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Dataset Information

Striato-cortical connectivity patterns predict clinical profiles in Huntington's disease.


ABSTRACT:

Background

Huntington's disease is an inherited neurodegenerative disorder affecting striato-cortical circuits, with significant heterogeneity in the severity and progression of symptoms and neurodegenerative patterns.

Objectives

To identify how distinct functional striato-cortical connectivity signatures may predict clinical profiles in Huntington's disease.

Methods

Thirty-eight Huntington's disease gene expansion carriers underwent cross-sectional motor, cognitive, and behavioral assessments and multimodal MRI. Principal component analysis was employed to characterize Huntington's disease clinical profiles. Next, seed-based whole-brain functional connectivity maps were derived for three basal ganglia seeds (caudate nucleus, putamen, nucleus accumbens) to delineate c

SUBMITTER: De Paepe AE 

PROVIDER: S-EPMC12264231 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature