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


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 01 2021
Historique:
received: 25 12 2019
revised: 22 02 2020
accepted: 20 03 2020
pubmed: 15 4 2020
medline: 30 3 2021
entrez: 15 4 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32289453
pii: S1053-8119(20)30265-2
doi: 10.1016/j.neuroimage.2020.116778
pmc: PMC8341158
mid: NIHMS1597833
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

116778

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB023297
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS047293
Pays : United States
Organisme : NIMH NIH HHS
ID : R24 MH120037
Pays : United States

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Ramón Martínez-Cancino (R)

Swartz 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 Delorme (A)

Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA.

Dung Truong (D)

Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA.

Fiorenzo Artoni (F)

École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Kenneth Kreutz-Delgado (K)

Department of Electrical and Computer Engineering, Jacobs School of Engineering, University of California San Diego, USA.

Subhashini Sivagnanam (S)

San Diego Supercomputer Center, University of California San Diego, USA.

Kenneth Yoshimoto (K)

San Diego Supercomputer Center, University of California San Diego, USA.

Amitava Majumdar (A)

San Diego Supercomputer Center, University of California San Diego, USA.

Scott Makeig (S)

Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, USA.

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