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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Nature Portfolio
2017
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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) |
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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 |
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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 |
work_keys_str_mv |
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