Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation‐Based Morphometry Study
This study suggests that brain atrophy patterns measured by deformation-based morphometry provide valuable insights beyond clinical assessments for prognosis. It offers a more comprehensive approach to prognosis and highlights brain regions involved in disease progression and survival, potentially leading to a better understanding of amyotrophic lateral sclerosis. ANN NEUROL 2025;97:1144-1157.
Authors
- Sanjay Kalra (ORCID: https://orcid.org/0000-0003-4762-8746)
- Mahsa Dadar (ORCID: https://orcid.org/0000-0003-4008-2672)
- Isabelle Lajoie (ORCID: https://orcid.org/0009-0004-6745-1532)
Institutions
- University of Alberta (CA)
- Douglas Mental Health University Institute (CA)
- Zero to Three (US)
- Women and Children’s Health Research Institute (CA)
- McGill University (CA)
Publication Details
- Journal
- Annals of Neurology
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1002/ana.27196
- Citations
- 15
- Primary Topic
- Amyotrophic Lateral Sclerosis Research
- Type
- article
- Field-Weighted Citation Impact
- 20.84
Funders
- ALS Society of Canada
- Fondation Brain Canada