Literature DB >> 28387585

Parsing the Roles of the Frontal Lobes and Basal Ganglia in Task Control Using Multivoxel Pattern Analysis.

Angie A Kehagia1, Rong Ye1, Dan W Joyce1, Orla M Doyle1, James B Rowe2,3, Trevor W Robbins2.   

Abstract

Cognitive control has traditionally been associated with pFC based on observations of deficits in patients with frontal lesions. However, evidence from patients with Parkinson disease indicates that subcortical regions also contribute to control under certain conditions. We scanned 17 healthy volunteers while they performed a task-switching paradigm that previously dissociated performance deficits arising from frontal lesions in comparison with Parkinson disease, as a function of the abstraction of the rules that are switched. From a multivoxel pattern analysis by Gaussian Process Classification, we then estimated the forward (generative) model to infer regional patterns of activity that predict Switch/Repeat behavior between rule conditions. At 1000 permutations, Switch/Repeat classification accuracy for concrete rules was significant in the BG, but at chance in the frontal lobe. The inverse pattern was obtained for abstract rules, whereby the conditions were successfully discriminated in the frontal lobe but not in the BG. This double dissociation highlights the difference between cortical and subcortical contributions to cognitive control and demonstrates the utility of multivariate approaches in investigations of functions that rely on distributed and overlapping neural substrates.

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Year:  2017        PMID: 28387585      PMCID: PMC5572622          DOI: 10.1162/jocn_a_01130

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


  61 in total

Review 1.  The basal ganglia: a vertebrate solution to the selection problem?

Authors:  P Redgrave; T J Prescott; K Gurney
Journal:  Neuroscience       Date:  1999       Impact factor: 3.590

2.  Who comes first? The role of the prefrontal and parietal cortex in cognitive control.

Authors:  Marcel Brass; Markus Ullsperger; Thomas R Knoesche; D Yves von Cramon; Natalie A Phillips
Journal:  J Cogn Neurosci       Date:  2005-09       Impact factor: 3.225

Review 3.  Banishing the homunculus: making working memory work.

Authors:  T E Hazy; M J Frank; R C O'Reilly
Journal:  Neuroscience       Date:  2005-12-15       Impact factor: 3.590

4.  A comparison of abstract rules in the prefrontal cortex, premotor cortex, inferior temporal cortex, and striatum.

Authors:  Rahmat Muhammad; Jonathan D Wallis; Earl K Miller
Journal:  J Cogn Neurosci       Date:  2006-06       Impact factor: 3.225

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Authors:  H Niki; M Watanabe
Journal:  Brain Res       Date:  1976-03-19       Impact factor: 3.252

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Authors:  R E Passingham
Journal:  Brain Behav Evol       Date:  1973       Impact factor: 1.808

7.  Common and distinct mechanisms of cognitive flexibility in prefrontal cortex.

Authors:  Chobok Kim; Nathan F Johnson; Sara E Cilles; Brian T Gold
Journal:  J Neurosci       Date:  2011-03-30       Impact factor: 6.167

Review 8.  Learning and cognitive flexibility: frontostriatal function and monoaminergic modulation.

Authors:  Angie A Kehagia; Graham K Murray; Trevor W Robbins
Journal:  Curr Opin Neurobiol       Date:  2010-02-16       Impact factor: 6.627

9.  Opponent actor learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive.

Authors:  Anne G E Collins; Michael J Frank
Journal:  Psychol Rev       Date:  2014-07       Impact factor: 8.934

10.  Switching between abstract rules reflects disease severity but not dopaminergic status in Parkinson's disease.

Authors:  Angie A Kehagia; Roshan Cools; Roger A Barker; Trevor W Robbins
Journal:  Neuropsychologia       Date:  2009-01-08       Impact factor: 3.139

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  1 in total

1.  Area 8A within the Posterior Middle Frontal Gyrus Underlies Cognitive Selection between Competing Visual Targets.

Authors:  Jürgen Germann; Michael Petrides
Journal:  eNeuro       Date:  2020-09-08
  1 in total

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