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Brainnetome Atlas specifications


Unique identifier OMICS_17562
Name Brainnetome Atlas
Restrictions to use None
Community driven No
Data access File download
User data submission Not allowed
Version 1.0
Maintained Yes


  • person_outline Tianzi Jiang

Publication for Brainnetome Atlas

Brainnetome Atlas citations


Gender differences in functional connectivities between insular subdivisions and selective pain related brain structures

PMCID: 5852124
PMID: 29541875
DOI: 10.1186/s10194-018-0849-z

[…] f these pain-related brain regions, including the location, label and Montreal Neurological Institute (MNI) coordinate, was shown in Table . Masks for most pain-related regions were selected from the Brainnetome Atlas, including ventral dorsolateral prefrontal cortex (vDLPFC), the opercular pars triangularis (oPT) and ventral pars triangularis (vPT), primary motor cortex (PMC), postcentral somatos […]


Networks of myelin covariance

Hum Brain Mapp
PMCID: 5873432
PMID: 29271053
DOI: 10.1002/hbm.23929

[…] tlas, three alternative atlases of diverse nature, different number and distributions of anatomical structures. These atlases were (a) AAL atlas with N = 90 structures (Tzourio‐Mazoyer et al., ); (b) Brainnetome Atlas (Fan et al., ) with N = 246 structures, a cross‐validated atlas containing information on both anatomical and functional connections, and (c) Gordon atlas (Gordon et al., ) with N =  […]


The Posterior Insula Shows Disrupted Brain Functional Connectivity in Female Migraineurs Without Aura Based on Brainnetome Atlas

Sci Rep
PMCID: 5715029
PMID: 29203874
DOI: 10.1038/s41598-017-17069-8

[…] to 90 sub-regions based on anatomical sulcal information. It has been demonstrated that the different parcellation atlases may result in different topological properties,. Fan et al. designed a human Brainnetome atlas that identified subdivisions of the whole brain (36 subcortical and 210 cortical subregions) based on connectivity parcellation. In this study, we constructed the functional network […]


Correlation between Traits of Emotion Based Impulsivity and Intrinsic Default Mode Network Activity

PMCID: 5684566
PMID: 29225975
DOI: 10.1155/2017/9297621

[…] the risk of circularity analysis, two independent masks were employed to be seed regions to conduct the functional connectivity analyses. The first brain mask for the seed was derived from the Human Brainnetome Atlas [] (bilateral CG-6 region, supplementary figure 1a available online at The second brain mask for the seed was anatomically defined by bilateral […]


Altered Insular and Occipital Responses to Simulated Vertical Self Motion in Patients with Persistent Postural Perceptual Dizziness

PMCID: 5650964
PMID: 29089920
DOI: 10.3389/fneur.2017.00529
call_split See protocol

[…] es, lingual gyri, and middle occipital gyri extracted via the Automated Anatomical Labeling template (). Moreover, we included the posterior superior temporal gyrus (BA 41 and 42) as derived from the brainnetome atlas ().We applied corrections for multiple comparisons as determined by Monte Carlo simulation at the cluster level using family-wise error correction implemented in the SPM RESTplus sof […]


Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients

PLoS One
PMCID: 5363868
PMID: 28333946
DOI: 10.1371/journal.pone.0173426

[…] erior cingulate cortex (PCC) and precuneus regions. The results were reported in the Table C in and Table D in .We performed the same set of functional connectivity analyses using a different atlas. Brainnetome atlas is a structural atlas with 246 sub-regions similar to AAL atlas []. The Brainnetome atlas has more regions than the AAL atlas and thus we had to merge a few regions into one region f […]


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Brainnetome Atlas institution(s)
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, 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, China; The Queensland Brain Institute, University of Queensland, Brisbane, Australia; Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China; Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany; Department of Physics, Florida International University, Miami, FL, USA
Brainnetome Atlas funding source(s)
Supported by the National Key Basic Research and Development Program (973) (Grant No. 2011CB707801 and 2012CB720702), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB02030300), the Natural Science Foundation of China (Grant Nos. 91432302, 91132301, 81501179, and 81270020), the Deutsche Forschungsgemeinschaft (DFG, EI 816/4-1; EI 816/6-1), the National Institute of Mental Health (R01-MH074457) and the Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain” and the European Union Seventh Framework Programme (FP7/2007- 2013) under grant agreement no. 604102 (Human Brain Project), and Open Project Funding of National Key Laboratory of Cognitive Neuroscience and Learning-Beijing Normal University (Grant CNLYB1410).

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