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Multi-neuron intracellular recording in vivo via interacting autopatching robots
The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spikin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812718/ https://www.ncbi.nlm.nih.gov/pubmed/29297466 http://dx.doi.org/10.7554/eLife.24656 |
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author | Kodandaramaiah, Suhasa B Flores, Francisco J Holst, Gregory L Singer, Annabelle C Han, Xue Brown, Emery N Boyden, Edward S Forest, Craig R |
author_facet | Kodandaramaiah, Suhasa B Flores, Francisco J Holst, Gregory L Singer, Annabelle C Han, Xue Brown, Emery N Boyden, Edward S Forest, Craig R |
author_sort | Kodandaramaiah, Suhasa B |
collection | PubMed |
description | The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of automatically obtaining blind whole-cell patch clamp recordings from multiple neurons simultaneously. The multipatcher significantly extends automated patch clamping, or 'autopatching’, to guide four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain. We demonstrate its performance in the cortex of anesthetized and awake mice. A multipatcher with four electrodes took an average of 10 min to obtain dual or triple recordings in 29% of trials in anesthetized mice, and in 18% of the trials in awake mice, thus illustrating practical yield and throughput to obtain multiple, simultaneous whole-cell recordings in vivo. |
format | Online Article Text |
id | pubmed-5812718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-58127182018-02-16 Multi-neuron intracellular recording in vivo via interacting autopatching robots Kodandaramaiah, Suhasa B Flores, Francisco J Holst, Gregory L Singer, Annabelle C Han, Xue Brown, Emery N Boyden, Edward S Forest, Craig R eLife Neuroscience The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of automatically obtaining blind whole-cell patch clamp recordings from multiple neurons simultaneously. The multipatcher significantly extends automated patch clamping, or 'autopatching’, to guide four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain. We demonstrate its performance in the cortex of anesthetized and awake mice. A multipatcher with four electrodes took an average of 10 min to obtain dual or triple recordings in 29% of trials in anesthetized mice, and in 18% of the trials in awake mice, thus illustrating practical yield and throughput to obtain multiple, simultaneous whole-cell recordings in vivo. eLife Sciences Publications, Ltd 2018-01-03 /pmc/articles/PMC5812718/ /pubmed/29297466 http://dx.doi.org/10.7554/eLife.24656 Text en © 2018, Kodandaramaiah et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Kodandaramaiah, Suhasa B Flores, Francisco J Holst, Gregory L Singer, Annabelle C Han, Xue Brown, Emery N Boyden, Edward S Forest, Craig R Multi-neuron intracellular recording in vivo via interacting autopatching robots |
title | Multi-neuron intracellular recording in vivo via interacting autopatching robots |
title_full | Multi-neuron intracellular recording in vivo via interacting autopatching robots |
title_fullStr | Multi-neuron intracellular recording in vivo via interacting autopatching robots |
title_full_unstemmed | Multi-neuron intracellular recording in vivo via interacting autopatching robots |
title_short | Multi-neuron intracellular recording in vivo via interacting autopatching robots |
title_sort | multi-neuron intracellular recording in vivo via interacting autopatching robots |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812718/ https://www.ncbi.nlm.nih.gov/pubmed/29297466 http://dx.doi.org/10.7554/eLife.24656 |
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