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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

US BRAIN Initiative,top-level design,data governance,government and enterprise cooperation,interdisciplinary network,neuroethics research

Document Type

Policy & Management Research

Abstract

Major countries have launched brain initiatives for competition, aiming to gain strategic priority in the area of brain ultimate frontier for human being in the course of recognizing nature. The US BRAIN Initiative is a scientific project comparable to the Human Genome Project in scale and potential impact. Accelerating the development and application of new technologies and tools is the driving force for the US BRAIN Initiative, which takes the lead in race owing to its realistic and innovative development mode. This study briefly reviews the implementation progress, the strategic reports and research achievements of the US BRAIN Initiative, and summarizes the main characteristics of its implementation. Finally, this study puts forward six advisory opinions:(1) strengthening the top-level design, (2) energetically developing originally created biotechnology, (3) setting up studies for data governance in advance, (4) exploring the mode for government and enterprise cooperation, (5) establishing interdisciplinary network for group research, (6) practicing responsible study, in hope of inspiring more good ideas for the development of brain science in China.

First page

302

Last Page

314

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 Hyun I. Moonshots and other metaphors:The BRAIN Initiative. AJOB Neuroscience, 2020, 11(3):198-200.

2 Alivisatos A P, Chun M, Church G M, et al. The brain activity map project and the challenge of functional connectomics. Neuron, 2012, 74(6):970-974.

3 Ngai J. BRAIN 2.0:Transforming neuroscience. Cell, 2022, 185(1):4-8.

4 Lee T, Cai L X, Lelyveld V S, et al. Molecular-level functional magnetic resonance imaging of dopaminergic signaling. Science, 2014, 344(6183):533-535.

5 Bartelle B B, Barandov A, Jasanoff A. Molecular fMRI. Journal of Neuroscience, 2016, 36(15):4139-4148.

6 Smart O, Choi K S, Riva-Posse P, et al. Initial unilateral exposure to deep brain stimulation in treatment-resistant depression patients alters spectral power in the subcallosal cingulate. Frontiers in Computational Neuroscience, 2018, doi:10.3389/fncom.2018.00043.

7 Noecker A M, Choi K S, Riva-Posse P, et al. Stimvision software:Examples and applications in subcallosal cingulate deep brain stimulation for depression. Neuromodulation, 2018, 21(2):191-196.

8 Norman S L, Maresca D, Christopoulos V N, et al. Single-trial decoding of movement intentions using functional ultrasound neuroimaging. Neuron, 2021, 109(9):1554-1566.

9 Kampasi K, English D F, Seymour J, et al. Dual color optogenetic control of neural populations using low-noise, multishank optoelectrodes. Microsystems & Nanoengineering, 2018, 4(2):10.

10 Sze G, Wintermark M, Law M, et al. Human neuroimaging and the BRAIN Initiative:A joint statement from the ASNR and ASFNR, with the support of the RSNA, ACR, ARR, and ISMRM. American Journal of Neuroradiology, 2014, 35(2):213-214.

11 Yin W, Brittain D, Borseth J, et al. A petascale automated imaging pipeline for mapping neuronal circuits with highthroughput transmission electron microscopy. Nature Communications, 2020, 11(1):4949.

12 Sohrabpour A, Cai Z X, Ye S, et al. Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources. Nature Communications, 2020, 11(1):1946.

13 Moreaux L C, Yatsenko D, Sacher W D, et al. Integrated neurophotonics:Toward dense volumetric interrogation of brain circuit activity-at depth and in real time. Neuron, 2020, 108(1):66-92.

14 Adewole D O, Struzyna L A, Burrell J C, et al. Development of optically controlled ""living electrodes"" with long-projecting axon tracts for a synaptic brain-machine interface. Science Advances, 2021, 7(4):eaay5347.

15 Struzyna L A, Adewole D O, Gordian-Velez W J, et al. Anatomically inspired three-dimensional micro-tissue engineered neural networks for nervous system reconstruction, modulation, and modeling. Jove-journal of Visualized Experiments., 2017, 123:e55609.

16 鲁白. 美国""脑计划""借鉴. 中国经济报告, 2017, (4):111-114.

Lu B, Lessons learned from the US BRAIN Initiative. China Economic Report, 2017, (4):111-114. (in Chinese)

17 Farrar M J, Kolkman K E, Fetcho J R. Features of the structure, development, and activity of the zebrafish noradrenergic system explored in new CRISPR transgenic lines. Journal of Comparative Neurology, 2018, 526(15):2493-2508.

18 Raj B, Gagnon J A, Schier A F. Large-scale reconstruction of cell lineages using single-cell readout of transcriptomes and CRISPR-Cas9 barcodes by scGESTALT. Nature Protocols, 2018, 13(11):2685-2713.

19 Zhang L Y, Lin P, Pan J, et al. Clarity for high-resolution imaging and quantification of vasculature in the whole mouse brain. Aging and Disease, 2018, 9(2):262-272.

20 Chung K, Wallace J, Kim S Y, et al. Structural and molecular interrogation of intact biological systems. Nature, 2013, 497(7449):332-337.

21 Callaway E M, Dong H W, Ecker, J R et al. A multimodal cell census and atlas of the mammalian primary motor cortex. Nature, 2021, 598(7879):86-102.

22 Munoz-Castaneda R, Zingg B, Matho K S, et al. Cellular anatomy of the mouse primary motor cortex. Nature, 2021, 598(7879):159-166.

23 Zhou W, Ke S S, Li W W, et al. Mapping the function of whole-brain projection at the single neuron level. Advanced Science, 2022, 9(33):2202553.

24 Gao L, Liu S, Gou L, et al. Single-neuron projectome of mouse prefrontal cortex. Natrue Neuroscience, 2022, 25(4):515-529.

25 Foster N N, Barry J, Korobkova L, et al. The mouse corticobasal ganglia-thalamic network. Nature, 2021, 598(7879):188-194.

26 Peng H, Xie P, Liu L, et al. Morphological diversity of single neurons in molecularly defined cell types. Nature, 2021, 598(7879):174-181.

27 唐璐, 张志强. 新美国安全中心""美国国家技术战略""报告剖析及启示. 图书与情报, 2022, (1):49-56.

Tang L, Zhang Z Q. The U. S. national technology strategy reports and enlightenment to Chinese S&T think tanks. Library and Information, 2022, (1):49-56. (in Chinese)

28 兰蓝, 李瑞, 白波, 等. 医疗机构数据共享关键问题研究与数据治理对策. 中国卫生信息管理杂志, 2022, 19(2):184-188.

Lan L, Li R, Bai B, et al. Research on key issues of data sharing in medical institutions and countermeasures of data governance. Chinese Journal of Health Informatics and Management, 2022, 19(2):184-188. (in Chinese)

29 Wang Y, Yin J, Wang G, et al. Responsibility and sustainability in brain science, technology, and neuroethics in China-a culture-oriented perspective. Neuron, 2019, 101(3):375-379.

30 樊天, 樊春良. 负责任研究与创新框架之下的脑科学伦理 治理—对欧盟脑科学计划(HBP)的案例研究. (2022- 08-18)[2023-03-15]. https://kns.cnki.net/kcms/detail/11.1805. G3.20220817.1405.002.html.

Fan T, Fan C L. Ethical governance in brain science under the framework of responsible research and innovation-A case study of the European Union Brain Science Program (HBP). (2022- 08-18)[2023-03-15]. https://kns.cnki.net/kcms/detail/11.1805. G3.20220817.1405.002.html. (in Chinese)

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