Evidence map›Paper›PMID 38667978›Full record

ArticleJournal of imaging2024

Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing.

N C D Fonseca, Jason Bowerman, Pegah Askari, Amy L Proskovec, Fabricio Stewan Feltrin, Daniel Veltkamp, Heather Early, Ben C Wagner, Elizabeth M Davenport, Joseph A Maldjian

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2024. 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
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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 at 3 institutions in 1 country.

N C D FonsecaMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Jason BowermanAdvanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Pegah AskariMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0003-1516-6831
Amy L ProskovecMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Fabricio Stewan FeltrinMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Daniel VeltkampMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Heather EarlyMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Ben C WagnerAdvanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0003-2835-986X
Elizabeth M DavenportMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-8765-6584
Joseph A MaldjianMEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Southwestern Medical Center · USThe University of Texas Southwestern Medical Center · USThe University of Texas at Arlington · US

Funding

The Hoblitzelle Foundation Philanthropic Gift
6 · The paper itself

Abstract

Magnetoencephalography (MEG) is a noninvasive neuroimaging technique widely recognized for epilepsy and tumor mapping. MEG clinical reporting requires a multidisciplinary team, including expert input regarding each dipole's anatomic localization. Here, we introduce a novel tool, the "Magnetoencephalography Atlas Viewer" (MAV), which streamlines this anatomical analysis. The MAV normalizes the patient's Magnetic Resonance Imaging (MRI) to the Montreal Neurological Institute (MNI) space, reverse-normalizes MNI atlases to the native MRI, identifies MEG dipole files, and matches dipoles' coordinates to their spatial location in atlas files. It offers a user-friendly and interactive graphical user interface (GUI) for displaying individual dipoles, groups, coordinates, anatomical labels, and a tri-planar MRI view of the patient with dipole overlays. It evaluated over 273 dipoles obtained in clinical epilepsy subjects. Consensus-based ground truth was established by three neuroradiologists, with a minimum agreement threshold of two. The concordance between the ground truth and MAV labeling ranged from 79% to 84%, depending on the normalization method. Higher concordance rates were observed in subjects with minimal or no structural abnormalities on the MRI, ranging from 80% to 90%. The MAV provides a straightforward MEG dipole anatomic localization method, allowing a nonspecialist to prepopulate a report, thereby facilitating and reducing the time of clinical reporting.

Indexed as

atlasautomateddipolelabelingmagnetoencephalographysoftware application

Identifiers

PMID38667978
PMCPMC11051542
OpenAlexW4393279752

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.