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Pyneal: Open Source Real-Time fMRI Software
Increasingly, neuroimaging researchers are exploring the use of real-time functional magnetic resonance imaging (rt-fMRI) as a way to access a participant’s ongoing brain function throughout a scan. This approach presents novel and exciting experimental applications ranging from monitoring data qual...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522368/ https://www.ncbi.nlm.nih.gov/pubmed/33041750 http://dx.doi.org/10.3389/fnins.2020.00900 |
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author | MacInnes, Jeff J. Adcock, R. Alison Stocco, Andrea Prat, Chantel S. Rao, Rajesh P. N. Dickerson, Kathryn C. |
author_facet | MacInnes, Jeff J. Adcock, R. Alison Stocco, Andrea Prat, Chantel S. Rao, Rajesh P. N. Dickerson, Kathryn C. |
author_sort | MacInnes, Jeff J. |
collection | PubMed |
description | Increasingly, neuroimaging researchers are exploring the use of real-time functional magnetic resonance imaging (rt-fMRI) as a way to access a participant’s ongoing brain function throughout a scan. This approach presents novel and exciting experimental applications ranging from monitoring data quality in real time, to delivering neurofeedback from a region of interest, to dynamically controlling experimental flow, or interfacing with remote devices. Yet, for those interested in adopting this method, the existing software options are few and limited in application. This presents a barrier for new users, as well as hinders existing users from refining techniques and methods. Here we introduce a free, open-source rt-fMRI package, the Pyneal toolkit, designed to address this limitation. The Pyneal toolkit is python-based software that offers a flexible and user friendly framework for rt-fMRI, is compatible with all three major scanner manufacturers (GE, Siemens, Phillips), and, critically, allows fully customized analysis pipelines. In this article, we provide a detailed overview of the architecture, describe how to set up and run the Pyneal toolkit during an experimental session, offer tutorials with scan data that demonstrate how data flows through the Pyneal toolkit with example analyses, and highlight the advantages that the Pyneal toolkit offers to the neuroimaging community. |
format | Online Article Text |
id | pubmed-7522368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75223682020-10-09 Pyneal: Open Source Real-Time fMRI Software MacInnes, Jeff J. Adcock, R. Alison Stocco, Andrea Prat, Chantel S. Rao, Rajesh P. N. Dickerson, Kathryn C. Front Neurosci Neuroscience Increasingly, neuroimaging researchers are exploring the use of real-time functional magnetic resonance imaging (rt-fMRI) as a way to access a participant’s ongoing brain function throughout a scan. This approach presents novel and exciting experimental applications ranging from monitoring data quality in real time, to delivering neurofeedback from a region of interest, to dynamically controlling experimental flow, or interfacing with remote devices. Yet, for those interested in adopting this method, the existing software options are few and limited in application. This presents a barrier for new users, as well as hinders existing users from refining techniques and methods. Here we introduce a free, open-source rt-fMRI package, the Pyneal toolkit, designed to address this limitation. The Pyneal toolkit is python-based software that offers a flexible and user friendly framework for rt-fMRI, is compatible with all three major scanner manufacturers (GE, Siemens, Phillips), and, critically, allows fully customized analysis pipelines. In this article, we provide a detailed overview of the architecture, describe how to set up and run the Pyneal toolkit during an experimental session, offer tutorials with scan data that demonstrate how data flows through the Pyneal toolkit with example analyses, and highlight the advantages that the Pyneal toolkit offers to the neuroimaging community. Frontiers Media S.A. 2020-09-15 /pmc/articles/PMC7522368/ /pubmed/33041750 http://dx.doi.org/10.3389/fnins.2020.00900 Text en Copyright © 2020 MacInnes, Adcock, Stocco, Prat, Rao and Dickerson. 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 MacInnes, Jeff J. Adcock, R. Alison Stocco, Andrea Prat, Chantel S. Rao, Rajesh P. N. Dickerson, Kathryn C. Pyneal: Open Source Real-Time fMRI Software |
title | Pyneal: Open Source Real-Time fMRI Software |
title_full | Pyneal: Open Source Real-Time fMRI Software |
title_fullStr | Pyneal: Open Source Real-Time fMRI Software |
title_full_unstemmed | Pyneal: Open Source Real-Time fMRI Software |
title_short | Pyneal: Open Source Real-Time fMRI Software |
title_sort | pyneal: open source real-time fmri software |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522368/ https://www.ncbi.nlm.nih.gov/pubmed/33041750 http://dx.doi.org/10.3389/fnins.2020.00900 |
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