Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning

Our findings suggest that pallidum, caudate, and cerebellar gray matter are potential targets for novel treatment approaches for A-T. The approach enables identification of subtle tissue anomalies at an individual level, allowing tailored approaches.

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Publication Details

Journal
PLoS ONE
Published
2025-08-29
DOI
https://doi.org/10.1371/journal.pone.0328828
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning

William Whitehouse, Robert A. Dineen, Denis Parra, Caroline Blanchard et al.
PLoS ONE
Genetic Neurodegenerative Diseases
article

Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning

William Whitehouse, Robert A. Dineen, Denis Parra, Caroline Blanchard, Stefan Pszczółkowski, Catalina Saini, Cristian Salazar-Vilches
article en

Abstract

Our findings suggest that pallidum, caudate, and cerebellar gray matter are potential targets for novel treatment approaches for A-T. The approach enables identification of subtle tissue anomalies at an individual level, allowing tailored approaches.

PLoS ONEVol. 20(8)
Nottingham University Hospitals NHS Trust (GB), University of Nottingham (GB), Pontificia Universidad Católica de Chile (CL), Universidad Bernardo O'Higgins (CL), Hospital Luis Calvo Mackenna (CL), Queen's Medical Centre (GB), Nottingham Biomedical Research Centre (GB)
A-T Children's Project, Action for A-T
Openalex Percentile: Top 76%
Genetic Neurodegenerative Diseases
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