Abstract
Brain science is a well-recognized frontier science with extensive and profound contents. For the past hundreds years, biological experimental studies are the main ways to understand the brain, but now, neuro-data and computing have grown up to be almost an equivalent important tool for uncovering the brain and brain disorders. It means that a fuse of “Brain” and “Informatics”, Brainformatics, is becoming an area of science. In this paper, we take the brain research driven by information science as a new discipline – BraInFormatics – with “brain information acquisition”, “Brain information decoding” and “brain information applications” as the main contents, and meso-scale problems are the main space waiting for this discipline. This paper explains the concept, scope and challenges with some examples, such as EEG zero-reference technique, brainwave music etc. developed in our lab.
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References
Mitra, P.P.: The circuit architecture of whole brains at the mesoscopic scale. Neuron 83, 1273–1283 (2014)
Yao, D.: Brainformatics: concept, scope and challenge. Chin. J. Biomed. Eng. 35(2), 129–132 (2016). (In chinese)
Wu, T., Dufford, A.J., Egan, L.J., Mackie, M.-A., Chen, C., Yuan, C., Chen, C., Li, X., Liu, X., Hof, P.R., Fan, J.: Hick-Hyman Law is mediated by the cognitive control network in the brain. Cereb. Cortex. 1–16 (2017)
Kavli NDI. http://www.kavlifoundation.org/johns-hopkins-university
National Institutes of Health, BRAIN. http://www.nih.gov/science/brain/. Accessed 30 Dec 2013
Li, A., Gong, H., Zhang, B., Wang, Q., Yan, C., Wu, J., Liu, Q., Zeng, S., Luo, Q.: Micro-optical sectioning tomography to obtain a high-resolution atlas of the mouse brain. Science 330, 1404–1408 (2010)
Lei, X., Yao, D.: Principles and Techniques of Simultaneous EEG-fMRI. Science Press, Beijing (2014). (in Chinese)
Yao, D.: A method to standardize a reference of scalp EEG recordings to a point at infinity. Physiol. Meas. 22, 693–711 (2001)
Yao, D.: Is the surface potential integral of a dipole in a volume conductor always zero? A cloud over the average reference of EEG and ERP. Brain Topogr. 30, 1–11 (2017)
Chella, F., Pizzella, V., Zappasodi, F., Marzetti, L.: Impact of the reference choice on scalp EEG connectivity estimation. J. Neural Eng. 13, 036016 (2016)
Jiang, T.: Brainnetome: a new -ome to understand the brain and its disorders. NeuroImage 80, 263–272 (2013)
Friston, K.: Active inference and free energy. Behav. Brain Sci. 36, 212–213 (2013)
Wu, D., Li, C., Yao, D.: Scale-free brain quartet: artistic filtering of multi-channel brainwave music. PLoS ONE 8, e64046 (2013)
Chen, M., Guo, D., Wang, T., Jing, W., Xia, Y., Xu, P., Luo, C., Valdes-Sosa, P.A., Yao, D.: Bidirectional control of absence seizures by the Basal Ganglia: a computational evidence. PLoS Comput. Biol. 10, e1003495 (2014)
Gong, D., He, H., Liu, D., Ma, W., Dong, L., Luo, C., Yao, D.: Enhanced functional connectivity and increased gray matter volume of insula related to action video game playing. Sci Rep. 5, 9763 (2015)
Li, F., Tian, Y., Zhang, Y., Qiu, K., Tian, C., Jing, W., Liu, T., Xia, Y., Guo, D., Yao, D., Xu, P.: The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis. Sci Rep. 5, 14765 (2015)
Lu, J., Wu, D., Yang, H., Luo, C., Li, C., Yao, D.: Scale-free brain-wave music from simultaneously EEG and fMRI recordings. PLoS ONE 7, e49773 (2012)
European Working Group on brain planning, Human brain plan Roadmap. https://www.humanbrainproject.eu/roadmap. Accessed 30 Dec 2015
Zhong, N., Peng, H. (Editors-in-chief): Description of “Brain Informatics” http://link.springer.com/journal/40708. Accessed 30 Dec 2015
Yao, D., Li, J., Zhang, Y., Yuan, Q., Guo, D., Liu, T.: Neuroinformatics and coordinating facilities: concept, current status and development. China Basic Sci. 6, 11–15 (2013). (in Chinese)
Grand challenges for engineering committee. Grand challenges for engineering. National Academy of Sciences (2008). (www.engineeringchallenges.org)
Acknowledgements
This work is supported by was funded by the National Natural Science Foundation of China (Grant No. 81330032), the 111 project B12027.
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Yao, D. (2017). Mesoscopic Brainformatics. In: Zeng, Y., et al. Brain Informatics. BI 2017. Lecture Notes in Computer Science(), vol 10654. Springer, Cham. https://doi.org/10.1007/978-3-319-70772-3_30
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DOI: https://doi.org/10.1007/978-3-319-70772-3_30
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