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TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments
Understanding brain function at the cell and circuit level requires representation of neuronal activity through multiple recording sites and at high sampling rates. Traditional tethered recording systems restrict movement and limit the environments suitable for testing, while existing wireless techn...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556067/ https://www.ncbi.nlm.nih.gov/pubmed/28808347 http://dx.doi.org/10.1038/s41598-017-08078-8 |
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author | Jiang, Zhou Huxter, John R. Bowyer, Stuart A. Blockeel, Anthony J. Butler, James Imtiaz, Syed A. Wafford, Keith A. Phillips, Keith G. Tricklebank, Mark D. Marston, Hugh M. Rodriguez-Villegas, Esther |
author_facet | Jiang, Zhou Huxter, John R. Bowyer, Stuart A. Blockeel, Anthony J. Butler, James Imtiaz, Syed A. Wafford, Keith A. Phillips, Keith G. Tricklebank, Mark D. Marston, Hugh M. Rodriguez-Villegas, Esther |
author_sort | Jiang, Zhou |
collection | PubMed |
description | Understanding brain function at the cell and circuit level requires representation of neuronal activity through multiple recording sites and at high sampling rates. Traditional tethered recording systems restrict movement and limit the environments suitable for testing, while existing wireless technology is still too heavy for extended recording in mice. Here we tested TaiNi, a novel ultra-lightweight (<2 g) low power wireless system allowing 72-hours of recording from 16 channels sampled at ~19.5 KHz (9.7 KHz bandwidth). We captured local field potentials and action-potentials while mice engaged in unrestricted behaviour in a variety of environments and while performing tasks. Data was synchronized to behaviour with sub-second precision. Comparisons with a state-of-the-art wireless system demonstrated a significant improvement in behaviour owing to reduced weight. Parallel recordings with a tethered system revealed similar spike detection and clustering. TaiNi represents a significant advance in both animal welfare in electrophysiological experiments, and the scope for continuously recording large amounts of data from small animals. |
format | Online Article Text |
id | pubmed-5556067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55560672017-08-16 TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments Jiang, Zhou Huxter, John R. Bowyer, Stuart A. Blockeel, Anthony J. Butler, James Imtiaz, Syed A. Wafford, Keith A. Phillips, Keith G. Tricklebank, Mark D. Marston, Hugh M. Rodriguez-Villegas, Esther Sci Rep Article Understanding brain function at the cell and circuit level requires representation of neuronal activity through multiple recording sites and at high sampling rates. Traditional tethered recording systems restrict movement and limit the environments suitable for testing, while existing wireless technology is still too heavy for extended recording in mice. Here we tested TaiNi, a novel ultra-lightweight (<2 g) low power wireless system allowing 72-hours of recording from 16 channels sampled at ~19.5 KHz (9.7 KHz bandwidth). We captured local field potentials and action-potentials while mice engaged in unrestricted behaviour in a variety of environments and while performing tasks. Data was synchronized to behaviour with sub-second precision. Comparisons with a state-of-the-art wireless system demonstrated a significant improvement in behaviour owing to reduced weight. Parallel recordings with a tethered system revealed similar spike detection and clustering. TaiNi represents a significant advance in both animal welfare in electrophysiological experiments, and the scope for continuously recording large amounts of data from small animals. Nature Publishing Group UK 2017-08-14 /pmc/articles/PMC5556067/ /pubmed/28808347 http://dx.doi.org/10.1038/s41598-017-08078-8 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jiang, Zhou Huxter, John R. Bowyer, Stuart A. Blockeel, Anthony J. Butler, James Imtiaz, Syed A. Wafford, Keith A. Phillips, Keith G. Tricklebank, Mark D. Marston, Hugh M. Rodriguez-Villegas, Esther TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
title | TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
title_full | TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
title_fullStr | TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
title_full_unstemmed | TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
title_short | TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
title_sort | taini: maximizing research output whilst improving animals’ welfare in neurophysiology experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556067/ https://www.ncbi.nlm.nih.gov/pubmed/28808347 http://dx.doi.org/10.1038/s41598-017-08078-8 |
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