most citedTemporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC20241 cited

The Imaging Database for Epilepsy And Surgery (IDEAS)

Peter N. Taylor, Yujiang Wang, Callum Simpson +12

Magnetic resonance imaging (MRI) is a crucial tool to identify brain abnormalities in a wide range of neurological disorders. In focal epilepsy MRI is used to identify structural c…

q-bio.NC2023

Identifying epileptogenic abnormality by decomposing intracranial EEG and MEG power spectra

Csaba Kozma, Gabrielle Schroeder, Tom Owen +6

Identifying abnormal electroencephalographic activity is crucial in diagnosis and treatment of epilepsy. Recent studies showed that decomposing brain activity into periodic (oscill…

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

Identifying epileptogenic abnormalities through spatial clustering of MEG interictal band power

Thomas W. Owen, Vytene Janiukstyte, Gerard R. Hall +8

Successful epilepsy surgery depends on localising and resecting cerebral abnormalities and networks that generate seizures. Abnormalities, however, may be widely distributed across…

q-bio.NC20231 cited

Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue

Yujiang Wang, Gabrielle M Schroeder, Jonathan J Horsley +8

Objective: Identifying abnormalities in interictal intracranial EEG, by comparing patient data to a normative map, has shown promise for the localisation of epileptogenic tissue an…