-and-error learning task.

Authors:  Holger Mohr; Katharina Zwosta; Dimitrije Markovic; Sebastian Bitzer; Uta Wolfensteller; Hannes Ruge
Journal:  PLoS Comput Biol       Date:  2018-11-29       Impact factor: 4.475

4.  Functional connectivity reveals dissociable ventrolateral prefrontal mechanisms for the control of multilingual word retrieval.

Authors:  Francesca M Branzi; Clara D Martin; Manuel Carreiras; Pedro M Paz-Alonso
Journal:  Hum Brain Mapp       Date:  2019-09-13       Impact factor: 5.038

5.  Psychological intervention with working memory training increases basal ganglia volume: A VBM study of inpatient treatment for methamphetamine use.

Authors:  S J Brooks; K H Burch; S A Maiorana; E Cocolas; H B Schioth; E K Nilsson; K Kamaloodien; D J Stein
Journal:  Neuroimage Clin       Date:  2016-08-24       Impact factor: 4.881

  5 in total

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