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Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex
Understanding brain function requires repeatable measurements of neural activity across multiple scales and multiple brain areas. In mice, large scale cortical neural activity evokes hemodynamic changes readily observable with intrinsic signal imaging (ISI). Pairing ISI with visual stimulation allow...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826313/ https://www.ncbi.nlm.nih.gov/pubmed/35136111 http://dx.doi.org/10.1038/s41598-022-05932-2 |
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author | Nsiangani, Armel Del Rosario, Joseph Yeh, Alan C. Shin, Donghoon Wells, Shea Lev-Ari, Tidhar Williams, Brice Haider, Bilal |
author_facet | Nsiangani, Armel Del Rosario, Joseph Yeh, Alan C. Shin, Donghoon Wells, Shea Lev-Ari, Tidhar Williams, Brice Haider, Bilal |
author_sort | Nsiangani, Armel |
collection | PubMed |
description | Understanding brain function requires repeatable measurements of neural activity across multiple scales and multiple brain areas. In mice, large scale cortical neural activity evokes hemodynamic changes readily observable with intrinsic signal imaging (ISI). Pairing ISI with visual stimulation allows identification of primary visual cortex (V1) and higher visual areas (HVAs), typically through cranial windows that thin or remove the skull. These procedures can diminish long-term mechanical and physiological stability required for delicate electrophysiological measurements made weeks to months after imaging (e.g., in subjects undergoing behavioral training). Here, we optimized and directly validated an intact skull ISI system in mice. We first assessed how imaging quality and duration affect reliability of retinotopic maps in V1 and HVAs. We then verified ISI map retinotopy in V1 and HVAs with targeted, multi-site electrophysiology several weeks after imaging. Reliable ISI maps of V1 and multiple HVAs emerged with ~ 60 trials of imaging (65 ± 6 min), and these showed strong correlation to local field potential (LFP) retinotopy in superficial cortical layers (r(2) = 0.74–0.82). This system is thus well-suited for targeted, multi-area electrophysiology weeks to months after imaging. We provide detailed instructions and code for other researchers to implement this system. |
format | Online Article Text |
id | pubmed-8826313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88263132022-02-10 Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex Nsiangani, Armel Del Rosario, Joseph Yeh, Alan C. Shin, Donghoon Wells, Shea Lev-Ari, Tidhar Williams, Brice Haider, Bilal Sci Rep Article Understanding brain function requires repeatable measurements of neural activity across multiple scales and multiple brain areas. In mice, large scale cortical neural activity evokes hemodynamic changes readily observable with intrinsic signal imaging (ISI). Pairing ISI with visual stimulation allows identification of primary visual cortex (V1) and higher visual areas (HVAs), typically through cranial windows that thin or remove the skull. These procedures can diminish long-term mechanical and physiological stability required for delicate electrophysiological measurements made weeks to months after imaging (e.g., in subjects undergoing behavioral training). Here, we optimized and directly validated an intact skull ISI system in mice. We first assessed how imaging quality and duration affect reliability of retinotopic maps in V1 and HVAs. We then verified ISI map retinotopy in V1 and HVAs with targeted, multi-site electrophysiology several weeks after imaging. Reliable ISI maps of V1 and multiple HVAs emerged with ~ 60 trials of imaging (65 ± 6 min), and these showed strong correlation to local field potential (LFP) retinotopy in superficial cortical layers (r(2) = 0.74–0.82). This system is thus well-suited for targeted, multi-area electrophysiology weeks to months after imaging. We provide detailed instructions and code for other researchers to implement this system. Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8826313/ /pubmed/35136111 http://dx.doi.org/10.1038/s41598-022-05932-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Nsiangani, Armel Del Rosario, Joseph Yeh, Alan C. Shin, Donghoon Wells, Shea Lev-Ari, Tidhar Williams, Brice Haider, Bilal Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
title | Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
title_full | Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
title_fullStr | Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
title_full_unstemmed | Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
title_short | Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
title_sort | optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826313/ https://www.ncbi.nlm.nih.gov/pubmed/35136111 http://dx.doi.org/10.1038/s41598-022-05932-2 |
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