Abstract #0213

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

Guido I. Guberman¹, Sonja Stojanovski^2,3, Alain Ptito¹, Danilo Bzdok⁴, Anne Wheeler^2,3, 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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