Ontology highlight
ABSTRACT: Objective
Due to variability in the patterns of propagation of interictal epileptiform discharges (IEDs), qualitative definition of the irritative zone has been challenging. Here, we introduce a quantitative approach toward exploration of the dynamics of IED propagation within the irritative zone.Methods
We examined intracranial EEG (iEEG) in nine participants undergoing invasive monitoring for seizure localization. We used an automated IED detector and a community detection algorithm to identify populations of electrodes exhibiting IED activity that co-occur in time, and to group these electrodes into communities.Results
Within our algorithmically-identified communities, IED activity in the seizure onset zone (SOZ) tended to lead IED activity in other functionally coupled brain regions. The tendency of pathological activity to arise in the SOZ, and to spread to non-SOZ tissues, was greater in the asleep state.Conclusions
IED activity, and, by extension, the variability observed between the asleep and awake states, is propagated from a core seizure focus to nearby less pathological brain regions.Significance
Using an unsupervised, computational approach, we show that the spread of IED activity through the epilepsy network varies with physiologic state.
SUBMITTER: Diamond JM
PROVIDER: S-EPMC6730646 | biostudies-literature | 2019 Sep
REPOSITORIES: biostudies-literature
Diamond Joshua M JM Chapeton Julio I JI Theodore William H WH Inati Sara K SK Zaghloul Kareem A KA
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 20190702 9
<h4>Objective</h4>Due to variability in the patterns of propagation of interictal epileptiform discharges (IEDs), qualitative definition of the irritative zone has been challenging. Here, we introduce a quantitative approach toward exploration of the dynamics of IED propagation within the irritative zone.<h4>Methods</h4>We examined intracranial EEG (iEEG) in nine participants undergoing invasive monitoring for seizure localization. We used an automated IED detector and a community detection algo ...[more]