Evidence map›Paper›PMID 33103279›Full record

ArticleThe European journal of neuroscience2021

Using the MoBI motion capture system to rapidly and accurately localize EEG electrodes in anatomic space.

Kevin A Mazurek, Eleni Patelaki, John J Foxe, Edward G Freedman

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Kevin A MazurekThe Cognitive Neurophysiology Laboratory, The Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.ORCID 0000-0002-9002-2339
Eleni PatelakiDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA.ORCID 0000-0001-7036-3876
John J FoxeThe Cognitive Neurophysiology Laboratory, The Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.ORCID 0000-0002-4300-3098
Edward G FreedmanThe Cognitive Neurophysiology Laboratory, The Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.ORCID 0000-0001-8570-6325

Funding

University of Rochester Intellectual and Developmental Disabilities Research CenterP50HD103536 · NICHD · UNIVERSITY OF ROCHESTER · PI Leona Ashley Oakes · 2020 to 2026
$9.8M
16/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UNIVERSITY OF ROCHESTERU01DA050988 · NIDA · UNIVERSITY OF ROCHESTER · PI JOHN J FOXE, EDWARD G FREEDMAN · 2020 to 2026
$7.6M
Institutional Career Development CoreKL2TR001999 · NCATS · UNIVERSITY OF ROCHESTER · PI XIAO, JIN · 2016 to 2024
$5.2M
NCATS NIH HHS KL2 TR001999NICHD NIH HHS P50 HD103536
6 · The paper itself

Abstract

During mobile brain/body imaging (MoBI) experiments, electroencephalography and motion capture systems are used in concert to record high temporal resolution neural activity and movement kinematics while participants perform demanding perceptual and cognitive tasks in a naturalistic environment. A typical MoBI setup involves positioning multi-channel electrode caps based on anatomical fiducials as well as experimenter and participant intuition regarding the scalp midpoint location (i.e., Cz). Researchers often use the "template" electrode locations provided by the manufacturer, however, the "actual" electrode locations can vary based on each participant's head morphology. Accounting for differences in head morphologies could provide more accurate clinical diagnostic information when using MoBI to identify neurological deficits in patients with motor, sensory, or cognitive impairments. Here, we asked whether the existing motion capture system used in a MoBI setup could be easily adapted to improve spatial localization of electrodes across participants without requiring additional or specialized equipment that might impede clinical adoption. Using standard electrode configurations, infrared markers were placed on a subset of electrodes and anatomical fiducials, and the remaining electrode locations were estimated using spherical or ellipsoid models. We identified differences in event-related potentials between "template" and "actual" electrode locations during a Go/No-Go task (p < 9.8e-5) and an object-manipulation task (p < 9.8e-5). Thus, the motion capture system already used in MoBI experiments can be effectively deployed to accurately register and quantify the neural activity. Improving the spatial localization without needing specialized hardware or additional setup time to the workflow has important real-world implications for translating MoBI to clinical environments.

Indexed as

BrainElectroencephalographyBrain MappingElectrodesHumansScalpEEGelectrode locationsmotion capture

Identifiers

PMID33103279
PMCPMC8573528

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.