ArticleFrontiers in network physiology2022
A Peri-Ictal EEG-Based Biomarker for Sudden Unexpected Death in Epilepsy (SUDEP) Derived From Brain Network Analysis.
Article in Frontiers in network physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- Cardiorespiratory cross-frequency coupling biomarker for sudden unexpected death in epilepsy.Epilepsia · 2026Article
- A companion to the development of common data elements for Sudden Unexpected Death in Epilepsy (SUDEP).Epilepsia open · 2025Article
- Sudden unexpected death in epilepsy: respiratory vs. cardiac contributions.Cardiovascular research · 2025Review
- Low-density scalp electrical source imaging of the ictal onset zone network using source coherence maps.Frontiers in neurology · 2024Article
- Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends.Bioengineering (Basel, Switzerland) · 2023Review
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders.Frontiers in network physiology · 2023Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Sudden unexpected death in epilepsy (SUDEP) is the leading seizure-related cause of death in epilepsy patients. There are no validated biomarkers of SUDEP risk. Here, we explored peri-ictal differences in topological brain network properties from scalp EEG recordings of SUDEP victims. Functional connectivity networks were constructed and examined as directed graphs derived from undirected delta and high frequency oscillation (HFO) EEG coherence networks in eight SUDEP and 14 non-SUDEP epileptic patients. These networks were proxies for information flow at different spatiotemporal scales, where low frequency oscillations coordinate large-scale activity driving local HFOs. The clustering coefficient and global efficiency of the network were higher in the SUDEP group pre-ictally, ictally and post-ictally (
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