Seizure occurrence and the circadian rhythm of cortisol: a systematic review

Campen, Jolien S. van; Valentijn, Floris A.; Jansen, Floor E.; Joëls, Marian; Braun, Kees P.J.

doi:10.1016/j.yebeh.2015.04.071

Cited by 44 publications

(29 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… Circadian variations emerged clearly from the data—more seizures were reported during morning hours as compared to overnight (peak of reported seizures at 07:00 a.m.), which replicate several previous epilepsy studies . Using intracranial electroencephalography (EEG) data captured with a Responsive Neurostimulator System (RNS), Duchrow reports a bimodal daily variation of seizures distribution, with relative maxima at 06:00 and 15:00 hours .…”

Section: Discussionsupporting

confidence: 79%

“…The primary observational findings of this study are listed below: Circadian variations emerged clearly from the data-more seizures were reported during morning hours as compared to overnight (peak of reported seizures at 07:00 a.m.), which replicate several previous epilepsy studies. 26 Using intracranial electroencephalography (EEG) data captured with a Responsive Neurostimulator System (RNS), Duchrow reports a bimodal daily variation of seizures distribution, with relative maxima at 06:00 and 15:00 hours. 27 In a different study of ambulatory intracranial monitoring (RNS), Spencer analyzes circadian and ultradian patterns of epileptiform discharges and how they differ by seizureonset location and demonstrates that cyclic occurrence of epileptiform discharges and seizures are influenced by the cumulative effects of various circadian rhythms that vary in influence by the pathophysiology of the underlying epilepsy syndrome.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Characteristics of large patient‐reported outcomes: Where can one million seizures get us?

et al. 2018

View full text Add to dashboard Cite

SummaryObjectiveTo analyze data from Seizure Tracker, a large electronic seizure diary, including comparison of seizure characteristics among different etiologies, temporal patterns in seizure fluctuations, and specific triggers.MethodsZero‐inflated negative binomial mixed‐effects models were used to evaluate temporal patterns of seizure events (during the day or week), as well as group differences in monthly seizure frequency between children and adults and between etiologies. The association of long seizures with seizure triggers was evaluated using a mixed‐effects logistic model with subject as the random effect. Incidence rate ratios (IRRs) and odds ratios were reported for analyses involving zero‐inflated negative binomial and logistic mixed‐effects models, respectively.ResultsA total of 1,037,909 seizures were logged by 10,186 subjects (56.7% children) from December 2007 to January 2016. Children had more frequent seizures than adults did (median monthly seizure frequency 3.5 vs. 2.7, IRR 1.26; p < 0.001). Seizures demonstrated a circadian pattern (higher frequency between 07:00 a.m. and 10:00 a.m. and lower overnight), and seizures were reported differentially across the week (seizure rates higher Monday through Friday than Saturday or Sunday). Longer seizures (>5 or >30 min) had a higher proportion of the following triggers when compared with shorter seizures: “Overtired or irregular sleep,” “Bright or flashing lights,” and “Emotional stress” (p < 0.004).SignificanceThis study explored a large cohort of patients with self‐reported seizures; strengths and limitations of large seizure diary databases are discussed. The findings in this study are consistent with those of prior work in smaller validated cohorts, suggesting that patient‐recorded databases are a valuable resource for epilepsy research, capable of both replication of results and generation of novel hypotheses.

show abstract

Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Characteristics of large patient‐reported outcomes: Where can one million seizures get us?

