ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2019
The seizure onset zone drives state-dependent epileptiform activity in susceptible brain regions.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Discovering Novel intracranial EEG Biomarkers of Seizure Generating Tissue through Time-Frequency Analysis.medRxiv : the preprint server for health sciences · 2026Article
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 2026Article
- Predicting Surgical Outcome in Drug-Resistant Epilepsy by Combining Interictal Biomarkers within a Machine Learning Framework.Research square · 2026Article
- Machine learning detection of epileptic seizure onset zone from iEEG.Biomedical engineering letters · 2025Review
- Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy.NPJ digital medicine · 2025Article
- Interictal spikes and evoked cortical potentials share common spatiotemporal constraints in human epilepsy.Frontiers in network physiology · 2025Article
- Co-activation of interictal epileptiform discharges localizes seizure onset zone and fluctuates with brain state.Brain communications · 2025Article
- Focal seizures induce spatiotemporally organized spiking activity in the human cortex.Nature communications · 2024Article
- Article
- High frequency oscillations in relation to interictal spikes in predicting postsurgical seizure freedom.Scientific reports · 2023Article
- Identifying sources of human interictal discharges with travelling wave and white matter propagation.Brain : a journal of neurology · 2023Article
- Interictal discharges in the human brain are travelling waves arising from an epileptogenic source.Brain : a journal of neurology · 2023Article
- Spike patterns surrounding sleep and seizures localize the seizure-onset zone in focal epilepsy.Epilepsia · 2023Article
- Factors correlated with intracranial interictal epileptiform discharges in refractory epilepsy.Epilepsia · 2021Article
- Old Diagnostic Meets Newer Therapy; ECoG During LiTT.Epilepsy currentsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveDue to variability in the patterns of propagation of interictal epileptiform discharges (IEDs), qualitative definition of the irritative zone has been challenging. Here, we introduce a quantitative approach toward exploration of the dynamics of IED propagation within the irritative zone.
methodsWe examined intracranial EEG (iEEG) in nine participants undergoing invasive monitoring for seizure localization. We used an automated IED detector and a community detection algorithm to identify populations of electrodes exhibiting IED activity that co-occur in time, and to group these electrodes into communities.
resultsWithin our algorithmically-identified communities, IED activity in the seizure onset zone (SOZ) tended to lead IED activity in other functionally coupled brain regions. The tendency of pathological activity to arise in the SOZ, and to spread to non-SOZ tissues, was greater in the asleep state.
conclusionsIED activity, and, by extension, the variability observed between the asleep and awake states, is propagated from a core seizure focus to nearby less pathological brain regions. SIGNIFICANCE: Using an unsupervised, computational approach, we show that the spread of IED activity through the epilepsy network varies with physiologic state.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.