title: The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture.
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 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.
authors.affiliation: Brainnetome Center.
authors.forename: Lingzhong
authors.initials: L
authors.lastname: Fan
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and.
authors.forename: Hai
authors.initials: H
authors.lastname: Li
authors.affiliation: Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China.
authors.forename: Junjie
authors.initials: J
authors.lastname: Zhuo
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and.
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China.
authors.forename: Jiaojian
authors.initials: J
authors.lastname: Wang
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and.
authors.forename: Liangfu
authors.initials: L
authors.lastname: Chen
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and.
authors.forename: Zhengyi
authors.initials: Z
authors.lastname: Yang
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and.
authors.forename: Congying
authors.initials: C
authors.lastname: Chu
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and.
authors.forename: Sangma
authors.initials: S
authors.lastname: Xie
authors.affiliation: Department of Physics, Florida International University, Miami, FL, USA.
authors.forename: Angela R
authors.initials: AR
authors.lastname: Laird
authors.affiliation: Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA.
authors.forename: Peter T
authors.initials: PT
authors.lastname: Fox
authors.affiliation: Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich 52425, Germany Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University Düsseldorf, Düsseldorf 40225, Germany.
authors.forename: Simon B
authors.initials: SB
authors.lastname: Eickhoff
authors.affiliation: Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
authors.forename: Chunshui
authors.initials: C
authors.lastname: Yu
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China The Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia.
authors.forename: Tianzi
authors.initials: T
authors.lastname: Jiang
mesh_terms: D000293:Adolescent; D000328:Adult; D001271:Atlases as Topic; D001921:Brain / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000502:physiology*; D063132:Connectome; D056324:Diffusion Tensor Imaging; D005260:Female; D006801:Humans; D020407:Internet; D008279:Magnetic Resonance Imaging; D008297:Male; D064847:Multimodal Imaging; D012146:Rest; D014584:User-Computer Interface; D055815:Young Adult
keywords: brain atlas; connectivity-based parcellation; diffusion tensor imaging; functional characterization; resting-state functional connectivity