Abstract #1034

Increased connectivity strength in operculo-insular epilepsy leveraged by COMMIT-based surface-enhanced tractography

Sami Obaid^1,2, Françcois Rheault^2,3, Manon Edde², Guido Guberman⁴, Etienne St-Onge², Jasmeen Sidhu², Alain Bouthillier⁵, Alessandro Daducci⁶, Dang Khoa Nguyen⁷, and Maxime Descoteaux²

¹Department of Neurosciences, Université de Montréal, Montréal, Quebec, Canada, Montréal, QC, Canada, ²Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, Quebec, Canada, Sherbrooke, QC, Canada, ³Electrical Engineering, Vanderbilt University, Nashville, TN, United States, Nashville, TN, United States, ⁴Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada, Montreal, QC, Canada, ⁵Division of Neurosurgery, CHUM, Montréal, Quebec, Canada, Montreal, QC, Canada, ⁶Department of Computer Science, University of Verona, Verona, Italy, Verona, Italy, ⁷Service de Neurologie, CHUM, Montréal, Québec, Canada, Montreal, QC, Canada

Operculo-insular epilepsy (OIE) is a rare and under-diagnosed pathology due to its heterogeneous presentation. Interestingly, no studies have looked at the structural connectome in OIE. In this study, we used a cutting-edge diffusion MRI processing pipeline to evaluate the connectivity pattern of OIE. The filtering-based COMMIT weight obtained from surface-enhanced tractography was used as a marker of ‘connectivity strength’. We found an increase in ‘connectivity strength’ within the epileptic network of OIE. Moreover, the pattern of connectivity was distinct from the one of TLE, potentially constituting a tool to help differentiate OIE from the closely related and challengingly distinguishable TLE.

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