Diurnal rhythms of spontaneous intracranial high-frequency oscillations.
Chronobiology
Circadian rhythms
Cosinor model
Drug-resistant epilepsy
Stereo-EEG
Journal
Seizure
ISSN: 1532-2688
Titre abrégé: Seizure
Pays: England
ID NLM: 9306979
Informations de publication
Date de publication:
Nov 2022
Nov 2022
Historique:
received:
11
07
2022
revised:
05
09
2022
accepted:
28
09
2022
pubmed:
12
10
2022
medline:
8
11
2022
entrez:
11
10
2022
Statut:
ppublish
Résumé
Seizures are known to occur with diurnal and other rhythms. To gain insight into the neurophysiology of periodicity of seizures, we tested the hypothesis that intracranial high-frequency oscillations (HFOs) show diurnal rhythms and sleep-wake cycle variation. We further hypothesized that HFOs have different rhythms within and outside the seizure-onset zone (SOZ). In drug-resistant epilepsy patients undergoing stereotactic-EEG (SEEG) monitoring to localize SOZ, we analyzed the number of 50-200 Hz HFOs/channel/minute (HFO density) through a 24-hour period. The distribution of HFO density during the 24-hour period as a function of the clock time was analyzed with cosinor model, and for non-uniformity with the sleep-wake cycle. HFO density showed a significant diurnal rhythm overall and both within and outside SOZ. This diurnal rhythm of HFO density showed significantly lower amplitude and longer acrophase within SOZ compared to outside SOZ. The peaks of difference in HFO density within and outside SOZ preceded the seizures by approximately 4 hours. The difference in HFO density within and outside SOZ also showed a non-uniform distribution as a function of sleep-wake cycle, with peaks at first hour after arousal and ±2 hours around sleep onset. Our study shows that the diurnal rhythm of intracranial HFOs is more robust outside the SOZ. This suggests cortical tissue within SOZ generates HFOs relatively more uniformly throughout the day with attenuation of expected diurnal rhythm. The difference in HFO density within and outside SOZ also showed non-uniform distribution according to clock times and the sleep-wake cycle, which can be a potential biomarker for preferential times of pathological cortical excitability. A temporal correlation with seizure occurrence further substantiates this hypothesis.
Identifiants
pubmed: 36219913
pii: S1059-1311(22)00217-5
doi: 10.1016/j.seizure.2022.09.019
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
105-112Informations de copyright
Copyright © 2022. Published by Elsevier Ltd.