MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy
Thomas W. Owen, Gabrielle M. Schroeder, Vytene Janiukstyte, Gerard R., Hall, Andrew McEvoy, Anna Miserocchi, Jane de Tisi, John S. Duncan, Fergus, Rugg-Gunn, Yujiang Wang, Peter N. Taylor

TL;DR
This study uses interictal MEG bandpower mapping to identify patient-specific abnormalities and mechanisms behind surgical failure in neocortical epilepsy, aiming to improve outcome prediction and surgical planning.
Contribution
It introduces novel MEG-based markers for three mechanisms of surgical failure and validates their effectiveness in predicting post-surgical seizure outcomes.
Findings
Markers discriminate surgical outcomes with high accuracy (AUC up to 0.80).
95% of non-seizure-free patients showed markers of surgical failure.
Interictal MEG mapping aids in localizing pathology and understanding epilepsy mechanisms.
Abstract
Neocortical epilepsy surgery fails to achieve post-operative seizure freedom in 30-40% of cases. It is not fully understood why surgery in some patients is unsuccessful. Comparing interictal MEG bandpower from patients to normative maps, which describe healthy spatial and population variability, we identify patient specific abnormalities relating to surgical failure. We propose three mechanisms contributing to poor surgical outcome; 1) failure to resect abnormalities, 2) failing to remove all epileptogenic abnormalities, and 3) insufficiently impacting the overall cortical abnormality. We develop markers of these mechanisms, validating them against patient outcomes. Resting-state MEG data were acquired for 70 healthy controls and 32 patients with refractory neocortical epilepsy. Relative bandpower maps were computed using source localised recordings from healthy controls. Patient and…
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Taxonomy
TopicsEpilepsy research and treatment · Advanced MRI Techniques and Applications · Functional Brain Connectivity Studies
