4.5 Article

Seizure Cycles in Focal Epilepsy

Journal

JAMA NEUROLOGY
Volume 78, Issue 4, Pages 454-463

Publisher

AMER MEDICAL ASSOC
DOI: 10.1001/jamaneurol.2020.5370

Keywords

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Funding

  1. Wyss Center for Bio and Neuroengineering
  2. Ernest Gallo Foundation Distinguished Professorship in Neurology at the University of California, San Francisco
  3. Ambizione grant from the Swiss National Science Foundation [PZ00P3_179929]
  4. Velux Stiftung [1232]
  5. Swiss National Science Foundation (SNF) [PZ00P3_179929] Funding Source: Swiss National Science Foundation (SNF)

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This study aimed to establish the prevalence, strength, and temporal patterns of seizure cycles in focal epilepsy patients over timescales of hours to years. The results revealed different types of seizure cycles, with high prevalence of circadian, multidien, and circannual cycles, which can help explain the natural variability in seizure timing.
IMPORTANCE Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. OBJECTIVE To establish the prevalence, strength, and temporal patterns of seizure cycles over timescales of hours to years. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study analyzed data from continuous intracranial electroencephalography (cEEG) and seizure diaries collected between January 19, 2004, and May 18, 2018, with durations up to 10 years. A total of 222 adults with medically refractory focal epilepsy were selected from 256 total participants in a clinical trial of an implanted responsive neurostimulation device. Selection was based on availability of cEEG and/or self-reports of disabling seizures. EXPOSURES Antiseizure medications and responsive neurostimulation, based on clinical indications. MAIN OUTCOMES AND MEASURES Measures involved (1) self-reported daily seizure counts, (2) cEEG-based hourly counts of electrographic seizures, and (3) detections of interictal epileptiform activity (IEA), which fluctuates in daily (circadian) and multiday (multidien) cycles. Outcomes involved descriptive characteristics of cycles of IEA and seizures: (1) prevalence, defined as the percentage of patients with a given type of seizure cycle; (2) strength, defined as the degree of consistency with which seizures occur at certain phases of an underlying cycle, measured as the phase-locking value (PLV); and (3) seizure chronotypes, defined as patterns in seizure timing evident at the group level. RESULTS Of the 222 participants, 112 (50%) were male, and the median age was 35 years (range, 18-66 years). The prevalence of circannual (approximately 1 year) seizure cycles was 12% (24 of 194), the prevalence of multidien (approximately weekly to approximately monthly) seizure cycles was 60% (112 of 186), and the prevalence of circadian (approximately 24 hours) seizure cycles was 89% (76 of 85). Strengths of circadian (mean [SD] PLV, 0.34 [0.18]) and multidien (mean [SD] PLV, 0.34 [0.17]) seizure cycles were comparable, whereas circannual seizure cycles were weaker (mean [SD] PLV, 0.17 [0.10]). Across individuals, circadian seizure cycles showed 5 peaks: morning, mid-afternoon, evening, early night, and late night. Multidien cycles of IEA showed peak periodicities centered around 7, 15, 20, and 30 days. Independent of multidien period length, self-reported and electrographic seizures consistently occurred during the days-long rising phase of multidien cycles of IEA. CONCLUSIONS AND RELEVANCE Findings in this large cohort establish the high prevalence of plural seizure cycles and help explain the natural variability in seizure timing. The results have the potential to inform the scheduling of diagnostic studies, the delivery of time-varying therapies, and the design of clinical trials in epilepsy.

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