Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nsiangani, Armel, Del Rosario, Joseph, Yeh, Alan C., Shin, Donghoon, Wells, Shea, Lev-Ari, Tidhar, Williams, Brice, Haider, Bilal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784647404156354560
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
work_keys_str_mv AT nsianganiarmel optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT delrosariojoseph optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT yehalanc optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT shindonghoon optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT wellsshea optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT levaritidhar optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT williamsbrice optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex
AT haiderbilal optimizingintactskullintrinsicsignalimagingforsubsequenttargetedelectrophysiologyacrossmousevisualcortex