Evidence map›Paper›PMID 42417498›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG.

Jawata Afnan, Maria Fratello, Francesca Bonini, Samuel Medina Villalon, Zhengchen Cai, Jean-Marc Lina, Jean-Michel Badier, Fabrice Bartolomei, Jean Gotman, Christian G Bénar and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

11 authors.

Jawata AfnanMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, Québec, Canada.
Maria FratelloAix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Francesca BoniniAix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Samuel Medina VillalonAix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Zhengchen CaiMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada.
Jean-Marc LinaPhysnum Team, Centre De Recherches Mathématiques, Montréal, Québec, Canada.
Jean-Michel BadierAix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Fabrice BartolomeiAix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Jean GotmanMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada.
Christian G BénarAix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Christophe GrovaMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, Québec, Canada.

Funding

BMWs ANR project ANR-20-CE45-0018CIHR CIHR-FDN143208(JG)CIHR CIHR-PJT-159448(CG)FLAG ERA/HBP grant from Agence Nationale de la recherche "SCALES" ANR-17-HBPR-0005(CGB)Fonds de Recherche du Québec-Santé Doctoral scholarship (JA)France Life Imaging network ANR-11-INBS-0006(CGB)Investissements d'Avenir' of the French Government RHU EPINOV A*MIDEX ANR-17-RHUS-0004(FBa)Irma Bauer PhD Fellowship (Faculty of Medicine and Health Sciences, McGill University) (JA)Natural Sciences and Engineering Research Council of Canada (NSERC) DiscoveryGrantNatural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2025-06816(CG)PhD grant from the Région Sud (MF)
6 · The paper itself

Abstract

Due to the ill-posed nature of source imaging, EEG/MEG source localization remains challenging, particularly for localizing deep brain activity and resting-state signals with low signal-to-noise ratios. Functional connectivity estimated by EEG/MEG is further affected by source-leakage, a spatial blurring effect that complicates interpretation. Validation is therefore essential before applying EEG/MEG source imaging in clinical contexts. Using simultaneous MEG and stereotactic EEG (SEEG) recordings from patients with focal epilepsy, we present a comprehensive validation of MEG source imaging of epileptic discharges, resting-state oscillations, and connectivity. Virtual SEEG was computed from MEG source maps to enable direct quantitative comparison with in situ SEEG. Using the Maximum Entropy on the Mean method, MEG localized the generators of epileptic spikes with a median error of 15 ± 12 mm, with deep generators showing larger errors. MEG-derived resting-state power showed significant spatial correlations with SEEG, with frequency-specific correspondence, stronger in the alpha and beta bands than in the theta band. MEG functional connectomes estimated using leakage-corrected amplitude envelope correlation aligned relatively well with SEEG, whereas connectomes from the leakage-corrected phase-based metric were inaccurate. These findings delineate conditions under which MEG source imaging reliably captures epileptic and resting-state activity, even with low signal-to-noise ratios, and conditions when it is unreliable.

Indexed as

deep brain imagingepilepsyfunctional connectivityMEG source imagingresting state

Identifiers

PMID42417498
PMCPMC13344062

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.