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fMRI signals in white matter rewire gray matter community organization.
- Source :
-
NeuroImage [Neuroimage] 2024 Aug 15; Vol. 297, pp. 120763. Date of Electronic Publication: 2024 Jul 30. - Publication Year :
- 2024
-
Abstract
- Human brain gray matter (GM) has usually been clustered into multiple functional networks. The white matter (WM) fiber bundles are known to interconnect these networks simultaneously, engaging in numerous cognitive functions. However, the exact interconnections between GM and WM are still unclear, whether functional signals in WM rewires GM community organization remains to be explored. In this study, we divided brain functional connections into three types by using edge-centric method, including intra-GM, intra-WM and GM-WM connections, and calculated the edge community evaluation indexes for quantifying GM community engagement. The results showed that the involvement of WM significantly enhanced community entropy in the heteromodal system, while the sensory-attention system remained barely changed. In addition, delta community entropy showed a significant correlation with clinical cognitive scale. Our results suggested that WM rewired GM community organization, enhancing the community engagement of brain regions in the heteromodal system. This involvement was observed to be disrupted in disease groups. Our study revealed that considering the functional signals of GM and WM simultaneously could better understand the brain's functional organization.<br />Competing Interests: Declaration of competing interest The authors declare no potential conflicts of interest relevant to this article.<br /> (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Male
Female
Adult
Young Adult
Middle Aged
Nerve Net diagnostic imaging
Nerve Net physiology
Brain physiology
Brain diagnostic imaging
Aged
White Matter diagnostic imaging
White Matter physiology
Gray Matter diagnostic imaging
Gray Matter anatomy & histology
Gray Matter physiology
Magnetic Resonance Imaging
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 297
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 39084280
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2024.120763