2020
DOI: 10.2139/ssrn.3745167
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Multiday Cycles of Heart Rate Modulate Seizure Likelihood at Daily, Weekly and Monthly Timescales: An Observational Cohort Study

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Cited by 7 publications
(16 citation statements)
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“…In the current work, there was clear rhythmicity in the detected events ( Figure 3A ), which is concordant with previous work with invasive EEG showing the prevalence of circadian and multiday cycles in interictal EA ( 17 , 18 ) and seizures ( 20 , 29 , 31 ). Using a similar approach to previous work ( 20 , 40 ), cycles were detected at circadian and multiday periodicities for one individual ( Figure 3B ), with 18-day and 29-day cycles in the detected events showing the strongest relationships with seizure timing ( Figures 3C,D ). Interestingly, multiday cyclesin this subject were stronger than the circadian rhythm.…”
Section: Discussionmentioning
confidence: 74%
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“…In the current work, there was clear rhythmicity in the detected events ( Figure 3A ), which is concordant with previous work with invasive EEG showing the prevalence of circadian and multiday cycles in interictal EA ( 17 , 18 ) and seizures ( 20 , 29 , 31 ). Using a similar approach to previous work ( 20 , 40 ), cycles were detected at circadian and multiday periodicities for one individual ( Figure 3B ), with 18-day and 29-day cycles in the detected events showing the strongest relationships with seizure timing ( Figures 3C,D ). Interestingly, multiday cyclesin this subject were stronger than the circadian rhythm.…”
Section: Discussionmentioning
confidence: 74%
“…Lack of sleep and deviations from normal sleep patterns are known risk factors for seizures. Conversely, the treatment of seizures and seizures themselves can disrupt normal sleep patterns ( 40 , 41 ). Sub-scalp devices provide an opportunity to investigate the complex relationship between sleep and seizures and can aid in patient management and seizure forecasting ( 39 ).…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, advances in chronic EEG recording have shown that seizure cycles are more reliably estimated by continuously monitoring biomarkers of excitability ( 5 ). For instance average rates of interictal epileptic activity ( 4 ), the variance and autocorrelation of EEG ( 15 ), and even average heart rate ( 21 ) all show multiday cycles that are more robustly predictive of seizure likelihood than looking at past seizure times. Additionally, a recent comparison of seizure diaries and epileptic activity captured from chronic sub-scalp recording systems ( 22 ) showed discrepancies between the cyclic distributions of self-reported and electrographic events, even when diaries were relatively accurate ( 23 ).…”
Section: Misconception 1: Seizure Diaries Are Too Noisy To Infer Cyclesmentioning
confidence: 99%
“…It has been hypothesised that endogenous weekly cycles do influence mammalian physiology, with evidence of such cycles affecting the cardio-respiratory, immune, and endocrine systems ( 34 ). A recent study found people with epilepsy showed weekly fluctuations in resting heart rate that were related to their seizure occurrence ( 21 ). Similar to epileptic activity, heart rate cycles were found at patient-specific periods of between 5 and 9 days and not necessarily linked to weekdays.…”
Section: Misconception 2: Weekly Cycles Are Driven By Weekday Behavioursmentioning
confidence: 99%
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