Evidence map›Paper›PMID 32822693›Full record

ArticleJournal of neuroscience methods2020

A surface metric and software toolbox for EEG electrode grids in the macaque.

Fan Li, Tobias Teichert

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Fan LiDepartment of Psychiatry, University of Pittsburgh, PA.
Tobias TeichertDepartment of Bioengineering, University of Pittsburgh, PA. Electronic address: Teichert@pitt.edu.
University of Pittsburgh · US

Funding

Understanding the synaptic, cellular and circuit events of MEG & EEG using a vertically translational cross-species approachRF1MH114223 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SALISBURY, DEAN F · 2017 to 2018
$4.0M
Echoic Memory Function and Physiology in the Rhesus MacaqueR01MH120117 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TEICHERT, TOBIAS · 2019 to 2023
$2.0M
Neural networks of auditory refractoriness and mismatch generation in the rhesus macaqueR21MH113041 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TEICHERT, TOBIAS · 2017 to 2018
$425k
NIMH NIH HHS R01 MH120117NIMH NIH HHS R21 MH113041NIMH NIH HHS RF1 MH114223
6 · The paper itself

Abstract

backgroundThe past years have seen increased appreciation of electroencephalographic (EEG) recordings in non-human primates (NHP) as a tool for translational research. In humans, even large EEG electrode grids can easily and quickly be placed on standardized positions using commercially available EEG caps. In the NHP, the identification of standardized EEG electrode positions is more complicated and time-consuming. NEW

methodHere we introduce a surface metric and software package (NHP1020) that automates the planning of large, approximately evenly spaced electrode grids for EEG recordings in the NHP.

resultsBased on one CT and one MRI image as well as two intracranial markers, the NHP1020 software defines electrode positions on the brain surface using a surface-based spherical metric similar to the one used by the international 10-20 system. Standardized electrode grids can be shared, imported or defined with few high-level commands. EXISTING

methodsNHP EEG electrodes can be placed relative to extracranial markers and measurements or relative to underlying neural structures of interest. Both approaches are time-consuming and require manual intervention. Furthermore, the use of extracranial markers in this species may be more problematic than in humans, because cranial muscles and ridges are larger and keep maturing long into adulthood.

conclusionThe presented surface metric and the NHP1020 toolbox provide fast and automated identification of entire electrode grids in the non-human primate based on a two-dimensional metric on the brain surface.

Indexed as

ElectroencephalographyMacacaAnimalsBrainElectrodesMagnetic Resonance ImagingSoftware10-20 systemEEGNon-human primates

Identifiers

PMID32822693
PMCPMC7606710
OpenAlexW3067711542

What OpenQuestion holds

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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.