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  Cortical connectivity gradients and local timescales during cognitive states are modulated by cognitive loads

Zhang, H., Zhao, R., Hu, X., Guan, S., Margulies, D. S., Meng, C., et al. (2022). Cortical connectivity gradients and local timescales during cognitive states are modulated by cognitive loads. Brain Structure & Function, 227(8), 2701-2712. doi:10.1007/s00429-022-02564-0.

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 Creators:
Zhang, Heming1, Author
Zhao, Rong1, Author
Hu, Xin1, Author
Guan, Sihai2, Author
Margulies, Daniel S.3, Author                 
Meng, Chun1, Author
Biswal, Bharat B.1, 4, Author
Affiliations:
1Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China, ou_persistent22              
2Key Laboratory of Electronic and Information Engineering, College of Electronic and Information, Southwest Minzu University, Chengdu, China, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA, ou_persistent22              

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Free keywords: Cognitive load; Functional gradient; Timescale; Working memory
 Abstract: Although resting-state fMRI studies support that human brain is topographically organized regarding localized and distributed processes, it is still unclear about the task-modulated cortical hierarchy in terms of distributed functional connectivity and localized timescales. To address, current study investigated the effect of cognitive load on cortical connectivity gradients and local timescales in the healthy brain using resting state fMRI as well as 1- and 2-back working memory task fMRI. The results demonstrated that (1) increased cognitive load was associated with lower principal gradient in transmodal cortices, higher principal gradient in primary cortices, decreased decay rate and reduced timescale variability; (2) global properties including gradient variability, timescale decay rate, timescale variability and network topology were all modulated by cognitive load, with timescale variability related to behavioral performance; and (3) at 2-back state, the timescale variability was indirectly and negatively linked with global network integration, which was mediated by gradient variability. In conclusion, current study provides novel evidence for load-modulated cortical connectivity gradients and local timescales during cognitive states, which could contribute to better understanding about cognitive load theory and brain disorders with cognitive dysfunction.

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Language(s): eng - English
 Dates: 2022-02-202022-08-292022-09-132022-11
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s00429-022-02564-0
Other: epub 2022
PMID: 36098843
 Degree: -

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Project name : -
Grant ID : 62171101, 62071109
Funding program : -
Funding organization : National Natural Science Foundation of China (NSFC)

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Title: Brain Structure & Function
  Abbreviation : Brain Struct Funct
Source Genre: Journal
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Affiliations:
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: 227 (8) Sequence Number: - Start / End Page: 2701 - 2712 Identifier: ISSN: 1863-2653
CoNE: https://pure.mpg.de/cone/journals/resource/1863-2653