Dynamic functional network connectivity and its association with lipid metabolism in Alzheimer's disease.

ABSTRACT:

Aims

The 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.

Methods

Data 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 in

SUBMITTER: Zang F 

PROVIDER: S-EPMC11413920 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature