Evidence map›Paper›PMID 34721261›Full record

ReviewFrontiers in neurology2021

Practical Fundamentals of Clinical MEG Interpretation in Epilepsy.

Christopher Laohathai, John S Ebersole, John C Mosher, Anto I Bagić, Ai Sumida, Gretchen Von Allmen, Michael E Funke

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
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  4. Review
  5. Article
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  9. Review
  10. Article
  11. MEG in MRI-Negative Patients with Focal Epilepsy.Journal of clinical medicine · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

7 authors.

Christopher LaohathaiDivision of Child Neurology, Department of Pediatrics, McGovern Medical School at UTHealth, Houston, TX, United States.
John S EbersoleNortheast Regional Epilepsy Group, Atlantic Health Neuroscience Institute, Summit, NJ, United States.
John C MosherDepartment of Neurology, McGovern Medical School at UTHealth, Houston, TX, United States.
Anto I BagićUniversity of Pittsburgh Comprehensive Epilepsy Center (UPCEC), Department of Neurology, University of Pittsburgh Medical Center, Pittsburg, PA, United States.
Ai SumidaDepartment of Neurology, McGovern Medical School at UTHealth, Houston, TX, United States.
Gretchen Von AllmenDivision of Child Neurology, Department of Pediatrics, McGovern Medical School at UTHealth, Houston, TX, United States.
Michael E FunkeDivision of Child Neurology, Department of Pediatrics, McGovern Medical School at UTHealth, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetoencephalography (MEG) is a neurophysiologic test that offers a functional localization of epileptic sources in patients considered for epilepsy surgery. The understanding of clinical MEG concepts, and the interpretation of these clinical studies, are very involving processes that demand both clinical and procedural expertise. One of the major obstacles in acquiring necessary proficiency is the scarcity of fundamental clinical literature. To fill this knowledge gap, this review aims to explain the basic practical concepts of clinical MEG relevant to epilepsy with an emphasis on single equivalent dipole (sECD), which is one the most clinically validated and ubiquitously used source localization method, and illustrate and explain the regional topology and source dynamics relevant for clinical interpretation of MEG-EEG.

Indexed as

epilepsyepilepsy surgeryequivalent current dipolemagnetic source imagingmagnetoencephalography

Identifiers

PMID34721261
PMCPMC8551575

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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.