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.
基金：
Science and Technology Innovation [2022ZD0211600]; Fundamental Research Funds for the Central Universities [2021XD-A03]; National Natural Science Foundation of China [61633018, 81571062, 81400890, 81471120, 81701781, 81901101]; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]; DOD ADNI (Department of Defense) [W81XWH-12-2-0012]; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; Biogen; CereSpir, Inc.; Cogstate; Elan Pharmaceuticals, Inc.; EuroImmun; F. Hoffmann-La Roche Ltd; Fujirebio; IXICO Ltd.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Merck Co., Inc.; Meso Scale Diagnostics; NeuroRx Research; Pfizer Inc.; Piramal Imaging; Canadian Institutes of Health Research; ADNI clinical sites in Canada; Foundation for the National Institutes of Health; Northern California Institute for Research and Education; Laboratory for Neuro Imaging at the University of Southern California
第一作者机构：[1]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China[2]Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China[3]Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
共同第一作者：
通讯作者：
通讯机构：[1]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China[2]Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China[8]Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100191, Peoples R China[17]Capital Med Univ, Dept Neurol, Xuanwu Hosp, Beijing 100053, Peoples R China[20]Natl Clin Res Ctr Geriatr Disorders, Beijing 100053, Peoples R China[21]Beijing Inst Brain Disorders, Ctr Alzheimers Dis, Beijing 100053, Peoples R China
推荐引用方式(GB/T 7714)：
Kang Xiaopeng,Wang Dawei,Lin Jiaji,et al.Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N=3,118[J].NEUROSCIENCE BULLETIN.2024,40(9):1274-1286.doi:10.1007/s12264-024-01218-x.
APA：
Kang, Xiaopeng,Wang, Dawei,Lin, Jiaji,Yao, Hongxiang,Zhao, Kun...&Liu, Yong.(2024).Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N=3,118.NEUROSCIENCE BULLETIN,40,(9)
MLA：
Kang, Xiaopeng,et al."Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N=3,118".NEUROSCIENCE BULLETIN 40..9(2024):1274-1286
