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Abstract #1034

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

Sami Obaid1,2, Françcois Rheault2,3, 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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