Evidence map›Paper›PMID 29746391›Full record

ArticleJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society2018

Magnetoencephalographic Mapping of Epileptic Spike Population Using Distributed Source Analysis: Comparison With Intracranial Electroencephalographic Spikes.

Naoaki Tanaka, Christos Papadelis, Eleonora Tamilia, Joseph R Madsen, Phillip L Pearl, Steven M Stufflebeam

Abstract readComparative Study
In one paragraph

Article in Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Electromagnetic source imaging predicts surgical outcome in children with focal cortical dysplasia.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  2. Article
  3. Article
  4. Assessing the localization accuracy and clinical utility of electric and magnetic source imaging in children with epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    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

6 authors.

Naoaki TanakaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, U.S.A.
Christos PapadelisFetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, U.S.A.
Eleonora TamiliaFetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, U.S.A.
Joseph R MadsenDivision of Epilepsy Surgery, Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, U.S.A.
Phillip L PearlDivision of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, U.S.A.
Steven M StufflebeamAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, U.S.A.

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI POMEROY, SCOTT LOREN · 2016 to 2020
$5.2M
Functional Connectivity of Intrinsic Brain Activity for Presurgical MappingR01NS069696 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI STUFFLEBEAM, STEVEN · 2011 to 2015
$2.9M
NIBIB NIH HHS P41 EB015896NICHD NIH HHS U54 HD090255NINDS NIH HHS R01 NS069696
6 · The paper itself

Abstract

introductionThis study evaluates magnetoencephalographic (MEG) spike population as compared with intracranial electroencephalographic (IEEG) spikes using a quantitative method based on distributed source analysis.

methodsWe retrospectively studied eight patients with medically intractable epilepsy who had an MEG and subsequent IEEG monitoring. Fifty MEG spikes were analyzed in each patient using minimum norm estimate. For individual spikes, each vertex in the source space was considered activated when its source amplitude at the peak latency was higher than a threshold, which was set at 50% of the maximum amplitude over all vertices. We mapped the total count of activation at each vertex. We also analyzed 50 IEEG spikes in the same manner over the intracranial electrodes and created the activation count map. The location of the electrodes was obtained in the MEG source space by coregistering postimplantation computed tomography to MRI. We estimated the MEG- and IEEG-active regions associated with the spike populations using the vertices/electrodes with a count over 25.

resultsThe activation count maps of MEG spikes demonstrated the localization associated with the spike population by variable count values at each vertex. The MEG-active region overlapped with 65 to 85% of the IEEG-active region in our patient group.

conclusionsMapping the MEG spike population is valid for demonstrating the trend of spikes clustering in patients with epilepsy. In addition, comparison of MEG and IEEG spikes quantitatively may be informative for understanding their relationship.

Indexed as

ElectrocorticographyMagnetoencephalographyAdolescentBrainBrain MappingChildChild, PreschoolDrug Resistant EpilepsyFemaleHumansMalePreoperative CareRetrospective StudiesSignal Processing, Computer-Assisted

Identifiers

PMID29746391
PMCPMC6035071

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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.