ArticleFrontiers in neurology2023
Electrophysiological network predicts clinical response to vigabatrin in epileptic spasms.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling.Epilepsia open · 2026Article
- Electrophysiological readout of ACTH-related neuroendocrine-immunomodulatory treatment response in infantile epileptic spasms syndrome: suppression of scalp ripple propagation networks.Frontiers in immunology · 2026Article
- Predictive model for initial response to first-line treatment in children with infantile epileptic spasms syndrome.Italian journal of pediatrics · 2025Article
- Identification of topological alterations using microstate dynamics in patients with infantile epileptic spasms syndrome.Scientific reports · 2025Article
- Computational EEG attributes predict response to therapy for epileptic spasms.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Mean global field power is reduced in infantile epileptic spasms syndrome after response to vigabatrin.Frontiers in neurology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aimed to discover electrophysiologic markers correlated with clinical responses to vigabatrin-based treatment in infants with epileptic spasms (ES). Method: The study involved a descriptive analysis of ES patients from a single institution, as well as electroencephalogram (EEG) analyses of 40 samples and 20 age-matched healthy infants. EEG data were acquired during the interictal sleep state prior to the standard treatment. The weighted phase-lag index (wPLI) functional connectivity was explored across frequency and spatial domains, correlating these results with clinical features. Results: Infants with ES exhibited diffuse increases in delta and theta power, differing from healthy controls. For the wPLI analysis, ES subjects exhibited higher global connectivity compared to control subjects. Subjects who responded favorably to treatment were characterized by higher beta connectivity in the parieto-occipital regions, while those with poorer outcomes exhibited lower alpha connectivity in the frontal regions. Individuals with structural neuroimaging abnormalities exhibited correspondingly low functional connectivity, implying that ES patients who maintain adequate structural and functional integrity are more likely to respond favorably to vigabatrin-based treatments. Conclusion: This study highlights the potential utility of EEG functional connectivity analysis in predicting early response to treatments in infants with ES.
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