ArticleScientific reports2021
Zero-crossing patterns reveal subtle epileptiform discharges in the scalp EEG.
Article in Scientific reports, 2021. 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.
- Article
- Population-based spectral characteristics of normal interictal scalp EEG inform diagnosis and treatment planning in focal epilepsy.Scientific reports · 2025Article
- Increased coherence predicts medical refractoriness in patients with temporal lobe epilepsy on monotherapy.Scientific reports · 2024Article
- The network is more important than the node: stereo-EEG evidence of neurocognitive networks in epilepsy.Frontiers in network physiology · 2024Article
- Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning.Scientific reports · 2023Article
- Extracting the Invisible: Mesial Temporal Source Detection in Simultaneous EEG and SEEG Recordings.Brain topography · 2023Article
- Spike count and morphology in the classification of epileptiform discharges.Frontiers in neurology · 2023Article
- Increased delta power as a scalp marker of epileptic activity: a simultaneous scalp and intracranial electroencephalography study.European journal of neurology · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
Clinical diagnosis of epilepsy depends heavily on the detection of interictal epileptiform discharges (IEDs) from scalp electroencephalographic (EEG) signals, which by purely visual means is far from straightforward. Here, we introduce a simple signal analysis procedure based on scalp EEG zero-crossing patterns which can extract the spatiotemporal structure of scalp voltage fluctuations. We analyzed simultaneous scalp and intracranial EEG recordings from patients with pharmacoresistant temporal lobe epilepsy. Our data show that a large proportion of intracranial IEDs manifest only as subtle, low-amplitude waveforms below scalp EEG background and could, therefore, not be detected visually. We found that scalp zero-crossing patterns allow detection of these intracranial IEDs on a single-trial level with millisecond temporal precision and including some mesial temporal discharges that do not propagate to the neocortex. Applied to an independent dataset, our method discriminated accurately between patients with epilepsy and normal subjects, confirming its practical applicability.
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