ArticleCNS neuroscience & therapeutics2024
Dynamic functional network connectivity and its association with lipid metabolism in Alzheimer's disease.
Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Microstates and connectivity states reveal task-related network reorganization in Alzheimer's disease patients.Clinical neurophysiology practice · 2026Article
- Dynamic functional connectivity and transcriptomic signatures reveal stage-dependent brain network dysfunction in Alzheimer's disease spectrum.Alzheimer's research & therapy · 2025Article
- PF4 in rejuvenation therapy: Neuroprotection and cognitive enhancement.Biomolecules & biomedicine · 2025Review
- [Brain Dynamic Functional Connectivity in Children and Adolescents With Conventional MRI-Negative Idiopathic Generalized Epilepsy].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Article
- Dynamic functional network connectivity and its association with lipid metabolism in Alzheimer's disease.CNS neuroscience & therapeutics · 2024Article
- Young and old adult brains experience opposite effects of acute sleep restriction on the functional connectivity network.Imaging neuroscience (Cambridge, Mass.)Article
- Hippocampal mediation in the lipid-Alzheimer's disease pathway: A high-dimensional mediation analysis stratified byAlzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
8 authors.
Funding
Abstract
aimsThe study aims to examine the changing trajectory characteristics of dynamic functional network connectivity (dFNC) and its correlation with lipid metabolism-related factors across the Alzheimer's disease (AD) spectrum populations.
methodsData from 242 AD spectrum subjects, including biological, neuroimaging, and general cognition, were obtained from the Alzheimer's Disease Neuroimaging Initiative for this cross-sectional study. The study utilized a sliding-window approach to assess whole-brain dFNC, investigating group differences and associations with biological and cognitive factors. Abnormal dFNC was used in the classification of AD spectrum populations by support vector machine. Mediation analysis was performed to explore the relationships between lipid-related indicators, dFNC, cerebrospinal fluid (CSF) biomarkers, and cognitive performance.
resultsSignificant group difference concerning were observed in relation to APOE-ε4 status, CSF biomarkers, and cognitive scores. Two reoccurring connectivity states were identified: state-1 characterized by frequent but weak connections, and state-II characterized by less frequent but strong connections. Pre-AD subjects exhibited a preference for spending more time in state-I, whereas AD patients tended remain in state-II for longer periods. Group difference in dFNC was primarily found between AD and non-AD participants within each state. The dFNC of state-I yielded strong power to distinguish AD from other groups compared with state-II. APOE-ε4
conclusionThe dysfunction of dFNC temporal-spatial patterns and increased cognition in individuals with APOE-ε4, high polygenic score, and higher serum lipid levels shed light on the lipid-related mechanisms of dynamic network reorganization in AD.
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