Evidence map›Paper›PMID 40819174›Full record

ArticleScientific data2025

High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome.

Bernd J Vorderwülbecke, Margherita Carboni, Sebastien Tourbier, Laurent Spinelli, Denis Brunet, Martin Seeber, Christian M Korff, Shahan Momjian, Maria Vargas, Margitta Seeck and 2 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Bernd J VorderwülbeckeEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0002-0528-4001
Margherita CarboniEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0003-0426-8242
Sebastien TourbierConnectomics Lab, Department of Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland.ORCID 0000-0002-4441-899X
Laurent SpinelliEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0001-7682-2041
Denis BrunetFunctional Brain Mapping Lab, Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202, Geneva, Switzerland.
Martin SeeberFunctional Brain Mapping Lab, Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202, Geneva, Switzerland.ORCID 0000-0002-7891-5636
Christian M KorffNeuropediatrics Unit, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0002-3328-7680
Shahan MomjianDepartment of Neurosurgery, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0002-3886-0159
Maria VargasDepartment of Neuroradiology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0002-6571-5336
Margitta SeeckEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.ORCID 0000-0002-6702-0167
Serge Vulliemoz *EEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland. serge.vulliemoz@hcuge.ch.ORCID 0000-0002-1877-8625
Jonathan Wirsich *EEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland. jonathan.wirsich@unige.ch.ORCID 0000-0003-0588-9710

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 422589384Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 163398Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 180365
6 · The paper itself

Abstract

Electroencephalographic source localisation (ESL) of interictal epileptiform discharges is a valuable tool for presurgical evaluation of pharmacoresistant focal epilepsy. Various forward models, inverse solutions algorithms, and software packages have been published. However, clinical validation studies are based on heterogenous end points and study cohorts. To allow comparison of different interictal ESL methods within one standardised dataset, we provide deidentified clinical data of 44 well-characterised patients with pharmacoresistant focal epilepsy and a first resective surgery, validated by 12-month postsurgical outcome. Thirty patients had favourable outcomes, including 28 with complete seizure freedom, indicating that the epileptogenic zone was correctly estimated. For each patient, pre-processed individual structural MRI, 257-channel EEG averages of homologous discharges, postsurgical structural neuroimaging, and detailed clinical and technical information are given. In patients with favourable outcomes, source maxima of averaged discharges were <10 mm remote from the resection in 67% and within a sublobe affected by the surgery in 83%. Future validation studies of new ESL approaches can be compared to this benchmark.

Indexed as

Drug Resistant EpilepsyElectroencephalographyEpilepsies, PartialEpilepsyAdultFemaleHumansMagnetic Resonance ImagingMale

Identifiers

PMID40819174
PMCPMC12357902

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Registered trials

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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.