Seizure onset location shapes dynamics of initiation.

ABSTRACT:

Objective

Ictal electrographic patterns are widely thought to reflect underlying neural mechanisms of seizures. Here we studied the degree to which seizure patterns are consistent in a given patient, relate to particular brain regions and if two candidate biomarkers (high-frequency oscillations, HFOs; infraslow activity, ISA) and network activity, as assessed with cross-frequency interactions, can discriminate between seizure types.

Methods

We analyzed temporal changes in low and high frequency oscillations recorded during seizures, as well as phase-amplitude coupling (PAC) to monitor the interactions between delta/theta and ripple/fast ripple frequency bands at seizure onset.

Results

Seizures of multiple electrographic patterns were observed in a given patient and br

SUBMITTER: Salami P 

PROVIDER: S-EPMC7386838 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature