activity
20192023
most citedInterictal intracranial EEG for predicting surgical success: the importance of space and time

44 citations · 91 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.NC2023

Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome

Thomas W. Owen, Vytene Janiukstyte, Gerard R. Hall +9

Intracranial EEG (iEEG) is the gold standard technique for epileptogenic zone (EZ) localisation, but requires a hypothesis of which tissue is epileptogenic, guided by qualitative a…

q-bio.NC2023★ 3 cited

Complementary structural and functional abnormalities to localise epileptogenic tissue

Jonathan J Horsley, Rhys H Thomas, Fahmida A Chowdhury +10

When investigating suitability for surgery, people with drug-refractory focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure onset. Diffusion-we…

q-bio.NC2022★ 6 cited

Focal and Connectomic Mapping of Transiently Disrupted Brain Function

Michael S. Elmalem, Hanna Moody, James K. Ruffle +5

The distributed nature of the neural substrate, and the difficulty of establishing necessity from correlative data, combine to render the mapping of brain function a far harder tas…

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.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…

cs.CV2021★ 21 cited

Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Fernando Pérez-García, Catherine Scott, Rachel Sparks +2

Detailed analysis of seizure semiology, the symptoms and signs which occur during a seizure, is critical for management of epilepsy patients. Inter-rater reliability using qualitat…

q-bio.NC2021★ 2 cited

Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue

Peter N Taylor, Christoforos A Papasavvas, Thomas W Owen +11

The identification of abnormal electrographic activity is important in a wide range of neurological disorders, including epilepsy for localising epileptogenic tissue. However, this…

q-bio.NC2020★ 4 cited

Band power modulation through intracranial EEG stimulation and its cross-session consistency

Christoforos A Papasavvas, Gabrielle M Schroeder, Beate Diehl +3

Background: Direct electrical stimulation of the brain through intracranial electrodes is currently used to probe the epileptic brain as part of pre-surgical evaluation, and it is…

q-bio.NC2019★ 44 cited

Interictal intracranial EEG for predicting surgical success: the importance of space and time

Yujiang Wang, Nishant Sinha, Gabrielle M. Schroeder +8

Predicting post-operative seizure freedom using functional correlation networks derived from interictal intracranial EEG has shown some success. However, there are important challe…