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Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts

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机构: [1]Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, 200444, China. [2]Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, 272000, China. [3]School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China. [4]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. [5]National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China. [6]Hainan University, Haikou, 570228, China.
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关键词: Dynamic functional connectivity Subjective cognitive decline Alzheimer’s disease Multicenter cohort Neuroimaging marker

摘要:
Brain network dynamics have been extensively explored in patients with subjective cognitive decline (SCD). However, these studies are susceptible to individual differences, scanning parameters, and other confounding factors. Therefore, how to reveal subtle SCD-related subtle changes remains unclear. Cross-sectional and longitudinal resting-state functional magnetic resonance imaging data from both Chinese and Western populations were analyzed. We proposed a framework of dynamic proportional loss of functional connectivity (DPLFC). After its stability was validated, the optimal parameters were applied for the clinical diagnosis of SCD. DPLFC yielded a relatively high intraclass correlation coefficient. In particular, the DPLFC of the left superior frontal gyrus (SFG) progressively decreased along the Alzheimer's disease (AD) continuum. Compared with the traditional index, the DPLFC had better classification performance between cognitively normal controls and patients with SCD. Furthermore, DPLFC was related to Aβ deposition and scale scores. Patients with lower DPLFC values had a greater risk of cognitive decline. Decreased DPLFC in the left SFG may be a potential AD-related neuroimaging biomarker at an early stage.© 2025. The Author(s), under exclusive licence to American Aging Association.

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大类 | 2 区 医学
小类 | 2 区 老年医学
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第一作者机构: [1]Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
通讯作者:
通讯机构: [4]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. [5]National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China. [6]Hainan University, Haikou, 570228, China.
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