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Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N = 3,118.
Kang, Xiaopeng; Wang, Dawei; Lin, Jiaji; Yao, Hongxiang; Zhao, Kun; Song, Chengyuan; Chen, Pindong; Qu, Yida; Yang, Hongwei; Zhang, Zengqiang; Zhou, Bo; Han, Tong; Liao, Zhengluan; Chen, Yan; Lu, Jie; Yu, Chunshui; Wang, Pan; Zhang, Xinqing; Li, Ming; Zhang, Xi; Jiang, Tianzi; Zhou, Yuying; Liu, Bing; Han, Ying; Liu, Yong.
Affiliation
  • Kang X; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Wang D; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
  • Lin J; Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, 250063, China.
  • Yao H; Department of Neurology, the Second Affiliated Hospital of Air Force Medical University, Xi'an, 710032, China.
  • Zhao K; Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
  • Song C; Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
  • Chen P; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100191, China.
  • Qu Y; Department of Neurology, Qilu Hospital of Shandong University, Ji'nan, 250063, China.
  • Yang H; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Zhang Z; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
  • Zhou B; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Han T; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
  • Liao Z; Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
  • Chen Y; Branch of Chinese, PLA General Hospital, Sanya, 572013, China.
  • Lu J; Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
  • Yu C; Department of Radiology, Tianjin Huanhu Hospital, Tianjin, 300222, China.
  • Wang P; Department of Psychiatry, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
  • Zhang X; Department of Psychiatry, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
  • Li M; Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
  • Zhang X; Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300070, China.
  • Jiang T; Department of Neurology, Tianjin Huanhu Hospital, Tianjin, 300222, China.
  • Zhou Y; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
  • Liu B; Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
  • Han Y; Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
  • Liu Y; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Neurosci Bull ; 40(9): 1274-1286, 2024 Sep.
Article in En | MEDLINE | ID: mdl-38824231
ABSTRACT
The current study aimed to evaluate the susceptibility to regional brain atrophy and its biological mechanism in Alzheimer's disease (AD). We conducted data-driven meta-analyses to combine 3,118 structural magnetic resonance images from three datasets to obtain robust atrophy patterns. Then we introduced a set of radiogenomic analyses to investigate the biological basis of the atrophy patterns in AD. Our results showed that the hippocampus and amygdala exhibit the most severe atrophy, followed by the temporal, frontal, and occipital lobes in mild cognitive impairment (MCI) and AD. The extent of atrophy in MCI was less severe than that in AD. A series of biological processes related to the glutamate signaling pathway, cellular stress response, and synapse structure and function were investigated through gene set enrichment analysis. Our study contributes to understanding the manifestations of atrophy and a deeper understanding of the pathophysiological processes that contribute to atrophy, providing new insight for further clinical research on AD.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrophy / Brain / Magnetic Resonance Imaging / Alzheimer Disease / Neuroimaging / Cognitive Dysfunction Limits: Humans Language: En Journal: Neurosci Bull Journal subject: NEUROLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrophy / Brain / Magnetic Resonance Imaging / Alzheimer Disease / Neuroimaging / Cognitive Dysfunction Limits: Humans Language: En Journal: Neurosci Bull Journal subject: NEUROLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: