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Updated: Jul 7, 2025

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Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
Published on: June 9, 2018
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Baseline Large-Scale Network Dynamics Associated with Disease Progression in Huntington's Disease
Ignacio Aracil-Bolaños1,2,3,4, Jesús Pérez-Pérez1,2,3,4, Saül Martínez-Horta1,2,3,4
1Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.
Movement Disorders : Official Journal of the Movement Disorder Society
|December 27, 2023
Summary
Huntington's disease (HD) progression shows altered brain network connectivity. Increased frontal and motor network connections correlate with faster decline, while visuospatial network connectivity may indicate slower disease progression.
Area of Science:
- Neuroscience
- Genetics
- Neurology
Background:
- Huntington's disease (HD) is a genetic disorder causing motor, cognitive, and neuropsychiatric symptoms.
- The relationship between clinical progression and network dynamics in HD is not fully understood.
Purpose of the Study:
- To examine changes in dynamic and static large-scale brain networks in HD.
- To correlate these network changes with disease progression using the composite Unified Huntington's Disease Rating Scale (cUHDRS).
Main Methods:
- Analyzed functional connectivity and topological features in 64 HD mutation carriers.
- Correlated baseline network data with 2-year follow-up clinical assessments (cUHDRS).
Main Results:
- Higher connectivity between frontal default-mode and motor networks was linked to greater cUHDRS decline.
- Increased connectivity in posterior, visuospatial regions was associated with slower cUHDRS decline.
Conclusions:
- HD involves structural disruptions in frontal motor and posterior parietal/occipital regions with increased functional connectivity.
- Divergent functional compensation mechanisms appear to influence HD's clinical evolution, with visuospatial network connectivity potentially being protective.
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