activity
20192024
most citedReliability and comparability of human brain structural covariance networks

8 citations · 16 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

q-bio.NC2023★ 2 cited

Aperiodic MEG abnormality in patients with focal to bilateral tonic-clonic seizures

Kirandeep Kaur, Jonathan J Horsley, Csaba Kozma +7

Aperiodic activity is a physiologically distinct component of the electrophysiological power spectrum. It is suggested to reflect the balance of excitation and inhibition in the br…

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.NC2023★ 3 cited

Normative brain mapping using scalp EEG and potential clinical application

Vytene Janiukstyte, Thomas W Owen, Umair J Chaudhary +6

A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present a normative brain map usin…