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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-08-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2018.00513/full |
| _version_ | 1818989168749969408 |
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| author | April R. Levin April R. Levin Adriana S. Méndez Leal Laurel J. Gabard-Durnam Heather M. O’Leary Heather M. O’Leary |
| author_facet | April R. Levin April R. Levin Adriana S. Méndez Leal Laurel J. Gabard-Durnam Heather M. O’Leary Heather M. O’Leary |
| author_sort | April R. Levin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-20T19:34:12Z |
| format | Article |
| id | doaj.art-7c64a3b05f9d43b289db4d2711d30fcb |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-20T19:34:12Z |
| publishDate | 2018-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-7c64a3b05f9d43b289db4d2711d30fcb2022-12-21T19:28:43ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2018-08-011210.3389/fnins.2018.00513316258BEAPP: The Batch Electroencephalography Automated Processing PlatformApril R. Levin0April R. Levin1Adriana S. Méndez Leal2Laurel J. Gabard-Durnam3Heather M. O’Leary4Heather M. O’Leary5Department of Neurology, Boston Children’s Hospital, Boston, MA, United StatesLaboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United StatesLaboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United StatesLaboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United StatesDepartment of Neurology, Boston Children’s Hospital, Boston, MA, United StatesCenter for Rare Neurological Diseases, Atlanta, GA, United StatesElectroencephalography (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.https://www.frontiersin.org/article/10.3389/fnins.2018.00513/fullEEGelectroencephalographysignal processingbatchautomatedreproducibility |
| spellingShingle | April R. Levin April R. Levin Adriana S. Méndez Leal Laurel J. Gabard-Durnam Heather M. O’Leary Heather M. O’Leary BEAPP: The Batch Electroencephalography Automated Processing Platform Frontiers in Neuroscience EEG electroencephalography signal processing batch automated reproducibility |
| 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 | EEG electroencephalography signal processing batch automated reproducibility |
| url | https://www.frontiersin.org/article/10.3389/fnins.2018.00513/full |
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