Multi-day rhythms modulate seizure risk in epilepsy

Maxime O. Baud (), Jonathan K. Kleen, Emily A. Mirro, Jason C. Andrechak, David King-Stephens, Edward F. Chang and Vikram R. Rao
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Maxime O. Baud: University of California
Jonathan K. Kleen: University of California
Emily A. Mirro: NeuroPace, Inc.
Jason C. Andrechak: University of Delaware
David King-Stephens: California Pacific Medical Center
Edward F. Chang: University of California
Vikram R. Rao: University of California

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: Abstract Epilepsy is defined by the seemingly random occurrence of spontaneous seizures. The ability to anticipate seizures would enable preventative treatment strategies. A central but unresolved question concerns the relationship of seizure timing to fluctuating rates of interictal epileptiform discharges (here termed interictal epileptiform activity, IEA), a marker of brain irritability observed between seizures by electroencephalography (EEG). Here, in 37 subjects with an implanted brain stimulation device that detects IEA and seizures over years, we find that IEA oscillates with circadian and subject-specific multidien (multi-day) periods. Multidien periodicities, most commonly 20–30 days in duration, are robust and relatively stable for up to 10 years in men and women. We show that seizures occur preferentially during the rising phase of multidien IEA rhythms. Combining phase information from circadian and multidien IEA rhythms provides a novel biomarker for determining relative seizure risk with a large effect size in most subjects.

Date: 2018
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DOI: 10.1038/s41467-017-02577-y

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