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 and Jiang, Tianzi (2016) The human brainnetome atlas: a new brain atlas based on connectional architecture. Cerebral Cortex, 26 8: 3508-3526. doi:10.1093/cercor/bhw157

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
Title The human brainnetome atlas: a new brain atlas based on connectional architecture
Journal name Cerebral Cortex   Check publisher's open access policy
ISSN 1047-3211
Publication date 2016-08-01
Sub-type Article (original research)
DOI 10.1093/cercor/bhw157
Open Access Status Not yet assessed
Volume 26
Issue 8
Start page 3508
End page 3526
Total pages 19
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Subject 2805 Cognitive Neuroscience
2804 Cellular and Molecular Neuroscience
Abstract 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, 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.
Keyword Brain atlas
Connectivity-based parcellation
Diffusion tensor imaging
Functional characterisation
Resting-state functional connectivity
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID EI 816/4-1
EI 816/6-1
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 43 times in Thomson Reuters Web of Science Article | Citations
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Created: Tue, 27 Sep 2016, 20:42:03 EST by Kirstie Asmussen on behalf of School of Music