Literature DB >> 29921715

The State of the NIH BRAIN Initiative.

Walter Koroshetz1, Joshua Gordon2, Amy Adams2, Andrea Beckel-Mitchener2, James Churchill2, Gregory Farber2, Michelle Freund2, Jim Gnadt2, Nina S Hsu2, Nicholas Langhals2, Sarah Lisanby2, Guoying Liu2, Grace C Y Peng2, Khara Ramos2, Michael Steinmetz2, Edmund Talley2, Samantha White2.   

Abstract

The BRAIN Initiative arose from a grand challenge to "accelerate the development and application of new technologies that will enable researchers to produce dynamic pictures of the brain that show how individual brain cells and complex neural circuits interact at the speed of thought." The BRAIN Initiative is a public-private effort focused on the development and use of powerful tools for acquiring fundamental insights about how information processing occurs in the central nervous system (CNS). As the Initiative enters its fifth year, NIH has supported >500 principal investigators, who have answered the Initiative's challenge via hundreds of publications describing novel tools, methods, and discoveries that address the Initiative's seven scientific priorities. We describe scientific advances produced by individual laboratories, multi-investigator teams, and entire consortia that, over the coming decades, will produce more comprehensive and dynamic maps of the brain, deepen our understanding of how circuit activity can produce a rich tapestry of behaviors, and lay the foundation for understanding how its circuitry is disrupted in brain disorders. Much more work remains to bring this vision to fruition, and the National Institutes of Health continues to look to the diverse scientific community, from mathematics, to physics, chemistry, engineering, neuroethics, and neuroscience, to ensure that the greatest scientific benefit arises from this unique research Initiative.
Copyright © 2018 the authors 0270-6474/18/386427-12$15.00/0.

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Year:  2018        PMID: 29921715      PMCID: PMC6052245          DOI: 10.1523/JNEUROSCI.3174-17.2018

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


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