Evidence map›Paper›PMID 32289453›Full record

ArticleNeuroImage2021

The open EEGLAB portal Interface: High-Performance computing with EEGLAB.

Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  13. Moving in response to an unseen visual stimulus.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  14. Article
  15. Review
  16. Non-invasive brain imaging to advance the understanding of human balance.Current opinion in biomedical engineering · 2023
    Article
  17. Physiological and introspective antecedents of tics and movements in adults with tic disorders.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  18. Article
  19. Article
  20. NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data.Database : the journal of biological databases and curation · 2022
    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

9 authors.

Ramón Martínez-CancinoSwartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA; Department of Electrical and Computer Engineering, Jacobs School of Engineering, University of California San Diego, USA. Electronic address: ram033@eng.ucsd.edu.
Arnaud DelormeSwartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA.
Dung TruongSwartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA.
Fiorenzo ArtoniÉcole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Kenneth Kreutz-DelgadoDepartment of Electrical and Computer Engineering, Jacobs School of Engineering, University of California San Diego, USA.
Subhashini SivagnanamSan Diego Supercomputer Center, University of California San Diego, USA.
Kenneth YoshimotoSan Diego Supercomputer Center, University of California San Diego, USA.
Amitava MajumdarSan Diego Supercomputer Center, University of California San Diego, USA.
Scott MakeigSwartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA.

Funding

EEGLAB: Software for Analysis of Human Brain DynamicsR01NS047293 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Arnaud Delorme, Scott Makeig · 2004 to 2026
$10.2M
BRAIN INITIATIVE RESOURCE: DEVELOPMENT OF A HUMAN NEUROELECTROMAGNETIC DATA ARCHIVE AND TOOLS RESOURCE (NEMAR)R24MH120037 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Arnaud Delorme, Amitava Majumdar · 2019 to 2026
$5.5M
The Open EEGLAB Portal ProjectR01EB023297 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DELORME, ARNAUD, MAJUMDAR, AMITAVA · 2017 to 2020
$2.3M
NIBIB NIH HHS R01 EB023297NIMH NIH HHS R24 MH120037NINDS NIH HHS R01 NS047293
6 · The paper itself

Abstract

EEGLAB signal processing environment is currently the leading open-source software for processing electroencephalographic (EEG) data. The Neuroscience Gateway (NSG, nsgportal.org) is a web and API-based portal allowing users to easily run a variety of neuroscience-related software on high-performance computing (HPC) resources in the U.S. XSEDE network. We have reported recently (Delorme et al., 2019) on the Open EEGLAB Portal expansion of the free NSG services to allow the neuroscience community to build and run MATLAB pipelines using the EEGLAB tool environment. We are now releasing an EEGLAB plug-in, nsgportal, that interfaces EEGLAB with NSG directly from within EEGLAB running on MATLAB on any personal lab computer. The plug-in features a flexible MATLAB graphical user interface (GUI) that allows users to easily submit, interact with, and manage NSG jobs, and to retrieve and examine their results. Command line nsgportal tools supporting these GUI functionalities allow EEGLAB users and plug-in tool developers to build largely automated functions and workflows that include optional NSG job submission and processing. Here we present details on nsgportal implementation and documentation, provide user tutorials on example applications, and show sample test results comparing computation times using HPC versus laptop processing.

Indexed as

ElectroencephalographyNeurosciencesSoftwareUser-Computer InterfaceAlgorithmsElectronic Data ProcessingHumans

Identifiers

PMID32289453
PMCPMC8341158

What OpenQuestion holds

Textmetadata
LicenceTDM
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.