activity
20192025
most citedInterictal intracranial EEG for predicting surgical success: the importance of space and time

44 citations · 71 across the 18 of their papers we have counts for

collaborators

18 papers

q-bio.NC2025

Seizure duration is associated with multiple timescales in interictal iEEG band power

Mariella Panagiotopoulou, Gabrielle M. Schroeder, Jess Blickwedel +12

Background Seizure severity can change from one seizure to the next within individual people with epilepsy. It is unclear if and how seizure severity is modulated over longer times…

q-bio.NC2025

From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping

Heather Woodhouse, Sarah J. Gascoigne, Gerard Hall +5

Normative mapping is a framework used to map population-level features of health-related variables. It is widely used in neuroscience research, but the literature lacks established…

q-bio.NC2024

Anti-seizure medication load is not correlated with early termination of seizure spread

Nathan Evans, Sarah J. Gascoigne, Guillermo M. Besne +11

Objective: Anti-seizure medications (ASMs) are the mainstay of treatment for epilepsy, yet their effect on seizure spread is not fully understood. Higher ASM doses have been associ…

q-bio.NC2024

Multi-centre normative brain mapping of intracranial EEG lifespan patterns in the human brain

Heather Woodhouse, Gerard Hall, Callum Simpson +18

Background: Understanding healthy human brain function is crucial to identify and map pathological tissue within it. Whilst previous studies have mapped intracranial EEG (icEEG) fr…

q-bio.NC2023★ 1 cited

Incomplete resection of the icEEG seizure onset zone is not associated with post-surgical outcomes

Sarah J. Gascoigne, Nathan Evans, Gerard Hall +16

Delineation of seizure onset regions from EEG is important for effective surgical workup. However, it is unknown if their complete resection is required for seizure freedom, or in…

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★ 1 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…

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★ 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.NC2022★ 1 cited

Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states

Gabrielle M. Schroeder, Philippa J. Karoly, Matias Maturana +4

Background and Objectives: Many biological processes are modulated by rhythms on circadian and multidien timescales. In focal epilepsy, various seizure features, such as spread 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…

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★ 1 cited

Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions

Mariella Panagiotopoulou, Christoforos A Papasavvas, Gabrielle M Schroeder +3

Epilepsy is recognised as a dynamic disease, where both seizure susceptibility and seizure characteristics themselves change over time. Specifically, we recently quantified the var…

q-bio.NC2020★ 9 cited

Focal to bilateral tonic-clonic seizures are associated with widespread network abnormality in temporal lobe epilepsy

Nishant Sinha, Natalie Peternell, Gabrielle M. Schroeder +6

Objective: To identify if whole-brain structural network alterations in patients with temporal lobe epilepsy (TLE) and focal to bilateral tonic-clonic seizures (FBTCS) differ from…

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…

q-bio.NC2019★ 1 cited

Personalised network modelling in epilepsy

Yujiang Wang, Gabrielle Marie Schroeder, Nishant Sinha +1

Epilepsy is a disorder characterised by spontaneous, recurrent seizures. Both local and network abnormalities have been associated with epilepsy, and the exact processes generating…