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RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data

Direct recording of neural activity from the human brain using implanted electrodes (iEEG, intracranial electroencephalography) is a fast-growing technique in human neuroscience. While the ability to record from the human brain with high spatial and temporal resolution has advanced our understanding...

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Autores principales: Magnotti, John F., Wang, Zhengjia, Beauchamp, Michael S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821728/
https://www.ncbi.nlm.nih.gov/pubmed/32920161
http://dx.doi.org/10.1016/j.neuroimage.2020.117341
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author Magnotti, John F.
Wang, Zhengjia
Beauchamp, Michael S.
author_facet Magnotti, John F.
Wang, Zhengjia
Beauchamp, Michael S.
author_sort Magnotti, John F.
collection PubMed
description Direct recording of neural activity from the human brain using implanted electrodes (iEEG, intracranial electroencephalography) is a fast-growing technique in human neuroscience. While the ability to record from the human brain with high spatial and temporal resolution has advanced our understanding, it generates staggering amounts of data: a single patient can be implanted with hundreds of electrodes, each sampled thousands of times a second for hours or days. The difficulty of exploring these vast datasets is the rate-limiting step in discovery. To overcome this obstacle, we created RAVE (“R Analysis and Visualization of iEEG”). All components of RAVE, including the underlying “R” language, are free and open source. User interactions occur through a web browser, making it transparent to the user whether the back-end data storage and computation are occurring locally, on a lab server, or in the cloud. Without writing a single line of computer code, users can create custom analyses, apply them to data from hundreds of iEEG electrodes, and instantly visualize the results on cortical surface models. Multiple types of plots are used to display analysis results, each of which can be downloaded as publication-ready graphics with a single click. RAVE consists of nearly 50,000 lines of code designed to prioritize an interactive user experience, reliability and reproducibility.
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spelling pubmed-78217282021-01-22 RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data Magnotti, John F. Wang, Zhengjia Beauchamp, Michael S. Neuroimage Article Direct recording of neural activity from the human brain using implanted electrodes (iEEG, intracranial electroencephalography) is a fast-growing technique in human neuroscience. While the ability to record from the human brain with high spatial and temporal resolution has advanced our understanding, it generates staggering amounts of data: a single patient can be implanted with hundreds of electrodes, each sampled thousands of times a second for hours or days. The difficulty of exploring these vast datasets is the rate-limiting step in discovery. To overcome this obstacle, we created RAVE (“R Analysis and Visualization of iEEG”). All components of RAVE, including the underlying “R” language, are free and open source. User interactions occur through a web browser, making it transparent to the user whether the back-end data storage and computation are occurring locally, on a lab server, or in the cloud. Without writing a single line of computer code, users can create custom analyses, apply them to data from hundreds of iEEG electrodes, and instantly visualize the results on cortical surface models. Multiple types of plots are used to display analysis results, each of which can be downloaded as publication-ready graphics with a single click. RAVE consists of nearly 50,000 lines of code designed to prioritize an interactive user experience, reliability and reproducibility. 2020-09-10 2020-12 /pmc/articles/PMC7821728/ /pubmed/32920161 http://dx.doi.org/10.1016/j.neuroimage.2020.117341 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Article
Magnotti, John F.
Wang, Zhengjia
Beauchamp, Michael S.
RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
title RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
title_full RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
title_fullStr RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
title_full_unstemmed RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
title_short RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
title_sort rave: comprehensive open-source software for reproducible analysis and visualization of intracranial eeg data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821728/
https://www.ncbi.nlm.nih.gov/pubmed/32920161
http://dx.doi.org/10.1016/j.neuroimage.2020.117341
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