| Longitudinal Study of Impaired Intra- and Inter-Network Brain Connectivity in Subjects at High Risk for Alzheimer's Disease | |
Zhan, Yafeng1,2; Ma, Jianhua1; Alexander-Bloch, Aaron F.3; Xu, Kaibin2,4 ; Cui, Yue2,4; Feng, Qianjin1; Jiang, Tianzi2,4,5,6; Liu, Yong2,4; Alzheimer's Dis Neuroimaging; Liu Yong
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| Source Publication | JOURNAL OF ALZHEIMERS DISEASE
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| 2016 | |
| Volume | 52Issue:3Pages:913-927 |
| Subtype | Article |
| Abstract | a; Alzheimer's disease (AD) is associated with abnormal resting-state network (RSN) architecture of the default mode network (DMN), the dorsal attention network (DAN), the executive control network (CON), the salience network (SAL), and the sensory-motor network (SMN). However, little is known about the disrupted intra- and inter-network architecture in mild cognitive impairment (MCI). Here, we employed a priori defined regions of interest to investigate the intra- and inter-network functional connectivity profiles of these RSNs in longitudinal participants, including normal controls (n = 23), participants with early MCI (n = 26), and participants with late MCI (n = 19). We found longitudinal alterations of functional connectivity within the DMN, where they were correlated with variation in cognitive ability. The SAL as well as the interaction between the DMN and the SAL were disrupted in MCI. Furthermore, our results demonstrate that longitudinal alterations of functional connectivity are more profound in earlier stages as opposed to later stages of the disease. The increased severity of cognitive impairment is associated with increasingly altered RSN connectivity patterns, suggesting that disruptions in functional connectivity may contribute to cognitive dysfunction and may represent a potential biomarker of impaired cognitive ability in MCI. Earlier prevention and treatment may help to delay disease progression to AD. |
| Keyword | Default Mode Network Early Mild Cognitive Impairment Late Mild Cognitive Impairment Resting-state Network Salience Network |
| WOS Headings | Science & Technology ; Life Sciences & Biomedicine |
| DOI | 10.3233/JAD-160008 |
| WOS Keyword | MILD COGNITIVE IMPAIRMENT ; DEFAULT-MODE NETWORK ; RESTING-STATE FMRI ; INTRINSIC FUNCTIONAL CONNECTIVITY ; NEUROIMAGING INITIATIVE PROGRESS ; SALIENCE NETWORK ; ASSOCIATION WORKGROUPS ; DISCONNECTION SYNDROME ; DIAGNOSTIC GUIDELINES ; NATIONAL INSTITUTE |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | Natural Science Foundation of China(81571062 ; Natural Science Foundation of Beijing(7152096) ; Youth Innovation Promotion Association CAS(2014119) ; Beijing Nova Program(Z1511000003150112) ; Open Project Program of the National Laboratory of Pattern Recognition(201407344) ; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant)(U01AG024904) ; DOD ADNI (Department of Defense)(W81XWH-12-2-0012) ; National Institute on Aging ; National Institute of Biomedical Imaging and Bioengineering ; AbbVie ; Alzheimer's Association ; Alzheimer's Drug Discovery Foundation ; Araclon Biotech ; BioClinica, Inc. ; Biogen ; Bristol-Myers Squibb Company ; CereSpir, Inc. ; Eisai Inc. ; Elan Pharmaceuticals, Inc. ; Eli Lilly and Company ; EuroImmun ; F.Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc. ; Fujirebio ; GE Healthcare ; IXICO Ltd. ; Janssen Alzheimer Immunotherapy Research & Development, LLC. ; Johnson & Johnson Pharmaceutical Research & Development LLC. ; Lumosity ; Lundbeck ; Merck Co., Inc. ; Meso Scale Diagnostics, LLC. ; NeuroRx Research ; Neurotrack Technologies ; Novartis Pharmaceuticals Corporation ; Pfizer Inc. ; Piramal Imaging ; Servier ; Takeda Pharmaceutical Company ; Transition Therapeutics ; Canadian Institutes of Health Research ; 81270020 ; 81471120 ; 81371544 ; 61305143) |
| WOS Research Area | Neurosciences & Neurology |
| WOS Subject | Neurosciences |
| WOS ID | WOS:000377137500013 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/11126 |
| Collection | 脑网络组研究 |
| Corresponding Author | Liu Yong |
| Affiliation | 1.Southern Med Univ, Sch Biomed Engn, Guangzhou 510515, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 3.Yale Univ, Sch Med, Dept Psychiat, New Haven, CT USA 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci, Beijing, Peoples R China 6.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Zhan, Yafeng,Ma, Jianhua,Alexander-Bloch, Aaron F.,et al. Longitudinal Study of Impaired Intra- and Inter-Network Brain Connectivity in Subjects at High Risk for Alzheimer's Disease[J]. JOURNAL OF ALZHEIMERS DISEASE,2016,52(3):913-927. |
| APA | Zhan, Yafeng.,Ma, Jianhua.,Alexander-Bloch, Aaron F..,Xu, Kaibin.,Cui, Yue.,...&Liu Yong.(2016).Longitudinal Study of Impaired Intra- and Inter-Network Brain Connectivity in Subjects at High Risk for Alzheimer's Disease.JOURNAL OF ALZHEIMERS DISEASE,52(3),913-927. |
| MLA | Zhan, Yafeng,et al."Longitudinal Study of Impaired Intra- and Inter-Network Brain Connectivity in Subjects at High Risk for Alzheimer's Disease".JOURNAL OF ALZHEIMERS DISEASE 52.3(2016):913-927. |
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| JAD160008.pdf（487KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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