Literature DB >> 28363106

Individual differences in the Simon effect are underpinned by differences in the competitive dynamics in the basal ganglia: An experimental verification and a computational model.

Andrea Stocco1, Nicole L Murray2, Brianna L Yamasaki3, Taylor J Renno4, Jimmy Nguyen5, Chantel S Prat6.   

Abstract

Cognitive control is thought to be made possible by the activity of the prefrontal cortex, which selectively uses task-specific representations to bias the selection of task-appropriate responses over more automated, but inappropriate, ones. Recent models have suggested, however, that prefrontal representations are in turn controlled by the basal ganglia. In particular, neurophysiological considerations suggest that the basal ganglia's indirect pathway plays a pivotal role in preventing irrelevant information from being incorporated into a task, thus reducing response interference due to the processing of inappropriate stimuli dimensions. Here, we test this hypothesis by showing that individual differences in a non-verbal cognitive control task (the Simon task) are correlated with performance on a decision-making task (the Probabilistic Stimulus Selection task) that tracks the contribution of the indirect pathway. Specifically, the higher the effect of the indirect pathway, the smaller was the behavioral costs associated with suppressing interference in incongruent trials. Additionally, it was found that this correlation was driven by individual differences in incongruent trials only (with little effect on congruent ones) and specific to the indirect pathway (with almost no correlation with the effect of the direct pathways). Finally, it is shown that this pattern of results is precisely what is predicted when competitive dynamics of the basal ganglia are added to the selective attention component of a simple model of the Simon task, thus showing that our experimental results can be fully explained by our initial hypothesis. Published by Elsevier B.V.

Keywords:  Basal ganglia; Cognitive control; Computational modeling; Prefrontal cortex; Selective attention

Mesh:

Year:  2017        PMID: 28363106     DOI: 10.1016/j.cognition.2017.03.001

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  5 in total

1.  Human performance across decision making, selective attention, and working memory tasks: Experimental data and computer simulations.

Authors:  Andrea Stocco; Brianna L Yamasaki; Chantel S Prat
Journal:  Data Brief       Date:  2018-02-21

2.  Recovering Reliable Idiographic Biological Parameters from Noisy Behavioral Data: the Case of Basal Ganglia Indices in the Probabilistic Selection Task.

Authors:  Yinan Xu; Andrea Stocco
Journal:  Comput Brain Behav       Date:  2021-03-24

3.  Control of response interference: caudate nucleus contributes to selective inhibition.

Authors:  Claudia C Schmidt; David C Timpert; Isabel Arend; Simone Vossel; Gereon R Fink; Avishai Henik; Peter H Weiss
Journal:  Sci Rep       Date:  2020-12-01       Impact factor: 4.379

4.  Preserved but Less Efficient Control of Response Interference After Unilateral Lesions of the Striatum.

Authors:  Claudia C Schmidt; David C Timpert; Isabel Arend; Simone Vossel; Anna Dovern; Jochen Saliger; Hans Karbe; Gereon R Fink; Avishai Henik; Peter H Weiss
Journal:  Front Hum Neurosci       Date:  2018-10-16       Impact factor: 3.169

5.  The impact of social anxiety on feedback-based go and nogo learning.

Authors:  Jutta Peterburs; Christine Albrecht; Christian Bellebaum
Journal:  Psychol Res       Date:  2021-02-01
  5 in total

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