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ABSTRACT: Background
Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation.Objective
Explore the relationship between abnormal spontaneous resting-state activity and atrophy in HD-specific brain regions and clarify effective connectivity changes among them across different stages of HD.Methods
Amplitude of low-frequency fluctuation (ALFF) analysis was used to detect abnormal spontaneous neural activity; voxel-based morphometry analysis was applied to assess atrophy; spectral dynamic causal model (DCM) was conducted to estimate regional effective connectivity between HD participants and healthy controls, as well as between preclinical
SUBMITTER: Jing Y
PROVIDER: S-EPMC12343314 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature