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ASAF: altered spontaneous activity fingerprinting in Alzheimer's disease based on multisite fMRI

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机构: [a]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China [b]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China [c]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China [d]Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China [e]Department of Neurology, Qilu Hospital of Shandong University, Ji’nan 250012, China [f]Department of Neurology, Tianjin Huanhu Hospital, Tianjin 300350, China [g]Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China [h]Department of Radiology, Qilu Hospital, Ji’nan 250012, China [i]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China [j]Department of Radiology, Chinese PLA General Hospital, Beijing 100853, China [k]Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen 14000, France [l]Department of Radiology, Tianjin Huanhu Hospital, Tianjin 300350, China [m]Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China [n]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing 100053, China [o]Beijing Institute of Geriatrics, Beijing 100053, China [p]National Clinical Research Center for Geriatric Disorders, Beijing 100053, China
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关键词: Alzheimer's disease Biomarkers Brain spontaneous activity Leave-one-site-out cross-validation Multisite

摘要:
Several monocentric studies have noted alterations in spontaneous brain activity in Alzheimer's disease (AD), although there is no consensus on the altered amplitude of low-frequency fluctuations in AD patients. The main aim of the present study was to identify a reliable and reproducible abnormal brain activity pattern in AD. The amplitude of local brain activity (AM), which can provide fast mapping of spontaneous brain activity across the whole brain, was evaluated based on multisite rs-fMRI data for 688 subjects (215 normal controls (NCs), 221 amnestic mild cognitive impairment (aMCI) 252 AD). Two-sample t-tests were used to detect group differences between AD patients and NCs from the same site. Differences in the AM maps were statistically analyzed via the Stouffer's meta-analysis. Consistent regions of lower spontaneous brain activity in the default mode network and increased activity in the bilateral hippocampus/parahippocampus, thalamus, caudate nucleus, orbital part of the middle frontal gyrus and left fusiform were observed in the AD patients compared with those in NCs. Significant correlations (P < 0.05, Bonferroni corrected) between the normalized amplitude index and Mini-Mental State Examination scores were found in the identified brain regions, which indicates that the altered brain activity was associated with cognitive decline in the patients. Multivariate analysis and leave-one-site-out cross-validation led to a 78.49% prediction accuracy for single-patient classification. The altered activity patterns of the identified brain regions were largely correlated with the FDG-PET results from another independent study. These results emphasized the impaired brain activity to provide a robust and reproducible imaging signature of AD. © 2019 Science China Press

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大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
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大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
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Q1 MULTIDISCIPLINARY SCIENCES
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Q1 MULTIDISCIPLINARY SCIENCES

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第一作者机构: [a]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
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通讯机构: [a]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China [b]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China [c]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China [d]Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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