Shape matters: Predicting Huntington’s disease using progression modelling
This study demonstrates that subcortical brain shape is associated with HD progression, enables capturing fine-grained within-stage variability, and improves the predictability of characteristic biomarkers. The findings could potentially optimize future clinical trials through more targeted participant recruitment and more objective post-intervention assessments of treatment efficacy.
Authors
- Govinda Poudel (ORCID: https://orcid.org/0000-0002-0043-7531)
- Mohsen Ghofrani-Jahromi (ORCID: https://orcid.org/0000-0003-4084-5553)
- Pubu M. Abeyasinghe
- Susmita Saha (ORCID: https://orcid.org/0000-0002-3224-4988)
- Adeel Razi
- Jane S. Paulsen
- Nellie Georgiou-Karistianis
- Sarah J. Tabrizi
Institutions
- University of Wisconsin–Madison (US)
- UK Dementia Research Institute (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
- Monash University (AU)
- Monash Institute of Medical Research (AU)
- Australian Catholic University (AU)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2026-01-15
- DOI
- https://doi.org/10.1016/j.cmpb.2026.109250
- Primary Topic
- Genetic Neurodegenerative Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00