Search Results for author:
Found 14 papers, 2 papers with code
Multi-centre normative brain mapping of intracranial EEG lifespan patterns in the human brain
Results: Recording site significantly impacted normative icEEG maps in all frequency bands, and age was a more influential predictor of band power than sex.
Alpha rhythm slowing in temporal epilepsy across Scalp EEG and MEG
Alpha slowing in TLE was found in both EEG and MEG recordings.
Incomplete resection of the icEEG seizure onset zone is not associated with post-surgical outcomes
Retrospective analysis of icEEG recordings from 63 subjects (735 seizures) identified seizure onset regions through visual inspection and algorithmic delineation.
Diminished circadian and ultradian rhythms in pathological brain tissue in human in vivo
Chronobiological rhythms, such as the circadian rhythm, have long been linked to neurological disorders, but it is currently unknown how pathological processes affect the expression of biological rhythms in the brain.
Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome
Finally, we assessed if the implantation of electrodes in abnormal tissue, and resection of the strongest abnormalities determined by MEG and iEEG explained surgical outcome.
Normative brain mapping using scalp EEG and potential clinical application
Scalp EEG relative band power normative maps are spatially stable across time, in keeping with MEG and intracranial EEG results.
Complementary structural and functional abnormalities to localise epileptogenic tissue
Here, we investigate whether structural connectivity abnormalities, inferred from dMRI, may be used in conjunction with functional iEEG abnormalities to aid localisation and resection of the epileptogenic zone (EZ), and improve surgical outcomes in epilepsy.
Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue
To assess the localising value of band power abnormality, we computed DRS - a measure of how different the surgically resected and spared tissue were in terms of band power abnormalities - over time.
Focal and Connectomic Mapping of Transiently Disrupted Brain Function
Our framework enables disruptive mapping of the human brain based on sparsely sampled data with minimal spatial assumptions, good statistical efficiency, flexible model formulation, and explicit comparison of local and distributed effects.
A library of quantitative markers of seizure severity
In individual patients, 71% had a moderate to large difference (ranksum r > 0. 3) between focal and subclinical seizures in three or more markers.
Intracranial EEG structure-function coupling predicts surgical outcomes in focal epilepsy
We investigated pre-operative structure-function coupling at two spatial scales a) at the global iEEG network level and b) at the resolution of individual iEEG electrode contacts using virtual surgeries.
Seizure pathways and seizure durations can vary independently within individual patients with focal epilepsy
However, it is unclear whether seizures following the same pathway will have the same duration or if these features can vary independently.
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
We demonstrate that an STCNN trained on a HAR dataset can be used in combination with an RNN to accurately represent arbitrarily long videos of seizures.
Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue
We then compared interictal recordings from 62 patients with epilepsy to the normative map to identify abnormal regions.
