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The braingraph.org database with more than 1000 robust human connectomes in five resolutions
The human brain is the most complex object of study we encounter today. Mapping the neuronal-level connections between the more than 80 billion neurons in the brain is a hopeless task for science. By the recent advancement of magnetic resonance imaging (MRI), we are able to map the macroscopic conne...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448809/ https://www.ncbi.nlm.nih.gov/pubmed/34603551 http://dx.doi.org/10.1007/s11571-021-09670-5 |
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author | Varga, Bálint Grolmusz, Vince |
author_facet | Varga, Bálint Grolmusz, Vince |
author_sort | Varga, Bálint |
collection | PubMed |
description | The human brain is the most complex object of study we encounter today. Mapping the neuronal-level connections between the more than 80 billion neurons in the brain is a hopeless task for science. By the recent advancement of magnetic resonance imaging (MRI), we are able to map the macroscopic connections between about 1000 brain areas. The MRI data acquisition and the subsequent algorithmic workflow contain several complex steps, where errors can occur. In the present contribution we describe and publish 1064 human connectomes, computed from the public release of the Human Connectome Project. Each connectome is available in 5 resolutions, with 83, 129, 234, 463 and 1015 anatomically labeled nodes. For error correction we follow an averaging and extreme value deleting strategy for each edge and for each connectome. The resulting 5320 braingraphs can be downloaded from the https://braingraph.org site. This dataset makes possible the access to this graphs for scientists unfamiliar with neuroimaging- and connectome-related tools: mathematicians, physicists and engineers can use their expertize and ideas in the analysis of the connections of the human brain. Brain scientists and computational neuroscientists also have a robust and large, multi-resolution set for connectomical studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09670-5. |
format | Online Article Text |
id | pubmed-8448809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-84488092021-10-01 The braingraph.org database with more than 1000 robust human connectomes in five resolutions Varga, Bálint Grolmusz, Vince Cogn Neurodyn Brief Communication The human brain is the most complex object of study we encounter today. Mapping the neuronal-level connections between the more than 80 billion neurons in the brain is a hopeless task for science. By the recent advancement of magnetic resonance imaging (MRI), we are able to map the macroscopic connections between about 1000 brain areas. The MRI data acquisition and the subsequent algorithmic workflow contain several complex steps, where errors can occur. In the present contribution we describe and publish 1064 human connectomes, computed from the public release of the Human Connectome Project. Each connectome is available in 5 resolutions, with 83, 129, 234, 463 and 1015 anatomically labeled nodes. For error correction we follow an averaging and extreme value deleting strategy for each edge and for each connectome. The resulting 5320 braingraphs can be downloaded from the https://braingraph.org site. This dataset makes possible the access to this graphs for scientists unfamiliar with neuroimaging- and connectome-related tools: mathematicians, physicists and engineers can use their expertize and ideas in the analysis of the connections of the human brain. Brain scientists and computational neuroscientists also have a robust and large, multi-resolution set for connectomical studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09670-5. Springer Netherlands 2021-03-12 2021-10 /pmc/articles/PMC8448809/ /pubmed/34603551 http://dx.doi.org/10.1007/s11571-021-09670-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Brief Communication Varga, Bálint Grolmusz, Vince The braingraph.org database with more than 1000 robust human connectomes in five resolutions |
title | The braingraph.org database with more than 1000 robust human connectomes in five resolutions |
title_full | The braingraph.org database with more than 1000 robust human connectomes in five resolutions |
title_fullStr | The braingraph.org database with more than 1000 robust human connectomes in five resolutions |
title_full_unstemmed | The braingraph.org database with more than 1000 robust human connectomes in five resolutions |
title_short | The braingraph.org database with more than 1000 robust human connectomes in five resolutions |
title_sort | braingraph.org database with more than 1000 robust human connectomes in five resolutions |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448809/ https://www.ncbi.nlm.nih.gov/pubmed/34603551 http://dx.doi.org/10.1007/s11571-021-09670-5 |
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