Related Experiment Video

Updated: Jul 24, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

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Electrophysiological network predicts clinical response to vigabatrin in epileptic spasms

Junhyung Kim1, Min-Jee Kim2, Hyun-Jin Kim2

  • 1Department of Neurosurgery, Asan Medical Center, Seoul, Republic of Korea.

Frontiers in Neurology
|July 10, 2023
PubMed

Insights

Electroencephalogram (EEG) functional connectivity can predict vigabatrin treatment response in infants with epileptic spasms (ES). Higher beta connectivity suggests a positive response, while lower alpha connectivity indicates a poorer outcome.

Area of Science:

  • Neuroscience
  • Pediatric Neurology
  • Clinical Electrophysiology

Background:

  • Epileptic spasms (ES) in infants present a significant clinical challenge.
  • Identifying reliable predictors of treatment response is crucial for optimizing patient care.

Purpose of the Study:

  • To identify electrophysiologic markers using EEG functional connectivity that correlate with clinical responses to vigabatrin treatment in infants with ES.
  • To explore the relationship between EEG functional connectivity patterns and treatment outcomes in infantile spasms.

Main Methods:

  • Descriptive analysis of ES patients and age-matched healthy controls.
  • Electroencephalogram (EEG) data acquisition during the interictal sleep state.
  • Weighted phase-lag index (wPLI) analysis to assess functional connectivity across frequency and spatial domains.

Main Results:

  • Infants with ES showed increased delta and theta power compared to controls.
  • ES subjects exhibited higher global functional connectivity (wPLI) than controls.
  • Favorable treatment responders had higher beta connectivity (parieto-occipital regions); poorer responders had lower alpha connectivity (frontal regions).
  • Structural abnormalities correlated with reduced functional connectivity, suggesting preserved integrity predicts better vigabatrin response.

Conclusions:

  • EEG functional connectivity analysis shows promise for predicting early treatment response in infants with ES.
  • Specific connectivity patterns (beta and alpha) may serve as biomarkers for vigabatrin efficacy.
  • Preserved structural and functional brain integrity is associated with favorable outcomes in ES patients treated with vigabatrin.
Abstract

Keywords:
West syndromeelectroencephalographyfunctional connectivity networkinfantile spasmsweighted phase lag index (wPLI)

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