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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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Genre: Zeitschriftenartikel

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 Urheber:
Zhang, Heming1, Autor
Zhao, Rong1, Autor
Hu, Xin1, Autor
Guan, Sihai2, Autor
Margulies, Daniel S.3, Autor                 
Meng, Chun1, Autor
Biswal, Bharat B.1, 4, Autor
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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Schlagwörter: Cognitive load; Functional gradient; Timescale; Working memory
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2022-02-202022-08-292022-09-132022-11
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/s00429-022-02564-0
Anderer: epub 2022
PMID: 36098843
 Art des Abschluß: -

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Projektname : -
Grant ID : 62171101; 62071109
Förderprogramm : -
Förderorganisation : National Natural Science Foundation of China (NSFC)

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Titel: Brain Structure & Function
  Kurztitel : Brain Struct Funct
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Berlin : Springer
Seiten: - Band / Heft: 227 (8) Artikelnummer: - Start- / Endseite: 2701 - 2712 Identifikator: ISSN: 1863-2653
CoNE: https://pure.mpg.de/cone/journals/resource/1863-2653