Altered global signal topography in Alzheimer's disease | |
Chen, Pindong6,7; Zhao, Kun4,5; Zhang, Han4; Wei, Yongbin4; Wang, Pan8; Wang, Dawei9; Song, Chengyuan17; Yang, Hongwei16; Zhang, zengqiang15; Yao, Hongxiang14 | |
刊名 | eBioMedicine
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2024-03 | |
页码 | 104455 |
英文摘要 | Background 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). Methods 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. Findings 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. Interpretation 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. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/56686] ![]() |
专题 | 自动化研究所_脑网络组研究中心 |
作者单位 | 1.Beijing Institute of Geriatrics, Beijing, China 2.Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China 3.Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China 4.School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China 5.Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China 6.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 7.Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China 8.Department of Neurology, Tianjin Huanhu Hospital Tianjin University, Tianjin, China 9.Department of Radiology, Qilu Hospital of Shandong University, Ji’nan, China 10.State Key Laboratory of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China |
推荐引用方式 GB/T 7714 | Chen, Pindong,Zhao, Kun,Zhang, Han,et al. Altered global signal topography in Alzheimer's disease[J]. eBioMedicine,2024:104455. |
APA | Chen, Pindong.,Zhao, Kun.,Zhang, Han.,Wei, Yongbin.,Wang, Pan.,...&Liu, Yong.(2024).Altered global signal topography in Alzheimer's disease.eBioMedicine,104455. |
MLA | Chen, Pindong,et al."Altered global signal topography in Alzheimer's disease".eBioMedicine (2024):104455. |
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