Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
464-03-010 ISMRM Abstract

Multimodal MRI and Machine Learning Uncover Distinct Progression Patterns in Friedreich Ataxia

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Other Neurodegeneration
464-03-010 · Neurodegenerative Diseases · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row E
Accepted
Susmita Saha 1,2, Nellie Georgiou-Karistianis1, Vivienne Teo1, Lachlan T Strike3, Thiago J Rezende4,5, Ian Harding2,3
1School of Psychological Sciences, The Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia, Australia
2Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Australia, Australia
3QIMR Berghofer Medical Research Institute, Brisbane, Australia, Australia
4Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
5Department of Neurosciences, School of Medical Sciences, University of São Paulo at Ribeirão Preto, Brazil
Presenting Author: Susmita Saha

Synopsis

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References

1. 1. Delatycki, M. B. & Corben, L. A. Clinical features of Friedreich ataxia. J. Child Neurol. 27, 1133–1137 (2012).
2. 2. Rummey, C. et al. Natural History of Friedreich Ataxia: Heterogeneity of Neurologic Progression and Consequences for Clinical Trial Design. Neurology 99, e1499–e1510 (2022).
3. 3. Selvadurai, L. P. et al. Longitudinal structural brain changes in Friedreich ataxia depend on disease severity: the IMAGE-FRDA study. J. Neurol. 268, 4178–4189 (2021).
4. 4. Selvadurai, L. P. et al. Multiple mechanisms underpin cerebral and cerebellar white matter deficits in Friedreich ataxia: The IMAGE‐FRDA study. Hum. Brain Mapp. 41, 1920–1933 (2020).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/464-03-010