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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

Xiaopeng Kang; Dawei Wang; Jiaji Lin; Hongxiang Yao; Kun Zhao; Chengyuan Song; Pindong Chen; Yida Qu; Hongwei Yang; Zengqiang Zhang; Bo Zhou; Tong Han; Zhengluan Liao; Yan Chen; Jie Lu; Chunshui Yu; Pan Wang; Xinqing Zhang; Ming Li; Xi Zhang; Tianzi Jiang; Yuying Zhou; Bing Liu; Ying Han; Yong Liu
Neuroscience Bulletin · Vol. 40, Issue 9 · pp. 1274-1286 · 2024

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.

Bibliographic Information

JournalNeuroscience Bulletin
PublisherSpringer
Publication Date2024-09-01
Publication Year2024
Volume40
Issue9
Pages1274-1286
Document TypeJournal Article
Print ISSN1673-7067
eISSN1995-8218
DOI10.1007/s12264-024-01218-x

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NARA Access Coverage2007-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12264
Publisher PageOpen Publisher Page
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