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Avalanche criticality in individuals, fluid intelligence, and working memory

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Xu, Longzhou, Feng, Jianfeng and Yu, Lianchun (2022) Avalanche criticality in individuals, fluid intelligence, and working memory. Human Brain Mapping . doi:10.1002/hbm.25802 (In Press)

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Official URL: https://doi.org/10.1002/hbm.25802

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Abstract

The critical brain hypothesis suggests that efficient neural computation can be achieved through critical brain dynamics. However, the relationship between human cognitive performance and scale‐free brain dynamics remains unclear. In this study, we investigated the whole‐brain avalanche activity and its individual variability in the human resting‐state functional magnetic resonance imaging (fMRI) data. We showed that though the group‐level analysis was inaccurate because of individual variability, the subject wise scale‐free avalanche activity was significantly associated with maximal synchronization entropy of their brain activity. Meanwhile, the complexity of functional connectivity, as well as structure–function coupling, is maximized in subjects with maximal synchronization entropy. We also observed order–disorder phase transitions in resting‐state brain dynamics and found that there were longer times spent in the subcritical regime. These results imply that large‐scale brain dynamics favor the slightly subcritical regime of phase transition. Finally, we showed evidence that the neural dynamics of human participants with higher fluid intelligence and working memory scores are closer to criticality. We identified brain regions whose critical dynamics showed significant positive correlations with fluid intelligence performance and found that these regions were located in the prefrontal cortex and inferior parietal cortex, which were believed to be important nodes of brain networks underlying human intelligence. Our results reveal the possible role that avalanche criticality plays in cognitive performance and provide a simple method to identify the critical point and map cortical states on a spectrum of neural dynamics, ranging from subcriticality to supercriticality.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Q Science > QP Physiology
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Natural computation, Neurobiology , Cognitive science , Brain, Brain -- Imaging
Journal or Publication Title: Human Brain Mapping
Publisher: John Wiley and Sons
ISSN: 1065-9471
Official Date: 11 February 2022
Dates:
DateEvent
11 February 2022Available
23 January 2022Accepted
DOI: 10.1002/hbm.25802
Status: Peer Reviewed
Publication Status: In Press
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
lzujbky-2021-62Fundamental Research Funds for the Central Universitieshttp://dx.doi.org/10.13039/501100012226
12047501[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
B18015Higher Education Discipline Innovation Projecthttp://dx.doi.org/10.13039/501100013314
2018YFC1312904National Key Research and Development Program of ChinaUNSPECIFIED
2019YFA0709502National Key Research and Development Program of ChinaUNSPECIFIED
2018SHZDZX01Science and Technology Commission of Shanghai Municipalityhttp://dx.doi.org/10.13039/501100003399
UNSPECIFIEDShanghai Research Center for Brain Science and Brain-Inspired Intelligencehttp://www.sklec.ecnu.edu.cn/
UNSPECIFIEDZheijianglabhttp://cg.zhejianglab.com

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