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BEAPP: The Batch Electroencephalography Automated Processing Platform
Electroencephalography (EEG) offers information about brain function relevant to a variety of neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution information, and computational assessment maximizes our potential to glean insight from this information. Here we pr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090769/ https://www.ncbi.nlm.nih.gov/pubmed/30131667 http://dx.doi.org/10.3389/fnins.2018.00513 |
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author | Levin, April R. Méndez Leal, Adriana S. Gabard-Durnam, Laurel J. O’Leary, Heather M. |
author_facet | Levin, April R. Méndez Leal, Adriana S. Gabard-Durnam, Laurel J. O’Leary, Heather M. |
author_sort | Levin, April R. |
collection | PubMed |
description | Electroencephalography (EEG) offers information about brain function relevant to a variety of neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution information, and computational assessment maximizes our potential to glean insight from this information. Here we present the Batch EEG Automated Processing Platform (BEAPP), an automated, flexible EEG processing platform incorporating freely available software tools for batch processing of multiple EEG files across multiple processing steps. BEAPP does not prescribe a specified EEG processing pipeline; instead, it allows users to choose from a menu of options for EEG processing, including steps to manage EEG files collected across multiple acquisition setups (e.g., for multisite studies), minimize artifact, segment continuous and/or event-related EEG, and perform basic analyses. Overall, BEAPP aims to streamline batch EEG processing, improve accessibility to computational EEG assessment, and increase reproducibility of results. |
format | Online Article Text |
id | pubmed-6090769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60907692018-08-21 BEAPP: The Batch Electroencephalography Automated Processing Platform Levin, April R. Méndez Leal, Adriana S. Gabard-Durnam, Laurel J. O’Leary, Heather M. Front Neurosci Neuroscience Electroencephalography (EEG) offers information about brain function relevant to a variety of neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution information, and computational assessment maximizes our potential to glean insight from this information. Here we present the Batch EEG Automated Processing Platform (BEAPP), an automated, flexible EEG processing platform incorporating freely available software tools for batch processing of multiple EEG files across multiple processing steps. BEAPP does not prescribe a specified EEG processing pipeline; instead, it allows users to choose from a menu of options for EEG processing, including steps to manage EEG files collected across multiple acquisition setups (e.g., for multisite studies), minimize artifact, segment continuous and/or event-related EEG, and perform basic analyses. Overall, BEAPP aims to streamline batch EEG processing, improve accessibility to computational EEG assessment, and increase reproducibility of results. Frontiers Media S.A. 2018-08-07 /pmc/articles/PMC6090769/ /pubmed/30131667 http://dx.doi.org/10.3389/fnins.2018.00513 Text en Copyright © 2018 Levin, Méndez Leal, Gabard-Durnam and O’Leary. 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 Levin, April R. Méndez Leal, Adriana S. Gabard-Durnam, Laurel J. O’Leary, Heather M. BEAPP: The Batch Electroencephalography Automated Processing Platform |
title | BEAPP: The Batch Electroencephalography Automated Processing Platform |
title_full | BEAPP: The Batch Electroencephalography Automated Processing Platform |
title_fullStr | BEAPP: The Batch Electroencephalography Automated Processing Platform |
title_full_unstemmed | BEAPP: The Batch Electroencephalography Automated Processing Platform |
title_short | BEAPP: The Batch Electroencephalography Automated Processing Platform |
title_sort | beapp: the batch electroencephalography automated processing platform |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090769/ https://www.ncbi.nlm.nih.gov/pubmed/30131667 http://dx.doi.org/10.3389/fnins.2018.00513 |
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