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

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 elucida...

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Bibliographic Details
Published in:Brain stimulation 2023-11, Vol.16 (6), p.1709-1718
Main Authors: Ojemann, William K.S., Scheid, Brittany H., Mouchtaris, Sofia, Lucas, Alfredo, LaRocque, Joshua J., Aguila, Carlos, Ashourvan, Arian, Caciagli, Lorenzo, Davis, Kathryn A., Conrad, Erin C., Litt, Brian
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Language:English
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Summary: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. We hypothesize that seizure-correlated cycles are present in background neural activity, independent of interictal epileptiform spikes, and that neurostimulation may temporarily interrupt these cycles. 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 the relationship between cycles in device-detected interictal epileptiform activity (dIEA), clinician-validated interictal spikes, background EEG features, and neurostimulation. Background EEG features tracked the cycle phase of dIEA in all patients (AUC: 0.63 [0.56–0.67]) with a greater effect size compared to clinically annotated spike rate alone (AUC: 0.55 [0.53–0.61], p 
ISSN:1935-861X
1876-4754
DOI:10.1016/j.brs.2023.11.005