International Brain Initiative: An Innovative Framework for Coordinated Global Brain Research Efforts

Adams, Alois J.; Albin, Stephanie; Amunts, Katrin; Asakawa, Tasia; Bernard, Amy; Bjaalie, Jan G.; Chakli, Khaled; Deshler, James O.; Ebell, Christoph; Egan, Gary F.; Hale, Melina E.; Häusser, Michael; Jeong, Sung‐Jin; Illes, Judy; Lanyon, Linda; Li, Pingping; Li, Yan; Magistretti, Pierre J.; McMahon, Agnes; Montojo, Caroline A.; Ohtsuka, Toshihisa; Okabe, Susumu; Pei, Gang; Pouget, Alexandre; Reindorp, Jason; Richards, Linda J.; Rommelfanger, Karen S.; Sajda, Paul; Scobie, Kimberly N.; Suh, Pann Ghill; Tanaka, Keiji; Thiels, Edda; Valdés‐Sosa, Pedro A.; Welchman, Andrew E.; White, Samantha; Wilson, Gary N.; Yuste, Rafael; Zhang, Xu; Zheng, Jialin

doi:10.1016/j.neuron.2020.02.022

Cited by 12 publications

(6 citation statements)

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“…Moreover, many non-governmental bodies and private institutions are active in brain-related research as well, such as the famous Allen Institute for Brain Science (www.alleninstitute.org), Tianqiao and Chrissy Chen Institute (www.cheninstitute.org), and the Simons Collaboration on the Global Brain (simonsfoundation.org). International collaborations between China and foreign organisations are encouraged, such as the set-up of four IDG/McGovern Institutes for Brain Research during 2011–2014 in Beijing and Shenzhen, the cooperation of SEU-ALLEN Joint Center in the Institute for Brain and Intelligence of Southeast University (Nanjing) initiated in 2018, the participation in the International Brain Initiative41 that started in 2019, the foundation of two Frontier Labs of Tianqiao and Chrissy Chen Institute during 2020–2021 in Shanghai, and the recent 2022 China-US Brain Science Innovation Forum held in Wuhan which aimed to promote state-of-the-art international collaborations in brain science.…”

Section: The Array Of National Brain Projectsmentioning

confidence: 99%

Decoding psychosis: from national genome project to national brain project

Sun

Shi

et al. 2022

Gen Psych

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The mind has puzzled humans for centuries, and its disorders, such as psychoses, have caused tremendous difficulties. However, relatively recent biotechnological breakthroughs, such as DNA technology and neuroimaging, have empowered scientists to explore the more fundamental aspects of psychosis. From searching for psychosis-causing genes to imaging the depths of the brain, scientists worldwide seek novel methods to understand the mind and the causes of its disorders. This article will briefly review the history of understanding and managing psychosis and the main findings of modern genetic research and then attempt to stimulate thought for decoding the biological mechanisms of psychosis in the present era of brain science.

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Section: The Array Of National Brain Projectsmentioning

confidence: 99%

Decoding psychosis: from national genome project to national brain project

Sun

Shi

et al. 2022

Gen Psych

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“…Provided that a descriptive Bayesian approach is the best method to address these unpredictable fields of uncertainty in the study of human body and mind, the stage in which adequate instrumental capabilities allow scientists to obtain significant data from the human organism is yet to be reached. Consider that in the last decade, expensive efforts to construct a map the human brain using the most advanced neuro technologies were put in place but have had limited success [71]. Invasive and non invasive techniques offer partial correlations of brain activity and cognitive processes that help scientists to make inferences about the functions inside the living black-box [72].…”

Section: B Uncertaintymentioning

confidence: 99%

Human as machine: A discussion on the transformations and exhaustion of a metaphor

Pastor¹

2021

Preprint

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Modern anatomy, medicine, theories of mind-as-computer and even the history of capitalist industrial and corporate management could not exist without the mechanical models of the human body. From Descartes' view of the body as machine assembly to Dennett's conception of the brain as a computer, our understanding of the human body is permeated with mechanical metaphors. Due to the peaking evidence of the failure to explain the complexity of the human phenomena through mechanical models, it seems reasonable to abandon the metaphors of the body as machine. However, as this metaphor supports the very foundations of large scale economies that profit from stable and predictable human functioning, the body machine metaphor will certainly not disappear without significant struggle.

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“…Compared with other research disciplines such as nuclear physics or astronomy, such large-scale collaboration is not so common in the fields of neuroscience and medicine. It is, however, not by chance that large national and international projects devoted to brain investigation have surfaced around the world in the last decade ( Adams et al, 2020 ; Quaglio et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%