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The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961028/ https://www.ncbi.nlm.nih.gov/pubmed/27230218 http://dx.doi.org/10.1093/cercor/bhw157 |
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author | Fan, Lingzhong Li, Hai Zhuo, Junjie Zhang, Yu Wang, Jiaojian Chen, Liangfu Yang, Zhengyi Chu, Congying Xie, Sangma Laird, Angela R. Fox, Peter T. Eickhoff, Simon B. Yu, Chunshui Jiang, Tianzi |
author_facet | Fan, Lingzhong Li, Hai Zhuo, Junjie Zhang, Yu Wang, Jiaojian Chen, Liangfu Yang, Zhengyi Chu, Congying Xie, Sangma Laird, Angela R. Fox, Peter T. Eickhoff, Simon B. Yu, Chunshui Jiang, Tianzi |
author_sort | Fan, Lingzhong |
collection | PubMed |
description | The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states. |
format | Online Article Text |
id | pubmed-4961028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49610282016-07-29 The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture Fan, Lingzhong Li, Hai Zhuo, Junjie Zhang, Yu Wang, Jiaojian Chen, Liangfu Yang, Zhengyi Chu, Congying Xie, Sangma Laird, Angela R. Fox, Peter T. Eickhoff, Simon B. Yu, Chunshui Jiang, Tianzi Cereb Cortex Original Articles The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states. Oxford University Press 2016-08 2016-07-25 /pmc/articles/PMC4961028/ /pubmed/27230218 http://dx.doi.org/10.1093/cercor/bhw157 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Fan, Lingzhong Li, Hai Zhuo, Junjie Zhang, Yu Wang, Jiaojian Chen, Liangfu Yang, Zhengyi Chu, Congying Xie, Sangma Laird, Angela R. Fox, Peter T. Eickhoff, Simon B. Yu, Chunshui Jiang, Tianzi The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture |
title | The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture |
title_full | The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture |
title_fullStr | The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture |
title_full_unstemmed | The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture |
title_short | The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture |
title_sort | human brainnetome atlas: a new brain atlas based on connectional architecture |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961028/ https://www.ncbi.nlm.nih.gov/pubmed/27230218 http://dx.doi.org/10.1093/cercor/bhw157 |
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