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Future studies should use a range of different sleep-sensitive tasks. Furthermore, as cortisol levels peak between eight and nine in the morning (Debono et al., 2009), and cortisol is known to influence both memory performance in older adults (Hidalgo, Almela, Pulopulos, & Salvador, 2016) and epileptic activity (van Campen et al., 2015, van Campen et al., 2016), future studies should use testing time-points that fall outside the cortisol response peak. It might also be interesting to measure cortisol levels in order to investigate any potential group differences.…”

Section: Discussionmentioning

confidence: 99%

Slow wave sleep and accelerated forgetting

Atherton

Nobre

Lázár

et al. 2016

Cortex

View full text Add to dashboard Cite

We investigated whether the benefit of slow wave sleep (SWS) for memory consolidation typically observed in healthy individuals is disrupted in people with accelerated long-term forgetting (ALF) due to epilepsy. SWS is thought to play an active role in declarative memory in healthy individuals and, furthermore, electrographic epileptiform activity is often more prevalent during SWS than during wakefulness or other sleep stages. We studied the relationship between SWS and the benefit of sleep for memory retention using a word-pair associates task. In both the ALF and the healthy control groups, sleep conferred a memory benefit. However, the relationship between the amount of SWS and sleep-related memory benefits differed significantly between the groups. In healthy participants, the amount of SWS correlated positively with sleep-related memory benefits. In stark contrast, the more SWS, the smaller the sleep-related memory benefit in the ALF group. Therefore, contrary to its role in healthy people, SWS-associated brain activity appears to be deleterious for memory in patients with ALF.

show abstract

“…10 In humans, a well-documented diurnal occurrence of epileptic seizures shows similarities to the circadian rhythm of cortisol. 11 We recently correlated spontaneous ultradian and circadian variations in cortisol concentration with the frequency of interictal epileptiform discharges (IEDs) in individuals with focal epilepsy and found a positive correlation only in people who reported sensitivity of seizures to periods of stress. 12 This suggests a neurobiologic basis for stress-sensitive epilepsy.…”

Section: Introductionmentioning

confidence: 99%

The relation between cortisol and functional connectivity in people with and without stress‐sensitive epilepsy

et al. 2017

Self Cite

View full text Add to dashboard Cite

SummaryObjective: The most common reported seizure-precipitant is stress. We recently showed a biologic basis for stress sensitivity of seizures: cortisol levels in people with stress-sensitive epilepsy correlated with focal interictal epileptiform discharges (IEDs) on electroencephalography (EEG). Here we aimed to determine whether the effect of cortisol on the epileptic brain is global or focal, and whether cortisol affects all brains or just those of stress-sensitive people. Because epilepsy is associated with changes in functional brain connectivity, we studied the relationship between cortisol and changes in global and focal (node-centered) functional connectivity measures for individuals with stress-sensitive and non-stresssensitive epilepsy. Methods: Seventeen people with epilepsy underwent long-term (>24 h) EEG recording. During the first 5 h after waking, saliva was collected every 15 min for cortisol measurements. Theta-band functional connectivity was assessed for every 15 min of the recording. We calculated the average phase-lag index (PLI) between all channels as a measure of global functional connectivity. We used network Strength, the averaged PLI per channel, as focal functional connectivity measure. We correlated cortisol, global, and focal functional connectivity (Strength) with IED frequency using linear mixed models. Analyses were split for people with and without stress-sensitivity of seizures. Results: Cortisol was negatively correlated with global functional connectivity in people with stress-sensitive seizures (estimate À0.0020; P < .01), whereas not in those without stress-sensitivity (estimate À0.0003; P = .46). This relationship occurred irrespective of the presence of IEDs on a channel (channels without IEDs and stress-sensitivity: estimate À0.0019; P < .01, non-stress-sensitive À0.0003; P = .41). Global and focal functional connectivity were negatively correlated with IED frequency, irrespective of stress sensitivity of seizures or channel type. Significance: People with stress-sensitive epilepsy have a whole-brain neuronal response to cortisol that is different from that of people with non-stress-sensitive epilepsy. This offers a basis for understanding seizure genesis in stress-sensitive epilepsy, which might require a different treatment approach.

show abstract

Seizure occurrence and the circadian rhythm of cortisol: a systematic review

Cited by 44 publications

References 61 publications

Characteristics of large patient‐reported outcomes: Where can one million seizures get us?

Characteristics of large patient‐reported outcomes: Where can one million seizures get us?

Slow wave sleep and accelerated forgetting

The relation between cortisol and functional connectivity in people with and without stress‐sensitive epilepsy

Contact Info

Product

Resources

About