Evidence map›Paper›PMID 29024165›Full record

ArticleHuman brain mapping2018

Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method.

Giovanni Pellegrino, Tanguy Hedrich, Rasheda Arman Chowdhury, Jeffery A Hall, Francois Dubeau, Jean-Marc Lina, Eliane Kobayashi, Christophe Grova

Open access · bronzeAbstract readComparative StudyValidation Study
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% of its field
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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  5. Magnetoencephalography distributed source modeling identifies spatiotemporal propagation patterns of interictal epileptiform discharges.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
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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

8 authors at 3 institutions in 2 countries.

Giovanni PellegrinoMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-1195-1421
Tanguy HedrichMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada.
Rasheda Arman ChowdhuryMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada.ORCID 0000-0001-9691-594X
Jeffery A HallNeurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Francois DubeauNeurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Jean-Marc LinaDepartement de Génie Electrique, Ecole de Technologie Supérieure, Montreal, Quebec, Canada.
Eliane KobayashiNeurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Christophe GrovaMultimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada.
Montreal Neurological Institute and Hospital · CAMcGill University · CAHôpital du Sacré-Cœur de Montréal · CA

Funding

CIHR MOP‐93614
6 · The paper itself

Abstract

objectiveSource localization of interictal epileptic discharges (IEDs) is clinically useful in the presurgical workup of epilepsy patients. It is usually obtained by equivalent current dipole (ECD) which localizes a point source and is the only inverse solution approved by clinical guidelines. In contrast, magnetic source imaging using distributed methods (dMSI) provides maps of the location and the extent of the generators, but its yield has not been clinically validated. We systematically compared ECD versus dMSI performed using coherent Maximum Entropy on the Mean (cMEM), a method sensitive to the spatial extent of the generators.

methods340 source localizations of IEDs derived from 49 focal epilepsy patients with foci well-defined through intracranial EEG, MRI lesions, and surgery were analyzed. The comparison was based on the assessment of the sublobar concordance with the focus and of the distance between the source and the focus.

resultsdMSI sublobar concordance was significantly higher than ECD (81% vs 69%, P < 0.001), especially for extratemporal lobe sources (dMSI = 84%; ECD = 67%, P < 0.001) and for seizure free patients (dMSI = 83%; ECD = 70%, P < 0.001). The median distance from the focus was 4.88 mm for ECD and 3.44 mm for dMSI (P < 0.001). ECD dipoles were often wrongly localized in deep brain regions.

conclusionsdMSI using cMEM exhibited better accuracy. dMSI also offered the advantage of recovering more realistic maps of the generator, which could be exploited for neuronavigation aimed at targeting invasive EEG and surgical resection. Therefore, dMSI may be preferred to ECD in clinical practice. Hum Brain Mapp 39:218-231, 2018. © 2017 Wiley Periodicals, Inc.

Indexed as

AdolescentAdultBrainBrain MappingCohort StudiesDrug Resistant EpilepsyElectroencephalographyEpilepsies, PartialFemaleHumansMagnetic Resonance ImagingMagnetoencephalographyMaleMalformations of Cortical DevelopmentMiddle AgedMultimodal Imagingdipoledistributed sourceinterictal epileptiform dischargesmagnetic source imagingMEGpresurgical evaluationsource localizationspikesurgery

Identifiers

PMID29024165
PMCPMC6866318
OpenAlexW2763898130

What OpenQuestion holds

Textmetadata
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.