Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784824842678173696 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9636018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT markellorossd neuromapsstructuralandfunctionalinterpretationofbrainmaps AT hansenjustiney neuromapsstructuralandfunctionalinterpretationofbrainmaps AT liuzhenqi neuromapsstructuralandfunctionalinterpretationofbrainmaps AT bazinetvincent neuromapsstructuralandfunctionalinterpretationofbrainmaps AT shafieigolia neuromapsstructuralandfunctionalinterpretationofbrainmaps AT suarezlaurae neuromapsstructuralandfunctionalinterpretationofbrainmaps AT blosteinnadia neuromapsstructuralandfunctionalinterpretationofbrainmaps AT seidlitzjakob neuromapsstructuralandfunctionalinterpretationofbrainmaps AT bailletsylvain neuromapsstructuralandfunctionalinterpretationofbrainmaps AT satterthwaitetheodored neuromapsstructuralandfunctionalinterpretationofbrainmaps AT chakravartymmallar neuromapsstructuralandfunctionalinterpretationofbrainmaps AT raznahanarmin neuromapsstructuralandfunctionalinterpretationofbrainmaps AT misicbratislav neuromapsstructuralandfunctionalinterpretationofbrainmaps |