Evidence map›Paper›PMID 40996556›Full record

ArticleBrain topography2025

Neuroimaging of Ictal MEG: An Evaluation of Magnetic Source Imaging Techniques.

Natascha Cardoso da Fonseca, Pegah Askari, Amy L Proskovec, Tyrell Pruitt, Sasha Alick-Lindstrom, Irina Podkorytova, Andrea Lowden, Afsaneh Talai, Joseph A Maldjian, Elizabeth M Davenport

Abstract read
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In one paragraph

Article in Brain topography, 2025. 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

10 authors.

Natascha Cardoso da FonsecaDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA. Natascha.cardosodafonseca@utsouthwestern.edu.ORCID 0000-0003-0148-5313
Pegah AskariDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA.ORCID 0000-0003-1516-6831
Amy L ProskovecDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA.ORCID 0000-0001-7660-0318
Tyrell PruittDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA.ORCID 0000-0003-2134-5043
Sasha Alick-LindstromDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA.ORCID 0000-0002-5859-0862
Irina PodkorytovaDepartment of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-2143-3123
Andrea LowdenDepartment of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-3204-0790
Afsaneh TalaiDepartment of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-6478-325X
Joseph A MaldjianDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA.ORCID 0000-0002-6384-1072
Elizabeth M DavenportDepartment of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-8542, USA.ORCID 0000-0002-8765-6584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetoencephalography (MEG) is a valuable tool in the presurgical workup of refractory epilepsy patients. Ictal Magnetic Source Imaging (MSI) can more accurately localize the ictal onset zone, aiding presurgical planning. Nevertheless, the optimal approach for ictal MSI remains undetermined. To evaluate the effectiveness of distinct ictal MSI techniques, assessing their performance based on the ictal onset pattern (IOP). Design: Retrospective study. 16 ictal MEG events from 12 epilepsy patients were retrospectively analyzed. Techniques employed include the traditional sECD, and alternative approaches comprising the linearly constrained minimum variance (LCMV) beamforming, kurtosis beamforming, and dynamic statistical parametric mapping (dSPM). Seizures were classified into IOP groups: ictal discharge, rhythmic activity (RA), slow RA, and fast activity. Sublobar and lobar concordance and the minimum Euclidean distance (Dmin) were evaluated using SEEG data as ground truth. sECD fitting failed for three seizures, whereas alternative techniques demonstrated superiority. LCMV showed the highest sublobar concordance. No significant differences in Dmin across techniques were found. All techniques performed better in the ictal discharge group. Performance declined in the rhythmic activity IOP group, especially in lower frequencies, although LCMV performed better. ECD, beamforming, and dSPM are effective techniques for ictal MEG analysis. Beamforming techniques are particularly important when ECD is unsuitable. The IOP should be considered when selecting the appropriate ictal MSI technique. Optimizing MSI techniques and customizing them based on seizure characteristics can aid in invasive study planning and potentially improve post-surgical outcomes.

Indexed as

BrainDrug Resistant EpilepsyEpilepsyMagnetoencephalographyNeuroimagingSeizuresAdolescentAdultBrain MappingChildElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedEpilepsyIctal MEGMagnetic source imagingMagnetoencephalographySeizures

Identifiers

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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.