Literature DB >> 32734281

Supramodal Mechanisms of the Cognitive Control Network in Uncertainty Processing.

Tingting Wu1, Alfredo Spagna2, Chao Chen3, Kurt P Schulz4, Patrick R Hof5,6, Jin Fan1.   

Abstract

Information processing under conditions of uncertainty requires the involvement of cognitive control. Despite behavioral evidence of the supramodal function (i.e., independent of sensory modality) of cognitive control, the underlying neural mechanism needs to be directly tested. This study used functional magnetic imaging together with visual and auditory perceptual decision-making tasks to examine brain activation as a function of uncertainty in the two stimulus modalities. The results revealed a monotonic increase in activation in the cortical regions of the cognitive control network (CCN) as a function of uncertainty in the visual and auditory modalities. The intrinsic connectivity between the CCN and sensory regions was similar for the visual and auditory modalities. Furthermore, multivariate patterns of activation in the CCN predicted the level of uncertainty within and across stimulus modalities. These findings suggest that the CCN implements cognitive control by processing uncertainty as abstract information independent of stimulus modality.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  cognitive control; cognitive control network; information theory; supramodal brain mechanisms; uncertainty

Mesh:

Year:  2020        PMID: 32734281      PMCID: PMC7645162          DOI: 10.1093/cercor/bhaa189

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  76 in total

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4.  Distinct brain networks for adaptive and stable task control in humans.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-18       Impact factor: 11.205

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6.  Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture.

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7.  Quantitative characterization of functional anatomical contributions to cognitive control under uncertainty.

Authors:  Jin Fan; Nicholas T Van Dam; Xiaosi Gu; Xun Liu; Hongbin Wang; Cheuk Y Tang; Patrick R Hof
Journal:  J Cogn Neurosci       Date:  2014-01-06       Impact factor: 3.225

Review 8.  Saliency, switching, attention and control: a network model of insula function.

Authors:  Vinod Menon; Lucina Q Uddin
Journal:  Brain Struct Funct       Date:  2010-05-29       Impact factor: 3.270

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Review 10.  Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations.

Authors:  Jonas T Kaplan; Kingson Man; Steven G Greening
Journal:  Front Hum Neurosci       Date:  2015-03-25       Impact factor: 3.169

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