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Intrinsic connectivity identifies the sensory-motor network as a main cross-network between remitted late-life depression- and amnestic mild cognitive impairment-targeted networks

文献类型：期刊论文

作者Chen, Jiu1,2; Shu, Hao1; Wang, Zan1; Zhan, Yafeng3; Liu, Duan1; Liu, Yong3,4,5,6; Zhang, Zhijun1,7
刊名BRAIN IMAGING AND BEHAVIOR
出版日期2020-08-01
卷号14期号:4页码:1130-1142
关键词Remitted late-life depression Amnestic mild cognitive impairment Functional connectivity Sensory-motor network
ISSN号1931-7557
DOI10.1007/s11682-019-00098-4
通讯作者Liu, Yong(yliu@nlpr.ia.ac.cn) ; Zhang, Zhijun(janemengzhang@vip.163.com)
英文摘要Remitted late-life depression (rLLD) and amnestic mild cognitive impairment (aMCI) are both associated with a high risk of developing Alzheimer's disease (AD). Neurodegeneration is considered to spread within pre-existing networks. To investigate whether, in the healthy brain, there was a pre-existing cross-network between the intrinsic networks that are vulnerable to rLLD and aMCI. We performed functional connectivity analyses based on brain areas with the greatest brain neuronal activity differences in 55 rLLD, 87 aMCI, and 114 healthy controls. Intrinsic networks that were differentially vulnerable to rLLD and aMCI converged onto the sensory-motor network (SMN) in the healthy brain. These regions in the SMN within the aMCI- and rLLD-vulnerable networks played different roles in the cognitive functions. This study identifies the SMN as a cross-network between rLLD- and aMCI-vulnerable networks. The common susceptibility of these diseases to AD is likely due to the breakdown of the cross-network. The results further suggest that interventions targeting the amelioration of sensory-motor deficits in the early course of disease in individuals with AD risk may enhance patient function as AD pathology progresses.
WOS关键词DEFAULT-MODE NETWORK ; FUNCTIONAL CONNECTIVITY ; ALZHEIMERS-DISEASE ; GERIATRIC DEPRESSION ; HUMAN BRAIN ; CORTICAL HUBS ; DEMENTIA ; RISK ; CEREBELLUM ; PATTERNS
资助项目National Natural Science Foundation of China[81420108012] ; National Natural Science Foundation of China[81671046] ; National Natural Science Foundation of China[81871438] ; National Natural Science Foundation of China[81571062] ; National Natural Science Foundation of China[81701675] ; Disciplinary group of Psychology and Neuroscience, Xinxiang Medical University[2016PNKFKT-01] ; Chinese Academy of Sciences[XDB32020200] ; Medical Science and technology development Foundation, Nanjing Department of Health[JQX18005] ; Cooperative Research Project of Southeast University-Nanjing Medical University[2018DN0031] ; Key Research and Development Plan (Social Development) Project of Jiangsu Province[BE2018608]
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000552051500015
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Disciplinary group of Psychology and Neuroscience, Xinxiang Medical University ; Chinese Academy of Sciences ; Medical Science and technology development Foundation, Nanjing Department of Health ; Cooperative Research Project of Southeast University-Nanjing Medical University ; Key Research and Development Plan (Social Development) Project of Jiangsu Province
源URL[http://ir.ia.ac.cn/handle/173211/40221]  
专题自动化研究所_脑网络组研究中心
通讯作者Liu, Yong; Zhang, Zhijun
作者单位1.Southeast Univ, Affiliated ZhongDa Hosp, Sch Med, Dept Neurol, Nanjing 210009, Peoples R China
2.Nanjing Med Univ, Affiliated Brain Hosp, Inst Neuropsychiat, Nanjing 210029, Peoples R China
3.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
5.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China
6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
7.Xinxiang Med Univ, Dept Psychol, Xinxiang 453003, Henan, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Jiu,Shu, Hao,Wang, Zan,et al. Intrinsic connectivity identifies the sensory-motor network as a main cross-network between remitted late-life depression- and amnestic mild cognitive impairment-targeted networks[J]. BRAIN IMAGING AND BEHAVIOR,2020,14(4):1130-1142.
APA Chen, Jiu.,Shu, Hao.,Wang, Zan.,Zhan, Yafeng.,Liu, Duan.,...&Zhang, Zhijun.(2020).Intrinsic connectivity identifies the sensory-motor network as a main cross-network between remitted late-life depression- and amnestic mild cognitive impairment-targeted networks.BRAIN IMAGING AND BEHAVIOR,14(4),1130-1142.
MLA Chen, Jiu,et al."Intrinsic connectivity identifies the sensory-motor network as a main cross-network between remitted late-life depression- and amnestic mild cognitive impairment-targeted networks".BRAIN IMAGING AND BEHAVIOR 14.4(2020):1130-1142.

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来源：自动化研究所

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