Human - Brainnetome atlas based on connectivity profiles

Loading SVG...

[3d brain composer]

Slice spacing:
FiducialFit widthVery wideIntermediate
Rotate view:

Hemisphere:

LeftRightBoth

Search:
Slice:

Loading SVG...

 

About this atlas

Brain atlases play a central role in neuroscientific and clinical practice, and are a prerequisite for studying brain networks across scales. Many current human brain atlases only cover specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. The Brainnetome Atlas (BNA) is built upon a connectivity-based parcellation framework, derived from non-invasive multimodal neuroimaging techniques.

The atlas has the following features:

1. It establishes a fine-grained brain parcellation scheme for 210 cortical, 36 subcortical and 28 cerebellar regions.
2. It supplies a detailed map of anatomical and functional connections.
3. It decodes brain functions using a meta-analytical approach.
4. It is an open resource for researchers to use for the analysis of whole brain parcellations, connections, and functions.

The BNA has been created at the Brainnetome Center, Institute of Automation, Chinese Academy of Sciences. To facilitate future investigations in healthy and pathological states, the atlas and accompanying software is made freely available for download.

The defining citations for this atlas template are:

1. Fan L, Li H, Zhuo J, Zhang Y, Wang J, Chen L, Yang Z, Chu C, Xie S, Laird AR, Fox PT, Eickhoff SB, Yu C, Jiang T (2016) "The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture." Cerebral Cortex. [doi 10.1093/cercor/bhw157]

Additional region- or method-specific citations are:

1. Zhuo J, Fan L, Liu Y, Zhang Y, Yu C, Jiang T (2016) "Connectivity Profiles Reveal a Transition Subarea in the Parahippocampal Region That Integrates the Anterior Temporal–Posterior Medial Systems." Journal of Neuroscience 36:2782-2795. [doi 10.1523/jneurosci.1975-15.2016]
2. Zhang W, Wang J, Fan L, Xu J, Li C, Liu Y, Fox PT, Eickhoff SB, Yu C, Jiang T (2016) "Functional organization of the fusiform gyrus revealed with connectivity profiles." Human brain mapping. [doi 10.1002/hbm.23222]
3. Yang Y, Fan L, Chu C, Zhuo J, Wang J, Fox PT, Eickhoff SB, Jiang T (2016) "Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation." Neuroimage 124:300-309. [doi 10.1016/j.neuroimage.2015.08.027]
4. Cui Y, Liu B, Zhou Y, Fan L, Li J, Zhang Y, Wu H, Hou B, Wang C, Zheng F, Qiu C, Rao LL, Ning Y, Li S, Jiang T (2015) "Genetic Effects on Fine-Grained Human Cortical Regionalization." Cerebral Cortex. [doi 10.1093/cercor/bhv176]
5. Wang J, Yang Y, Fan L, Xu J, Li C, Liu Y, Fox PT, Eickhoff SB, Yu C, Jiang T (2015) "Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches." Human brain mapping 36:238-257. [doi 10.1002/hbm.22626]
6. Wang J, Fan L, Wang Y, Xu W, Jiang T, Fox PT, Eickhoff SB, Yu C, Jiang T (2015) "Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles." Human brain mapping 36:1908-1924. [doi 10.1002/hbm.22745]
7. Zhang Y, Caspers S, Fan L, Fan Y, Song M, Liu C, Mo Y, Roski C, Eickhoff S, Amunts K, Jiang T (2015) "Robust brain parcellation using sparse representation on resting-state fMRI." Brain Structure and Function 220(6):3565-79. [doi 10.1007/s00429-014-0874-x]
8. Xu J, Wang J, Fan L, Li H, Zhang W, Hu Q, Jiang T (2015) "Tractography-based Parcellation of the Human Middle Temporal Gyrus." Scientific reports. [doi 10.1038/srep18883]
9. Liu H, Qin W, Qi H, Jiang T, Yu C (2015) "Parcellation of the human orbitofrontal cortex based on gray matter volume covariance." Human brain mapping 36:538-548. [doi 10.1002/hbm.22645]
10. Fan L, Wang J, Zhang Y, Han W, Yu C, Jiang T (2014) "Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging." Cerebral cortex 24:3365-3378. [doi 10.1093/cercor/bht196]
11. Zhang Y, Fan L, Zhang Y, Wang J, Zhu M, Zhang Y, Yu C, Jiang T (2014) "Connectivity-based parcellation of the human posteromedial cortex." Cerebral cortex 24:719-727. [doi 10.1093/cercor/bhs353]
12. Li W, Qin W, Liu H, Fan L, Wang J, Jiang T, Yu C (2013) "Subregions of the human superior frontal gyrus and their connections." Neuroimage 78:46-58. [doi 10.1016/j.neuroimage.2013.04.011]
13. Liu H, Qin W, Li W, Fan L, Wang J, Jiang T, Yu C (2013) "Connectivity-based parcellation of the human frontal pole with diffusion tensor imaging." Journal of neuroscience 33:6782-6790. [doi 10.1523/jneurosci.4882-12.2013]
14. Jiang T (2013) "Brainnetome: a new -ome to understand the brain and its disorders." Neuroimage 80:263-272. [doi 10.1016/j.neuroimage.2013.04.002]
15. Wang J, Fan L, Zhang Y, Liu Y, Jiang D, Zhang Y, Yu C, Jiang T (2012) "Tractography‐based parcellation of the human left inferior parietal lobule." Neuroimage 63:641-652. [doi 10.1016/j.neuroimage.2012.07.045]

• T1: Average of 40 T1 images from the Human Connectome Project
  • ../../templates/BNA/source/BN_Atlas_274_T1_HCP40_MNI_1.25mm.nii.gz; filesize 1608 kB; shape [145x173x145]
• labels: Parcellation based on connectivity profiles.
  The label index mapper converts label indices to acronyms, full names, and rgb-values.
  • ../../templates/BNA/source/BN_Atlas_274_noCb_uint16.nii.gz; filesize 279 kB; shape [145x173x145]
• coronal_svg: Coronal sections of the label volume "BN_Atlas_274_noCb_uint16.nii", converted to Scalable Vector Graphics.
  Brain regions are color-coded by the RGB to Acronym map, which can be chained with the Acronym to Fullname map.
  • ../../templates/BNA/source/coronal_svg.zip; filesize 617 kB
• wholebrain_mesh: surface mesh of the entire brain
  • ../../templates/BNA/wholebrain.x3d; filesize 5838 kB