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| Multiscale Functional Connectome Abnormality Predicts Cognitive Outcomes in Subcortical Ischemic Vascular Disease | |
| 2022-02 | |
| Source Publication | CEREBRAL CORTEX
 |
| ISSN | 1047-3211 |
| EISSN | 1460-2199 |
| Status | 已发表 |
| DOI | 10.1093/cercor/bhab507 |
| Abstract | 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. |
| Keyword | brain multiscale hierarchy functional connectivity network graph convolutional network mild cognitive impairment subcortical vascular cognitive impairment |
| URL | 查看原文 |
| Indexed By | SCI ; SCIE |
| Language | 英语 |
| Funding Project | 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 Research Area | Neurosciences & Neurology |
| WOS Subject | Neurosciences |
| WOS ID | WOS:000792136000001 |
| Publisher | OXFORD UNIV PRESS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/183447 |
| Collection | 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 |
| Corresponding Author | Zhou, Yan; Shen, Dinggang |
| Affiliation | 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 |
| First Author Affilication | School of Biomedical Engineering,ShanghaiTech University |
| Corresponding Author Affilication | School of Biomedical Engineering,ShanghaiTech University |
| First Signature Affilication | School of Biomedical Engineering,ShanghaiTech University |
| Recommended Citation 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). |
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