Evidence map›Paper›PMID 42423621›Full record

ArticleEpilepsia2026

Complementary predictive value of electromagnetic source imaging and hemodynamic responses in epilepsy surgery: A quantitative spatial analysis.

Chifaou Abdallah, Edouard Delaire, Arielle Dascal, Aura González, Zhengchen Cai, Tanguy Hedrich, Hassan Khajehpour, Satoru Ikemoto, Masataka Tanaka, Boris C Bernhardt and 4 more

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Chifaou AbdallahMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0001-7232-6673
Edouard DelaireMultimodal Functional Imaging Lab, Department of Physics, Concordia University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0003-1421-1071
Arielle DascalMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0009-0009-3327-2313
Aura GonzálezMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0009-0007-1509-2699
Zhengchen CaiMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-4233-5568
Tanguy HedrichMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-6238-5415
Hassan KhajehpourMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0009-0002-1165-4870
Satoru IkemotoMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0003-4021-0435
Masataka TanakaMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.
Boris C BernhardtMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0001-9256-6041
Eliane KobayashiDepartment of Neurology and Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-1713-1563
Jean GotmanMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-9796-5946
Birgit FrauscherMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0001-6064-1529
Christophe GrovaMontreal Neurological Institute and Hospital, McGill University, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0003-2775-9968

Funding

CIHR PJT-159448(CG)CIHR PJT-175056(BF)Fonds de Recherche du Québec - SantéSavoy Foundation
6 · The paper itself

Abstract

objectiveAccurate presurgical evaluation should assess not only the location but also the spatial extent of epileptic activity relative to the surgical cavity, a practical approximation of the epileptogenic zone. We evaluated how electromagnetic source imaging (EMSI) and hemodynamic responses to epileptic discharges relate to the surgical cavity and postoperative outcome, and whether multimodal concordance improves surgical prediction.

methodsConsecutive patients with drug-resistant focal epilepsy who underwent electroencephalography/magnetoencephalography (EEG/MEG), and EEG/functional magnetic resonance imaging (EEG/fMRI) followed by surgery and ≥1-year postoperative follow-up were included. EMSI was performed using maximum entropy on the mean. The most significant fMRI cluster was extracted. All results were projected onto a common cortical surface. Spatial concordance with the surgical cavity was quantified using spatial overlap (area under the receiver operating characteristic curve [AUC]), distance localization error (DLE), and spatial dispersion (SD). Predictive performance was evaluated using a combined spatial criterion (AUC >0.70 and DLE = 0 mm).

resultsTwenty-five patients were included. EEG/MEG, EEG/fMRI, and multimodal analyses were contributive in 23, 14, and 12 patients, respectively. In the EEG/MEG group (n = 23), patients with good outcome showed higher spatial overlap (mean ± standard deviation, AUC: 0.70 ± 0.14 vs 0.56 ± 0.18; p = 0.04), shorter DLE (4.83 ± 6.80 mm vs 17.98 ± 14.39 mm; p = 0.02), and a trend toward lower SD (24.45 ± 17.07 mm vs 34.21 ± 14.22 mm; p = 0.08) than patients with poor outcome. EEG/fMRI (n = 14) exhibited similar trends without statistical significance. In predicting surgical outcome, EMSI achieved a negative predictive value of 62% and an accuracy of 61%, whereas EEG/fMRI reached 83% and 86%, respectively. When both modalities were considered (n = 12), all patients with concordant resected findings achieved a good outcome, whereas 8 of 10 patients with discordant results did not. SIGNIFICANCE: EEG/MEG and EEG/fMRI showed complementary profiles. Resection of EEG/MEG localizations were more frequently associated with good outcome, whereas unresected EEG/fMRI responses predicted poor outcome. Concordant and resected multimodal findings were associated with good outcome, supporting a quantitative multimodal approach in presurgical evaluation.

Indexed as

BrainDrug Resistant EpilepsyElectroencephalographyEpilepsies, PartialHemodynamicsMagnetoencephalographyAdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMultimodal ImagingPredictive Value of TestsTreatment OutcomeEEG/fMRIepileptogenic zoneMEGmultimodalsurgical outcome

Identifiers

PMID42423621
PMCPMC13592480

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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.