Mapping Regional Brain Aging in Huntington's Disease Using Structural Magnetic Resonance Imaging and Machine Learning

This study highlights distinct region-specific components of brain aging in HD. Regional analysis provides deeper insights into HD progression and could be employed as a sensitive biomarker for monitoring therapeutic effects in clinical trials. Future work should explore these findings in younger cohorts and investigate network-specific aging with multimodal imaging. © 2025 International Parkinson and Movement Disorder Society.

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Publication Details

Journal
Movement Disorders
Published
2025-12-24
DOI
https://doi.org/10.1002/mds.70160
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping Regional Brain Aging in Huntington's Disease Using Structural Magnetic Resonance Imaging and Machine Learning

Nicola Hobbs, Rachael I. Scahill, Nellie Georgiou‐Karistianis, Yalda Amirmoezzi et al.
Movement Disorders
Genetic Neurodegenerative Diseases
article

Mapping Regional Brain Aging in Huntington's Disease Using Structural Magnetic Resonance Imaging and Machine Learning

Nicola Hobbs, Rachael I. Scahill, Nellie Georgiou‐Karistianis, Yalda Amirmoezzi, Govinda Poudel, Pubu M. Abeyasinghe, Susmita Saha, Adeel Razi, Mohsen Ghofrani‐Jahromi, Jane S. Paulsen
article en

Abstract

This study highlights distinct region-specific components of brain aging in HD. Regional analysis provides deeper insights into HD progression and could be employed as a sensitive biomarker for monitoring therapeutic effects in clinical trials. Future work should explore these findings in younger cohorts and investigate network-specific aging with multimodal imaging. © 2025 International Parkinson and Movement Disorder Society.

Movement Disorders
University of Wisconsin–Madison (US), The University of Melbourne (AU), Huntington's Disease Association (GB), University College London (GB), Monash University (AU), Australian Catholic University (AU)
CHDI Foundation, University College London, Southwest University, National Institutes of Health, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 38%
Genetic Neurodegenerative Diseases
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