Mapping of Brain Activity by Automated Volume Analysis of Immediate Early Genes

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Author
Renier, Nicolas
Adams, Eliza L.
Kirst, Christoph
Wu, Zhuhao
Azevedo, Ricardo
Kadiri, Lolahon
Umadevi Venkataraju, Kannan
Zhou, Yu
Wang, Victoria X.
Tang, Cheuk Y.
Olsen, Olav
Osten, Pavel
Tessier-Lavigne, Marc
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https://doi.org/10.1016/j.cell.2016.05.007Metadata
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Renier, Nicolas, Eliza L. Adams, Christoph Kirst, Zhuhao Wu, Ricardo Azevedo, Johannes Kohl, Anita E. Autry, et al. 2016. “Mapping of Brain Activity by Automated Volume Analysis of Immediate Early Genes.” Cell 165 (7): 1789–1802. https://doi.org/10.1016/j.cell.2016.05.007.Abstract
Understanding how neural information is processed in physiological and pathological states would benefit from precise detection, localization, and quantification of the activity of all neurons across the entire brain, which has not, to date, been achieved in the mammalian brain. We introduce a pipeline for high-speed acquisition of brain activity at cellular resolution through profiling immediate early gene expression using immunostaining and light-sheet fluorescence imaging, followed by automated mapping and analysis of activity by an open-source software program we term ClearMap. We validate the pipeline first by analysis of brain regions activated in response to haloperidol. Next, we report new cortical regions downstream of whisker-evoked sensory processing during active exploration. Last, we combine activity mapping with axon tracing to un-cover new brain regions differentially activated during parenting behavior. This pipeline is widely applicable to different experimental paradigms, including animal species for which transgenic activity reporters are not readily available.Terms of Use
This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAPCitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:37907100
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