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Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury
The supraspinal connectome is essential for normal behavior and homeostasis and consists of numerous sensory, motor, and autonomic projections from brain to spinal cord. Study of supraspinal control and its restoration after damage has focused mostly on a handful of major populations that carry moto...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345604/ https://www.ncbi.nlm.nih.gov/pubmed/35838234 http://dx.doi.org/10.7554/eLife.76254 |
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author | Wang, Zimei Romanski, Adam Mehra, Vatsal Wang, Yunfang Brannigan, Matthew Campbell, Benjamin C Petsko, Gregory A Tsoulfas, Pantelis Blackmore, Murray G |
author_facet | Wang, Zimei Romanski, Adam Mehra, Vatsal Wang, Yunfang Brannigan, Matthew Campbell, Benjamin C Petsko, Gregory A Tsoulfas, Pantelis Blackmore, Murray G |
author_sort | Wang, Zimei |
collection | PubMed |
description | The supraspinal connectome is essential for normal behavior and homeostasis and consists of numerous sensory, motor, and autonomic projections from brain to spinal cord. Study of supraspinal control and its restoration after damage has focused mostly on a handful of major populations that carry motor commands, with only limited consideration of dozens more that provide autonomic or crucial motor modulation. Here, we assemble an experimental workflow to rapidly profile the entire supraspinal mesoconnectome in adult mice and disseminate the output in a web-based resource. Optimized viral labeling, 3D imaging, and registration to a mouse digital neuroanatomical atlas assigned tens of thousands of supraspinal neurons to 69 identified regions. We demonstrate the ability of this approach to clarify essential points of topographic mapping between spinal levels, measure population-specific sensitivity to spinal injury, and test the relationships between region-specific neuronal sparing and variability in functional recovery. This work will spur progress by broadening understanding of essential but understudied supraspinal populations. |
format | Online Article Text |
id | pubmed-9345604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-93456042022-08-03 Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury Wang, Zimei Romanski, Adam Mehra, Vatsal Wang, Yunfang Brannigan, Matthew Campbell, Benjamin C Petsko, Gregory A Tsoulfas, Pantelis Blackmore, Murray G eLife Neuroscience The supraspinal connectome is essential for normal behavior and homeostasis and consists of numerous sensory, motor, and autonomic projections from brain to spinal cord. Study of supraspinal control and its restoration after damage has focused mostly on a handful of major populations that carry motor commands, with only limited consideration of dozens more that provide autonomic or crucial motor modulation. Here, we assemble an experimental workflow to rapidly profile the entire supraspinal mesoconnectome in adult mice and disseminate the output in a web-based resource. Optimized viral labeling, 3D imaging, and registration to a mouse digital neuroanatomical atlas assigned tens of thousands of supraspinal neurons to 69 identified regions. We demonstrate the ability of this approach to clarify essential points of topographic mapping between spinal levels, measure population-specific sensitivity to spinal injury, and test the relationships between region-specific neuronal sparing and variability in functional recovery. This work will spur progress by broadening understanding of essential but understudied supraspinal populations. eLife Sciences Publications, Ltd 2022-07-15 /pmc/articles/PMC9345604/ /pubmed/35838234 http://dx.doi.org/10.7554/eLife.76254 Text en © 2022, Wang et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Wang, Zimei Romanski, Adam Mehra, Vatsal Wang, Yunfang Brannigan, Matthew Campbell, Benjamin C Petsko, Gregory A Tsoulfas, Pantelis Blackmore, Murray G Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
title | Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
title_full | Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
title_fullStr | Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
title_full_unstemmed | Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
title_short | Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
title_sort | brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345604/ https://www.ncbi.nlm.nih.gov/pubmed/35838234 http://dx.doi.org/10.7554/eLife.76254 |
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