MEG/EEG Group analysis with brainstorm

Tadel, Francois and Bock, Elizabeth and Niso Galán, Julia Guiomar and Mosher, John C. and Cousineau, Martin and Pantazis, Dimitrios and Leahy, Richard M. and Baillet, Sylvain (2019). MEG/EEG Group analysis with brainstorm. "Frontiers in Neuroscience", v. 13 (n. 76); pp. 1-21. ISSN 1662-453X. https://doi.org/10.3389/fnins.2019.00076.

Description

Title: MEG/EEG Group analysis with brainstorm
Author/s:
  • Tadel, Francois
  • Bock, Elizabeth
  • Niso Galán, Julia Guiomar
  • Mosher, John C.
  • Cousineau, Martin
  • Pantazis, Dimitrios
  • Leahy, Richard M.
  • Baillet, Sylvain
Item Type: Article
Título de Revista/Publicación: Frontiers in Neuroscience
Date: 8 February 2019
ISSN: 1662-453X
Volume: 13
Subjects:
Freetext Keywords: magnetoencephalography (MEG); electroencephalography (EEG); brain imaging data structure (BIDS); open data; group analysis; good practice; reproducibility; open source
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

Brainstorm is a free, open-source Matlab and Java application for multimodal electrophysiology data analytics and source imaging [primarily MEG, EEG and depth recordings, and integration with MRI and functional near infrared spectroscopy (fNIRS)]. We also provide a free, platform-independent executable version to users without a commercial Matlab license. Brainstorm has a rich and intuitive graphical user interface, which facilitates learning and augments productivity for a wider range of neuroscience users with little or no knowledge of scientific coding and scripting. Yet, it can also be used as a powerful scripting tool for reproducible and shareable batch processing of (large) data volumes. This article describes these Brainstorm interactive and scripted features via illustration through the complete analysis of group data from 16 participants in a MEG vision study.

More information

Item ID: 64265
DC Identifier: http://oa.upm.es/64265/
OAI Identifier: oai:oa.upm.es:64265
DOI: 10.3389/fnins.2019.00076
Official URL: https://www.frontiersin.org/articles/10.3389/fnins.2019.00076/full
Deposited by: Memoria Investigacion
Deposited on: 07 Oct 2020 14:16
Last Modified: 07 Oct 2020 14:16
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM