Cargando…
Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive
We present a simple, reproducible analysis pipeline applied to resting-state magnetoencephalography (MEG) data from the Open MEG Archive (OMEGA). The data workflow was implemented with Brainstorm, which like OMEGA is free and openly accessible. The proposed pipeline produces group maps of ongoing br...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461064/ https://www.ncbi.nlm.nih.gov/pubmed/31024228 http://dx.doi.org/10.3389/fnins.2019.00284 |
_version_ | 1783410435703177216 |
---|---|
author | Niso, Guiomar Tadel, Francois Bock, Elizabeth Cousineau, Martin Santos, Andrés Baillet, Sylvain |
author_facet | Niso, Guiomar Tadel, Francois Bock, Elizabeth Cousineau, Martin Santos, Andrés Baillet, Sylvain |
author_sort | Niso, Guiomar |
collection | PubMed |
description | We present a simple, reproducible analysis pipeline applied to resting-state magnetoencephalography (MEG) data from the Open MEG Archive (OMEGA). The data workflow was implemented with Brainstorm, which like OMEGA is free and openly accessible. The proposed pipeline produces group maps of ongoing brain activity decomposed in the typical frequency bands of electrophysiology. The procedure is presented as a technical proof of concept for streamlining a broader range and more sophisticated studies of resting-state electrophysiological data. It also features the recently introduced extension of the brain imaging data structure (BIDS) to MEG data, highlighting the scalability and generalizability of Brainstorm analytical pipelines to other, and potentially larger data volumes. |
format | Online Article Text |
id | pubmed-6461064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64610642019-04-25 Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive Niso, Guiomar Tadel, Francois Bock, Elizabeth Cousineau, Martin Santos, Andrés Baillet, Sylvain Front Neurosci Neuroscience We present a simple, reproducible analysis pipeline applied to resting-state magnetoencephalography (MEG) data from the Open MEG Archive (OMEGA). The data workflow was implemented with Brainstorm, which like OMEGA is free and openly accessible. The proposed pipeline produces group maps of ongoing brain activity decomposed in the typical frequency bands of electrophysiology. The procedure is presented as a technical proof of concept for streamlining a broader range and more sophisticated studies of resting-state electrophysiological data. It also features the recently introduced extension of the brain imaging data structure (BIDS) to MEG data, highlighting the scalability and generalizability of Brainstorm analytical pipelines to other, and potentially larger data volumes. Frontiers Media S.A. 2019-04-05 /pmc/articles/PMC6461064/ /pubmed/31024228 http://dx.doi.org/10.3389/fnins.2019.00284 Text en Copyright © 2019 Niso, Tadel, Bock, Cousineau, Santos and Baillet. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Niso, Guiomar Tadel, Francois Bock, Elizabeth Cousineau, Martin Santos, Andrés Baillet, Sylvain Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive |
title | Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive |
title_full | Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive |
title_fullStr | Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive |
title_full_unstemmed | Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive |
title_short | Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive |
title_sort | brainstorm pipeline analysis of resting-state data from the open meg archive |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461064/ https://www.ncbi.nlm.nih.gov/pubmed/31024228 http://dx.doi.org/10.3389/fnins.2019.00284 |
work_keys_str_mv | AT nisoguiomar brainstormpipelineanalysisofrestingstatedatafromtheopenmegarchive AT tadelfrancois brainstormpipelineanalysisofrestingstatedatafromtheopenmegarchive AT bockelizabeth brainstormpipelineanalysisofrestingstatedatafromtheopenmegarchive AT cousineaumartin brainstormpipelineanalysisofrestingstatedatafromtheopenmegarchive AT santosandres brainstormpipelineanalysisofrestingstatedatafromtheopenmegarchive AT bailletsylvain brainstormpipelineanalysisofrestingstatedatafromtheopenmegarchive |