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Altered global signal topography in Alzheimer's disease

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机构: [1]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [2]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China [3]School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China [4]Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China [5]Department of Neurology, Tianjin Huanhu Hospital Tianjin University, Tianjin, China [6]Department of Radiology, Qilu Hospital of Shandong University, Ji’nan, China [7]Department of Neurology, Qilu Hospital of Shandong University, Ji’nan, China [8]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China [9]Branch of Chinese PLA General Hospital, Sanya, China [10]Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China [11]Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China [12]Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China [13]Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China [14]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China [15]Beijing Institute of Geriatrics, Beijing, China [16]National Clinical Research Center for Geriatric Disorders, Beijing, China [17]State Key Laboratory of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China
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关键词: Alzheimer’s disease Global signal Transcriptomics Functional network

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Alzheimer's disease (AD) is a neurodegenerative disease associated with widespread disruptions in intrinsic local specialization and global integration in the functional system of the brain. These changes in integration may further disrupt the global signal (GS) distribution, which might represent the local relative contribution to global activity in functional magnetic resonance imaging (fMRI).fMRI scans from a discovery dataset (n = 809) and a validated dataset (n = 542) were used in the analysis. We investigated the alteration of GS topography using the GS correlation (GSCORR) in patients with mild cognitive impairment (MCI) and AD. The association between GS alterations and functional network properties was also investigated based on network theory. The underlying mechanism of GSCORR alterations was elucidated using imaging-transcriptomics.Significantly increased GS topography in the frontal lobe and decreased GS topography in the hippocampus, cingulate gyrus, caudate, and middle temporal gyrus were observed in patients with AD (Padj < 0.05). Notably, topographical GS changes in these regions correlated with cognitive ability (P < 0.05). The changes in GS topography also correlated with the changes in functional network segregation (ρ = 0.5). Moreover, the genes identified based on GS topographical changes were enriched in pathways associated with AD and neurodegenerative diseases.Our findings revealed significant changes in GS topography and its molecular basis, confirming the informative role of GS in AD and further contributing to the understanding of the relationship between global and local neuronal activities in patients with AD.Beijing Natural Science Funds for Distinguished Young Scholars, China; Fundamental Research Funds for the Central Universities, China; National Natural Science Foundation, China.Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

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出版当年[2022]版:
大类 | 1 区 医学
小类 | 1 区 医学:研究与实验
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大类 | 1 区 医学
小类 | 1 区 医学:研究与实验
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Q1 MEDICINE, RESEARCH & EXPERIMENTAL
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Q1 MEDICINE, RESEARCH & EXPERIMENTAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者机构: [1]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [2]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
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通讯机构: [1]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [2]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China [3]School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China [*1]School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
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