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Dataset Information

Resting-state background features demonstrate multidien cycles in long-term EEG device recordings.


ABSTRACT:

Background

Longitudinal EEG recorded by implanted devices is critical for understanding and managing epilepsy. Recent research reports patient-specific, multi-day cycles in device-detected epileptiform events that coincide with increased likelihood of clinical seizures. Understanding these cycles could elucidate mechanisms generating seizures and advance drug and neurostimulation therapies.

Objective/hypothesis

We hypothesize that seizure-correlated cycles are present in background neural activity, independent of interictal epileptiform spikes, and that neurostimulation may disrupt these cycles.

Methods

We analyzed regularly-recorded seizure-free data epochs from 20 patients implanted with a responsive neurostimulation (RNS) device for at least 1.5 years, to explore t

SUBMITTER: Ojemann WKS 

PROVIDER: S-EPMC10350154 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature