Literature DB >> 34998971

Lower resting brain entropy is associated with stronger task activation and deactivation.

Liandong Lin1, Da Chang2, Donghui Song2, Yiran Li3, Ze Wang4.   

Abstract

Brain entropy (BEN) calculated from resting state fMRI has been the subject of increasing research interest in recent years. Previous studies have shown the correlations between rest BEN and neurocognition and task performance, but how this relates to task-evoked brain activations and deactivations remains unknown. The purpose of this study is to address this open question using large data (n = 862). Voxel wise correlations were calculated between rest BEN and task activations/deactivations of five different tasks. For most of the assessed tasks, lower rest BEN was found to be associated with stronger activations (negative correlations) and stronger deactivations (positive correlations) only in brain regions activated or deactivated by the tasks. Higher workload evoked spatially more extended negative correlations between rest BEN and task activations. These results not only confirm that resting brain activity can predict brain activity during task performance but also for the first time show that resting brain activity may facilitate both task activations and deactivations. In addition, the results provide a clue to understanding the individual differences of task performance and brain activations.
Copyright © 2022. Published by Elsevier Inc.

Entities:  

Keywords:  BENtbx; Entropy; Resting state fMRI; Task; Task activation; Task deactivation; fMRI

Mesh:

Year:  2022        PMID: 34998971      PMCID: PMC8881863          DOI: 10.1016/j.neuroimage.2022.118875

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


  43 in total

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Authors:  Biyu J He
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Authors:  Thilo Womelsdorf; Pascal Fries; Partha P Mitra; Robert Desimone
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Authors:  Maarten Mennes; Xi-Nian Zuo; Clare Kelly; Adriana Di Martino; Yu-Feng Zang; Bharat Biswal; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2010-10-23       Impact factor: 6.556

5.  Altered Brain Entropy as a predictor of antidepressant response in major depressive disorder.

Authors:  Xiaoyun Liu; Donghui Song; Yingying Yin; Chunming Xie; Haisan Zhang; Hongxing Zhang; Zhijun Zhang; Ze Wang; Yonggui Yuan
Journal:  J Affect Disord       Date:  2019-09-18       Impact factor: 4.839

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Authors:  Xiao Liu; Xiao-Hong Zhu; Wei Chen
Journal:  Neuroimage       Date:  2010-10-08       Impact factor: 6.556

Review 7.  The WU-Minn Human Connectome Project: an overview.

Authors:  David C Van Essen; Stephen M Smith; Deanna M Barch; Timothy E J Behrens; Essa Yacoub; Kamil Ugurbil
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

8.  Neurobiologically realistic determinants of self-organized criticality in networks of spiking neurons.

Authors:  Mikail Rubinov; Olaf Sporns; Jean-Philippe Thivierge; Michael Breakspear
Journal:  PLoS Comput Biol       Date:  2011-06-02       Impact factor: 4.475

9.  Brain entropy mapping using fMRI.

Authors:  Ze Wang; Yin Li; Anna Rose Childress; John A Detre
Journal:  PLoS One       Date:  2014-03-21       Impact factor: 3.240

10.  Temporal coherence structure rapidly shapes neuronal interactions.

Authors:  Kai Lu; Yanbo Xu; Pingbo Yin; Andrew J Oxenham; Jonathan B Fritz; Shihab A Shamma
Journal:  Nat Commun       Date:  2017-01-05       Impact factor: 14.919

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