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Abstract #0213

Redefining the architecture of white matter damage in paediatric concussions and their relationship with symptoms

Guido I. Guberman1, Sonja Stojanovski2,3, Alain Ptito1, Danilo Bzdok4, Anne Wheeler2,3, and Maxime Descoteaux5
1Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2Neuroscience and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada, 3Department of Physiology, University of Toronto, Toronto, ON, Canada, 4Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 5Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada

Concussion heterogeneity remains a major challenge for clinical and scientific research. Yet, most studies continue to employ group comparison approaches that assume consistent one-to-one relationships between brain structure and symptoms. To parse concussion heterogeneity, we employed a double-multivariate approach using diffusion MRI of children with histories of concussion. Multivariate white-matter structural features captured more information about symptoms than all individual features. Results also revealed how different white-matter abnormalities led to similar symptom profiles. Lastly, multivariate features significantly predicted adverse psychiatric outcomes. These results suggest that concussion heterogeneity arising from complex structure/symptom relationships can be well captured by our double-multivariate approach.

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