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Standardizing human brain parcellations

Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have...

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Autores principales: Lawrence, Ross M., Bridgeford, Eric W., Myers, Patrick E., Arvapalli, Ganesh C., Ramachandran, Sandhya C., Pisner, Derek A., Frank, Paige F., Lemmer, Allison D., Nikolaidis, Aki, Vogelstein, Joshua T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940391/
https://www.ncbi.nlm.nih.gov/pubmed/33686079
http://dx.doi.org/10.1038/s41597-021-00849-3
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author Lawrence, Ross M.
Bridgeford, Eric W.
Myers, Patrick E.
Arvapalli, Ganesh C.
Ramachandran, Sandhya C.
Pisner, Derek A.
Frank, Paige F.
Lemmer, Allison D.
Nikolaidis, Aki
Vogelstein, Joshua T.
author_facet Lawrence, Ross M.
Bridgeford, Eric W.
Myers, Patrick E.
Arvapalli, Ganesh C.
Ramachandran, Sandhya C.
Pisner, Derek A.
Frank, Paige F.
Lemmer, Allison D.
Nikolaidis, Aki
Vogelstein, Joshua T.
author_sort Lawrence, Ross M.
collection PubMed
description Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available in the neuroparc OSF registered repository or https://github.com/neurodata/neuroparc.
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spelling pubmed-79403912021-03-28 Standardizing human brain parcellations Lawrence, Ross M. Bridgeford, Eric W. Myers, Patrick E. Arvapalli, Ganesh C. Ramachandran, Sandhya C. Pisner, Derek A. Frank, Paige F. Lemmer, Allison D. Nikolaidis, Aki Vogelstein, Joshua T. Sci Data Article Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available in the neuroparc OSF registered repository or https://github.com/neurodata/neuroparc. Nature Publishing Group UK 2021-03-08 /pmc/articles/PMC7940391/ /pubmed/33686079 http://dx.doi.org/10.1038/s41597-021-00849-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lawrence, Ross M.
Bridgeford, Eric W.
Myers, Patrick E.
Arvapalli, Ganesh C.
Ramachandran, Sandhya C.
Pisner, Derek A.
Frank, Paige F.
Lemmer, Allison D.
Nikolaidis, Aki
Vogelstein, Joshua T.
Standardizing human brain parcellations
title Standardizing human brain parcellations
title_full Standardizing human brain parcellations
title_fullStr Standardizing human brain parcellations
title_full_unstemmed Standardizing human brain parcellations
title_short Standardizing human brain parcellations
title_sort standardizing human brain parcellations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940391/
https://www.ncbi.nlm.nih.gov/pubmed/33686079
http://dx.doi.org/10.1038/s41597-021-00849-3
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