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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
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 | |||||||||||||||||||||||||||
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| Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QP Physiology |
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| 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: |
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| DOI: | 10.1002/hbm.25802 | |||||||||||||||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||||||||||||||
| Publication Status: | In Press | |||||||||||||||||||||||||||
| Access rights to Published version: | Open Access | |||||||||||||||||||||||||||
| RIOXX Funder/Project Grant: |
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