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neuromaps: structural and functional interpretation of brain maps

Imaging technologies are increasingly used to generate high-resolution reference maps of brain structure and function. Comparing experimentally generated maps to these reference maps facilitates cross-disciplinary scientific discovery. Although recent data sharing initiatives increase the accessibil...

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Autores principales: Markello, Ross D., Hansen, Justine Y., Liu, Zhen-Qi, Bazinet, Vincent, Shafiei, Golia, Suárez, Laura E., Blostein, Nadia, Seidlitz, Jakob, Baillet, Sylvain, Satterthwaite, Theodore D., Chakravarty, M. Mallar, Raznahan, Armin, Misic, Bratislav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636018/
https://www.ncbi.nlm.nih.gov/pubmed/36203018
http://dx.doi.org/10.1038/s41592-022-01625-w
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author Markello, Ross D.
Hansen, Justine Y.
Liu, Zhen-Qi
Bazinet, Vincent
Shafiei, Golia
Suárez, Laura E.
Blostein, Nadia
Seidlitz, Jakob
Baillet, Sylvain
Satterthwaite, Theodore D.
Chakravarty, M. Mallar
Raznahan, Armin
Misic, Bratislav
author_facet Markello, Ross D.
Hansen, Justine Y.
Liu, Zhen-Qi
Bazinet, Vincent
Shafiei, Golia
Suárez, Laura E.
Blostein, Nadia
Seidlitz, Jakob
Baillet, Sylvain
Satterthwaite, Theodore D.
Chakravarty, M. Mallar
Raznahan, Armin
Misic, Bratislav
author_sort Markello, Ross D.
collection PubMed
description Imaging technologies are increasingly used to generate high-resolution reference maps of brain structure and function. Comparing experimentally generated maps to these reference maps facilitates cross-disciplinary scientific discovery. Although recent data sharing initiatives increase the accessibility of brain maps, data are often shared in disparate coordinate systems, precluding systematic and accurate comparisons. Here we introduce neuromaps, a toolbox for accessing, transforming and analyzing structural and functional brain annotations. We implement functionalities for generating high-quality transformations between four standard coordinate systems. The toolbox includes curated reference maps and biological ontologies of the human brain, such as molecular, microstructural, electrophysiological, developmental and functional ontologies. Robust quantitative assessment of map-to-map similarity is enabled via a suite of spatial autocorrelation-preserving null models. neuromaps combines open-access data with transparent functionality for standardizing and comparing brain maps, providing a systematic workflow for comprehensive structural and functional annotation enrichment analysis of the human brain.
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spelling pubmed-96360182022-11-06 neuromaps: structural and functional interpretation of brain maps Markello, Ross D. Hansen, Justine Y. Liu, Zhen-Qi Bazinet, Vincent Shafiei, Golia Suárez, Laura E. Blostein, Nadia Seidlitz, Jakob Baillet, Sylvain Satterthwaite, Theodore D. Chakravarty, M. Mallar Raznahan, Armin Misic, Bratislav Nat Methods Article Imaging technologies are increasingly used to generate high-resolution reference maps of brain structure and function. Comparing experimentally generated maps to these reference maps facilitates cross-disciplinary scientific discovery. Although recent data sharing initiatives increase the accessibility of brain maps, data are often shared in disparate coordinate systems, precluding systematic and accurate comparisons. Here we introduce neuromaps, a toolbox for accessing, transforming and analyzing structural and functional brain annotations. We implement functionalities for generating high-quality transformations between four standard coordinate systems. The toolbox includes curated reference maps and biological ontologies of the human brain, such as molecular, microstructural, electrophysiological, developmental and functional ontologies. Robust quantitative assessment of map-to-map similarity is enabled via a suite of spatial autocorrelation-preserving null models. neuromaps combines open-access data with transparent functionality for standardizing and comparing brain maps, providing a systematic workflow for comprehensive structural and functional annotation enrichment analysis of the human brain. Nature Publishing Group US 2022-10-06 2022 /pmc/articles/PMC9636018/ /pubmed/36203018 http://dx.doi.org/10.1038/s41592-022-01625-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Markello, Ross D.
Hansen, Justine Y.
Liu, Zhen-Qi
Bazinet, Vincent
Shafiei, Golia
Suárez, Laura E.
Blostein, Nadia
Seidlitz, Jakob
Baillet, Sylvain
Satterthwaite, Theodore D.
Chakravarty, M. Mallar
Raznahan, Armin
Misic, Bratislav
neuromaps: structural and functional interpretation of brain maps
title neuromaps: structural and functional interpretation of brain maps
title_full neuromaps: structural and functional interpretation of brain maps
title_fullStr neuromaps: structural and functional interpretation of brain maps
title_full_unstemmed neuromaps: structural and functional interpretation of brain maps
title_short neuromaps: structural and functional interpretation of brain maps
title_sort neuromaps: structural and functional interpretation of brain maps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636018/
https://www.ncbi.nlm.nih.gov/pubmed/36203018
http://dx.doi.org/10.1038/s41592-022-01625-w
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