Antiseizure medication effects on the autonomic nervous system in pediatric patients with epilepsy

Fatemeh Mohammad Alizadeh Chafjiri1, Stephanie Dailey1, Saeid Sadeghian1

  • 1Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.

Epilepsy Research
|December 1, 2025
PubMed

Insights

Antiseizure medications (ASMs) can alter autonomic nervous system (ANS) functions like heart rate and temperature in children with epilepsy. Understanding these effects is crucial for monitoring treatment efficacy and potential side effects.

Area of Science:

  • Neuroscience
  • Pharmacology
  • Pediatric Neurology

Background:

  • Patients with epilepsy (PWE) on antiseizure medications (ASMs) often show altered autonomic nervous system (ANS) parameters.
  • ANS signals offer a potential non-invasive method for monitoring ASM application and effectiveness.

Purpose of the Study:

  • To review the existing literature on the effects of ASMs on the pediatric ANS.
  • To synthesize findings on how ASMs impact physiological parameters such as heart rate (HR), heart rate variability (HRV), temperature, and sweat.

Main Methods:

  • Systematic review following PRISMA guidelines.
  • Searched PubMed, Web of Science, and Embase databases for relevant studies published up to December 2024.
  • Screened 9837 studies, with 23 ultimately included for data extraction and analysis.

Main Results:

  • Zonisamide and topiramate were associated with reduced sweating and increased temperature.
  • Polytherapy with ASMs led to decreased HRV, with specific reductions noted for valproic acid (high-frequency) and phenobarbital (low-frequency).
  • Higher ASM doses reduced HRV, while levetiracetam showed minimal short-term ANS effects but improved parasympathetic control over time.

Conclusions:

  • ASMs can influence HR, sweat, and temperature in pediatric epilepsy patients, with varying effects depending on the specific medication and dosage.
  • Understanding ASM-induced ANS changes is vital for evaluating medication efficacy, identifying side effects, and accounting for confounding factors in seizure prediction.
  • Biosignal data reflecting ANS function could aid in developing device-based neuromodulation, seizure detection, and prediction algorithms.

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