fMRI signals in white matter rewire gray matter community organization

被引:0
作者
Wang, Luyao [1 ]
Xu, Huanyu [2 ]
Song, Ziyan [1 ]
Wang, Huanxin [1 ]
Hu, Wenjing [1 ]
Gao, Yiwen [1 ]
Zhang, Zhilin [3 ]
Jiang, Jiehui [1 ]
机构
[1] Shanghai Univ, Inst Biomed Engn, Sch Life Sci, Shanghai 200444, Peoples R China
[2] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China
[3] Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
基金
上海市科技启明星计划; 中国国家自然科学基金;
关键词
White matter; Edge-centric; Alzheimer's disease; Functional connectivity; Edge community; CORONA RADIATA; ALZHEIMERS-DISEASE; MOTOR FIBERS; BRAIN-STEM; DYSFUNCTION; IMPAIRMENT; CONNECTIVITY; DEGENERATION; DISORDER;
D O I
10.1016/j.neuroimage.2024.120763
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:13
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