ArticleScientific reports2019
Revealing epilepsy type using a computational analysis of interictal EEG.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 32 citations in OpenAlex.
- Out of the lab, into real life: Evaluating at-home EEG self-monitoring.Epilepsia open · 2026Article
- Alterations in topology, cost, and dynamics of gamma-band EEG functional networks in a preclinical model of traumatic brain injury.Network neuroscience (Cambridge, Mass.) · 2025Article
- Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review.Computational and structural biotechnology journal · 2024Review
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Treatment effects in epilepsy: a mathematical framework for understanding response over time.Frontiers in network physiology · 2024Article
- [Alterations of β-γ coupling of scalp electroencephalography during epilepsy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Computational methods of EEG signals analysis for Alzheimer's disease classification.Scientific reports · 2023Article
- Computer-assisted analysis of routine electroencephalogram to identify hidden biomarkers of epilepsy: protocol for a systematic review.BMJ open · 2023Article
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Deep Convolutional Gated Recurrent Unit Combined with Attention Mechanism to Classify Pre-Ictal from Interictal EEG with Minimized Number of Channels.Journal of personalized medicine · 2022Article
- Heterogeneity of resting-state EEG features in juvenile myoclonic epilepsy and controls.Brain communications · 2022Article
- Ictal wavefront propagation in slices and simulations with conductance-based refractory density model.PLoS computational biology · 2022Article
- A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease.PLoS computational biology · 2021Article
- A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021Article
- Pannexin-1 Channel Regulates ATP Release in Epilepsy.Neurochemical research · 2020Review
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Authors and funding
6 authors at 3 institutions in 1 country.
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Abstract
Seizure onset in epilepsy can usually be classified as focal or generalized, based on a combination of clinical phenomenology of the seizures, EEG recordings and MRI. This classification may be challenging when seizures and interictal epileptiform discharges are infrequent or discordant, and MRI does not reveal any apparent abnormalities. To address this challenge, we introduce the concept of Ictogenic Spread (IS) as a prediction of how pathological electrical activity associated with seizures will propagate throughout a brain network. This measure is defined using a person-specific computer representation of the functional network of the brain, constructed from interictal EEG, combined with a computer model of the transition from background to seizure-like activity within nodes of a distributed network. Applying this method to a dataset comprising scalp EEG from 38 people with epilepsy (17 with genetic generalized epilepsy (GGE), 21 with mesial temporal lobe epilepsy (mTLE)), we find that people with GGE display a higher IS in comparison to those with mTLE. We propose IS as a candidate computational biomarker to classify focal and generalized epilepsy using interictal EEG.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.