ArticleHuman brain mapping2020
Learning to define an electrical biomarker of the epileptogenic zone.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Thalamo-cortical synchrony shapes seizure expression in human temporal lobe epilepsy.Nature communications · 2026Article
- Spike-fast activity interplay: A gateway to seizure.Epilepsia · 2026Article
- Harmonic patterns embedded in ictal EEG signals in focal epilepsy: new insight into the epileptogenic zone.BMC medicine · 2026Article
- Machine learning-based lateralization and localization of seizure onset in focal cortical dysplasia patients using ictal scalp EEG.Frontiers in neuroscience · 2026Article
- Time-Frequency Fingerprint Analysis in SEEG Source-Space to Identify the Epileptogenic Zone.Annals of clinical and translational neurology · 2025Article
- SEEG in 2025: progress and pending challenges in stereotaxy methods, biomarkers and radiofrequency thermocoagulation.Current opinion in neurology · 2025Review
- A spatial perturbation framework to validate implantation of the epileptogenic zone.Nature communications · 2024Article
- Generalisability of epileptiform patterns across time and patients.Scientific reports · 2024Article
- The role of superficial and deep layers in the generation of high frequency oscillations and interictal epileptiform discharges in the human cortex.Scientific reports · 2023Article
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
- Article
- Automatic Localization of Seizure Onset Zone Based on Multi-Epileptogenic Biomarkers Analysis of Single-Contact from Interictal SEEG.Bioengineering (Basel, Switzerland) · 2022Article
- Interictal SEEG Resting-State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Novel User-Friendly Application for MRI Segmentation of Brain Resection following Epilepsy Surgery.Diagnostics (Basel, Switzerland) · 2022Article
- Brain network analysis of interictal epileptiform discharges from ECoG to identify epileptogenic zone in pediatric patients with epilepsy and focal cortical dysplasia type II: A retrospective study.Frontiers in neurology · 2022Article
- Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation.Brain sciences · 2021Article
- Language Mapping Using Stereo Electroencephalography: A Review and Expert Opinion.Frontiers in human neuroscience · 2021Review
- Learning to define an electrical biomarker of the epileptogenic zone.Human brain mapping · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The role of fast activity as a potential biomarker in localization of the epileptogenic zone (EZ) remains controversial due to recently reported unsatisfactory performance. We recently identified a "fingerprint" of the EZ as a time-frequency pattern that is defined by a combination of preictal spike(s), fast oscillatory activity, and concurrent suppression of lower frequencies. Here we examine the generalizability of the fingerprint in application to an independent series of patients (11 seizure-free and 13 non-seizure-free after surgery) and show that the fingerprint can also be identified in seizures with lower frequency (such as beta) oscillatory activity. In the seizure-free group, only 5 of 47 identified EZ contacts were outside the resection. In contrast, in the non-seizure-free group, 104 of 142 identified EZ contacts were outside the resection. We integrated the fingerprint prediction with the subject's MR images, thus providing individualized anatomical estimates of the EZ. We show that these fingerprint-based estimates in seizure-free patients are almost always inside the resection. On the other hand, for a large fraction of the nonseizure-free patients the estimated EZ was not well localized and was partially or completely outside the resection, which may explain surgical failure in such cases. We also show that when mapping fast activity alone onto MR images, the EZ was often over-estimated, indicating a reduced discriminative ability for fast activity relative to the full fingerprint for localization of the EZ.
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