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Brainnetome Atlas: A New Brain Atlas Based on Connectivity Profiles

Tianzi Jiang1* and Lingzhong Fan1
  • 1 Institute of Automation, Chinese Academy of Sciences, Brainnetome Center, China

Brain atlas is considered to be the cornerstone of basic neuroscience and clinical researches. However, the existed atlases are lack finer grained parcellation results and do not provide the functional important connectivity information. Over the past thirty years, remarkable advances of multimodal neuroimaging techniques that are rapidly advancing our understanding of the organization and function of the human brain. The introduction of the framework for identifying the brain subdivisions with in vivo connectivity architecture has opened the door to neuroanatomical studies at the macro-scale brain studies. In this abstract, we present a new brain atlas - brainnetome atlas. It is constructed with brain connectivity profiles [1,2]. The brainnetome atlas is in vivo, with finer-grained brain subregions, and with anatomical and functional connection profiles [3]. Here we first give a brief introduction on the history of the brain atlas development. Then we present the basic ideas of the brainnetome atlas and the procedure to construct this atlas . After that, some parcellation results of representative brain areas will be presented, which include brain areas with heterogeneous cytoarchitectures [4] and homogeneous cytoarchitecture [5, 6]. We also give a brief presentation on how to use the brainnetome atlas to address issues in neuroscience and clinical research. For example, how to determine the boundary of Wernicke’s area [7], what is the organization of Broca’ area across languages, and what is mechanism of visuospatial attention lateralization, and what new findings can be made with the brainnetome atlas for basic and clinical neuroscience issues.

Acknowledgements

This work was partially supported by the National Key Basic Research and Development Program (973) (Grant No. 2011CB707800), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB02030300), the Natural Science Foundation of China (Grant Nos. 91132301, 91432302).

References

[1] Wang, J., Fan, L., Zhang, Y., Liu, Y., Jiang, D., Zhang, Y., Yu, C., and Jiang, T., Tractography-based parcellation of the human left inferior parietal lobule. Neuroimage, 2012. 63(2): 641-652.

[2] Wang, J., Yang, Y., Fan, L., Xu, J., Li, C., Liu, Y., Fox, P.T., Eickhoff, S.B., Yu, C., and Jiang, T., Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches. Hum Brain Mapp, 2015. 36(1): 238-257.

[3] Jiang, T., Brainnetome: A new -ome to understand the brain and its disorders. Neuroimage, 2013. 80: 263-272.

[4] Zhang, Y., Fan, L., Zhang, Y., Wang, J., Zhu, M., Zhang, Y., Yu, C., and Jiang, T., Connectivity-based parcellation of the human posteromedial cortex. Cereb Cortex, 2014. 24(3): 719-727.

[5] Fan, L., Wang, J., Zhang, Y., Han, W., Yu, C., and Jiang, T., Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging. Cereb Cortex, 2014. 24(12): 3365-3378.

[6] Liu, H., Qin, W., Li, W., Fan, L., Wang, J., Jiang, T., and Yu, C., Connectivity-based parcellation of the human frontal pole with diffusion tensor imaging. J Neurosci, 2013. 33(16): 6782-6790.

[7] Wang, J., Fan, L., Wang, Y., Xu, W., Jiang, T., Fox, P.T., Eickhoff, S.B., Yu, C., and Jiang, T., Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles. Hum Brain Mapp, 2015.

Keywords: Brain Atlas, brain connectivity mapping, MRI imaging, DTI, functional connectivity

Conference: Neuroinformatics 2015, Cairns, Australia, 20 Aug - 22 Aug, 2015.

Presentation Type: Poster, to be considered for oral presentation

Topic: Digital atlasing

Citation: Jiang T and Fan L (2015). Brainnetome Atlas: A New Brain Atlas Based on Connectivity Profiles. Front. Neurosci. Conference Abstract: Neuroinformatics 2015. doi: 10.3389/conf.fnins.2015.91.00002

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Received: 13 May 2015; Published Online: 05 Aug 2015.

* Correspondence: Prof. Tianzi Jiang, Institute of Automation, Chinese Academy of Sciences, Brainnetome Center, Beijing, 100190, China, jiangtz@nlpr.ia.ac.cn