Multiscale Functional Connectome Abnormality Predicts Cognitive Outcomes in Subcortical Ischemic Vascular Disease

doi:10.1093/cercor/bhab507

	Multiscale Functional Connectome Abnormality Predicts Cognitive Outcomes in Subcortical Ischemic Vascular Disease
	Liu, Mianxin1 ; Wang, Yao 2; Zhang, Han1 ; Yang, Qing1 ; Shi, Feng 3; Zhou, Yan 2; Shen, Dinggang1,3
	2022-02
发表期刊	CEREBRAL CORTEX
ISSN	1047-3211
EISSN	1460-2199
发表状态	已发表
DOI	10.1093/cercor/bhab507
摘要	Subcortical ischemic vascular disease could induce subcortical vascular cognitive impairments (SVCIs), such as amnestic mild cognitive impairment (aMCI) and non-amnestic MCI (naMCI), or sometimes no cognitive impairment (NCI). Previous SVCI studies focused on focal structural lesions such as lacunes and microbleeds, while the functional connectivity networks (FCNs) from functional magnetic resonance imaging are drawing increasing attentions. Considering remarkable variations in structural lesion sizes, we expect that seeking abnormalities in the multiscale hierarchy of brain FCNs could be more informative to differentiate SVCI patients with varied outcomes (NCI, aMCI, and naMCI). Driven by this hypothesis, we first build FCNs based on the atlases at multiple spatial scales for group comparisons and found distributed FCN differences across different spatial scales. We then verify that combining multiscale features in a prediction model could improve differentiation accuracy among NCI, aMCI, and naMCI. Furthermore, we propose a graph convolutional network to integrate the naturally emerged multiscale features based on the brain network hierarchy, which significantly outperforms all other competing methods. In addition, the predictive features derived from our method consistently emphasize the limbic network in identifying aMCI across the different scales. The proposed analysis provides a better understanding of SVCI and may benefit its clinical diagnosis.
关键词	brain multiscale hierarchy functional connectivity network graph convolutional network mild cognitive impairment subcortical vascular cognitive impairment
URL	查看原文
收录类别	SCI ; SCIE
语种	英语
资助项目	National Natural Science Foundation of China[82171885,82001457,81901693,62131015] ; Science and Technology Commission of Shanghai Municipality (STCSM)[21010502600] ; National Key Scientific Instrument Development Program[82027808] ; Shanghai Science and Technology Committee Project["20ZR1433200","21T51400700"] ; Youth Medical Talents Medical Imaging Practitioner Program[SHWRS(2020)_087]
WOS研究方向	Neurosciences & Neurology
WOS类目	Neurosciences
WOS记录号	WOS:000792136000001
出版者	OXFORD UNIV PRESS INC
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/183447
专题	生物医学工程学院_PI研究组_张寒组生物医学工程学院_PI研究组_沈定刚组生物医学工程学院_公共科研平台_智能医学科研平台
通讯作者	Zhou, Yan; Shen, Dinggang
作者单位	1.ShanghaiTech Univ, Sch Biomed Engn, Shanghai 201210, Peoples R China 2.Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Dept Radiol, Shanghai 200127, Peoples R China 3.Shanghai United Imaging Intelligence Co Ltd, Dept Res & Dev, Shanghai 200232, Peoples R China
第一作者单位	生物医学工程学院
通讯作者单位	生物医学工程学院
第一作者的第一单位	生物医学工程学院
推荐引用方式 GB/T 7714	Liu, Mianxin,Wang, Yao,Zhang, Han,et al. Multiscale Functional Connectome Abnormality Predicts Cognitive Outcomes in Subcortical Ischemic Vascular Disease[J]. CEREBRAL CORTEX,2022.
APA	Liu, Mianxin.,Wang, Yao.,Zhang, Han.,Yang, Qing.,Shi, Feng.,...&Shen, Dinggang.(2022).Multiscale Functional Connectome Abnormality Predicts Cognitive Outcomes in Subcortical Ischemic Vascular Disease.CEREBRAL CORTEX.
MLA	Liu, Mianxin,et al."Multiscale Functional Connectome Abnormality Predicts Cognitive Outcomes in Subcortical Ischemic Vascular Disease".CEREBRAL CORTEX (2022).