activity
20172022
most citedThe impact of epilepsy surgery on the structural connectome and its relation to outcome

155 citations · 273 across the 14 of their papers we have counts for

collaborators

14 papers

q-bio.NC2022★ 1 cited

MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy

Thomas W. Owen, Gabrielle M. Schroeder, Vytene Janiukstyte +8

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…

q-bio.NC2022★ 4 cited

A library of quantitative markers of seizure severity

Sarah J. Gascoigne, Leonard Waldmann, Mariella Panagiotopoulou +16

Purpose: Understanding fluctuations of seizure severity within individuals is important for defining treatment outcomes and response to therapy, as well as developing novel treatme…

q-bio.NC2022★ 6 cited

Intracranial EEG structure-function coupling predicts surgical outcomes in focal epilepsy

Nishant Sinha, John S. Duncan, Beate Diehl +9

Alterations to structural and functional brain networks have been reported across many neurological conditions. However, the relationship between structure and function -- their co…

q-bio.NC2022★ 1 cited

Volumetric and structural connectivity abnormalities co-localise in TLE

Jonathan J. Horsley, Gabrielle M. Schroeder, Rhys H. Thomas +6

Patients with temporal lobe epilepsy (TLE) exhibit both volumetric and structural connectivity abnormalities relative to healthy controls. How these abnormalities inter-relate and…

q-bio.NC2021★ 1 cited

Seizure pathways and seizure durations can vary independently within individual patients with focal epilepsy

Gabrielle M. Schroeder, Fahmida A. Chowdhury, Mark J. Cook +5

A seizure's electrographic dynamics are characterised by its spatiotemporal evolution, also termed dynamical "pathway" and the time it takes to complete that pathway, which results…

eess.IV2021★ 32 cited

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections

Fernando Pérez-García, Reuben Dorent, Michele Rizzi +9

Accurate segmentation of brain resection cavities (RCs) aids in postoperative analysis and determining follow-up treatment. Convolutional neural networks (CNNs) are the state-of-th…