TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments

Abstract 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 wirel...

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Autores principales: Zhou Jiang, John R. Huxter, Stuart A. Bowyer, Anthony J. Blockeel, James Butler, Syed A. Imtiaz, Keith A. Wafford, Keith G. Phillips, Mark D. Tricklebank, Hugh M. Marston, Esther Rodriguez-Villegas
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/9aa912140cf2499285491ee71ff839b7
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spelling oai:doaj.org-article:9aa912140cf2499285491ee71ff839b72021-12-02T11:40:52ZTaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments10.1038/s41598-017-08078-82045-2322https://doaj.org/article/9aa912140cf2499285491ee71ff839b72017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08078-8https://doaj.org/toc/2045-2322Abstract 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.Zhou JiangJohn R. HuxterStuart A. BowyerAnthony J. BlockeelJames ButlerSyed A. ImtiazKeith A. WaffordKeith G. PhillipsMark D. TricklebankHugh M. MarstonEsther Rodriguez-VillegasNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Zhou Jiang
John R. Huxter
Stuart A. Bowyer
Anthony J. Blockeel
James Butler
Syed A. Imtiaz
Keith A. Wafford
Keith G. Phillips
Mark D. Tricklebank
Hugh M. Marston
Esther Rodriguez-Villegas
TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments
description Abstract 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 article
author Zhou Jiang
John R. Huxter
Stuart A. Bowyer
Anthony J. Blockeel
James Butler
Syed A. Imtiaz
Keith A. Wafford
Keith G. Phillips
Mark D. Tricklebank
Hugh M. Marston
Esther Rodriguez-Villegas
author_facet Zhou Jiang
John R. Huxter
Stuart A. Bowyer
Anthony J. Blockeel
James Butler
Syed A. Imtiaz
Keith A. Wafford
Keith G. Phillips
Mark D. Tricklebank
Hugh M. Marston
Esther Rodriguez-Villegas
author_sort Zhou Jiang
title 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_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_sort taini: maximizing research output whilst improving animals’ welfare in neurophysiology experiments
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/9aa912140cf2499285491ee71ff839b7
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