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Abstract #1041

An n=1 approach to white matter anomaly detection in epilepsy

Maxime Chamberland1, Dmitri Shastin1,2, Sila Genc1, Khalid Hamandi1,3, William P. Gray1,2, Chantal M.W Tax1, and Derek K. Jones1
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Department of Neurosurgery, University Hospital Wales, Cardiff, United Kingdom, 3Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom

Most clinical diffusion MRI (dMRI) applications rely on statistical comparisons between large groups of patients and healthy controls to infer altered tissue state. For clinicians and researchers studying small datasets, rare cases, or individual patients, this approach is clearly inappropriate. We recently developed a framework to advance dMRI-based tractometry towards single-subject analysis. By 1) operating on the manifold of white matter pathways and by 2) learning normative microstructural features to better discriminate patients from controls, our framework successfully identified idiosyncrasies in patterns along brain white matter pathways in individuals with focal cortical dysplasia (FCD).

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