Biological rhythms and epilepsy treatment

Næsgaard, Jon Andreas Rugstad; Gjerstad, Leif; Heuser, Kjell; Taubøll, Erik

doi:10.3389/fneur.2023.1153975

Cited by 4 publications

(1 citation statement)

References 51 publications

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“…En esta revisión narrativa se ha resumido lo principal acerca del tema tratado. Se invita al lector a profundizar, según su foco de interés, en alguna de las detalladas revisiones publicadas hasta el momento 78,79 .…”

Section: Conclusiónunclassified

Cronofarmacología en enfermedades neurológicas

Valls-Carbó

2024

KRANION

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Section: Conclusiónunclassified

Cronofarmacología en enfermedades neurológicas

Valls-Carbó

2024

KRANION

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Detection of seizure clustering using ultralong-term subcutaneous EEG monitoring

Novitskaya,

Hirsch,

Schulze-Bonhage

2024

Clin Epileptol

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Epileptic seizures usually occur unpredictably yet not necessarily at random times. Cyclical patterns of seizure recurrence have been broadly described. Long-term seizure documentation may reveal individual cyclical seizure patterns; however, seizure reporting by patients or their caregivers is often inaccurate. Modern technologies for at-home monitoring of epileptic seizures enable continuous EEG recording for objective seizure counts over long-term timescales. Here, we present the clinical case of a patient with temporal lobe epilepsy due to hippocampal sclerosis who underwent ultralong-term subcutaneous EEG recording over a 1-year period, which revealed the occurrence of seizure clusters at three- to four-weekly intervals. The case demonstrates the possibility of detection of subject-specific seizure timing using a minimally invasive subcutaneous EEG recorder for ultralong-term at-home seizure monitoring. Information about individual seizure timing may contribute to a more personalized chronotherapeutic treatment approach in which antiseizure medication can be maintained at low doses during the low-risk periods and increased briefly before the anticipated seizures.

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The hidden rhythms of epilepsy: exploring biological clocks and epileptic seizure dynamics

Niu,

Guo,

Wang

et al. 2025

Acta Epileptologica

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Epilepsy, characterized by recurrent seizures, is influenced by biological rhythms, such as circadian, seasonal, and menstrual cycles. These rhythms affect the frequency, severity, and timing of seizures, although the precise mechanisms underlying these associations remain unclear. This review examines the role of biological clocks, particularly the core circadian genes Bmal1, Clock, Per, and Cry, in regulating neuronal excitability and epilepsy susceptibility. We explore how the sleep-wake cycle, particularly non-rapid eye movement sleep, increases the risk of seizures, and discuss the circadian modulation of neurotransmitters like gamma-aminobutyric acid and glutamate. We explore clinical implications, including chronotherapy which refers to the practice of timing medical treatments to align with the body's natural biological rhythms, such as the circadian rhythm. Chronotherapy aligns anti-seizure medication administration with biological rhythms. We also discuss rhythm-based neuromodulation strategies, such as adaptive deep brain stimulation, which may dynamically change stimulation in response to predicted seizures in patients, provide additional therapeutic options. This review emphasizes the potential of integrating biological rhythm analysis into personalized epilepsy management, offering novel approaches to optimize treatment and improve patient outcomes. Future research should focus on understanding individual variability in seizure rhythms and harnessing technological innovations to enhance seizure prediction, precision treatment, and long-term management.

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Biological rhythms and epilepsy treatment

Cited by 4 publications

References 51 publications

Cronofarmacología en enfermedades neurológicas

Cronofarmacología en enfermedades neurológicas

Detection of seizure clustering using ultralong-term subcutaneous EEG monitoring

The hidden rhythms of epilepsy: exploring biological clocks and epileptic seizure dynamics

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