A lightweight, wireless Bluetooth-low-energy neuronal recording system for mice

Idogawa, Shinnosuke; Yamashita, Koji; Sanda, Rioki; Koida, Kowa; Kawano, Takeshi

doi:10.1016/j.snb.2020.129423

Cited by 23 publications

(10 citation statements)

References 28 publications

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“…Based on the studies reviewed here and the examples we provided, we have outlined a good starting point such as the structure of excursions, small world and home-ranges in the small world, as well as the spatiotemporal organization of more complex behaviours such a sleeping, drinking, eating, rearing, nesting and walking. Future work that combines ethologically relevant automated behavioral monitoring in the small world with motivational manipulations, electrophysiological and optophysiological recordings will also be instrumental to complement and expand use of the small world approach (Fan et al, 2011;Idogawa et al, 2020;Sanguinetti-Scheck and Brecht, 2020).…”

Section: The Future Of Automated Mouse Behaviour Analysis In a Small ...mentioning

confidence: 99%

Challenges of a small world analysis for the continuous monitoring of behavior in mice

Bermudez-Contreras

Sutherland

Mohajerani

et al. 2022

Neuroscience & Biobehavioral Reviews

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Section: The Future Of Automated Mouse Behaviour Analysis In a Small ...mentioning

confidence: 99%

Challenges of a small world analysis for the continuous monitoring of behavior in mice

Bermudez-Contreras

Sutherland

Mohajerani

et al. 2022

Neuroscience & Biobehavioral Reviews

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“…In [14] and [15], a fully implantable device meets all requirements, but its packaged volume and mass make it unsuitable for use in mice. In [16], a wireless neural recording system is demonstrated in freely moving mice, but it does not contain electrical stimulation capabilities and is not implantable. In both [8] and [17], a flexible implant demonstrates wirelessly controllable optogenetic stimulation, but without biosignal recording functionality.…”

Section: Device Development For Micementioning

confidence: 99%

A Fully Implantable Wireless Bidirectional Neuromodulation System for Mice

Wright

Wong

Mathew

et al. 2021

Preprint

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Novel research in the field of bioelectronic medicine requires systems that pair high-performance neurostimulation and bio-signal acquisition hardware with advanced software signal processing and control algorithms. Although mice are the most commonly used animal in medical research, the size, weight, and power requirements of such systems either preclude their use or impose significant constraints on experimental design. Here, we describe a fully-implantable neuromodulation system suitable for use in mice, measuring 2.2 cm3 and weighing 2.8 g. A bidirectional wireless interface allows simultaneous readout of multiple physiological signals and complete control over stimulation parameters, and a wirelessly rechargeable battery provides a lifetime of up to 5 days on a single charge. The device was successfully implanted (N=12) and a functional neural interface (capable of inducing acute bradycardia) is demonstrated with functional lifetimes exceeding to three weeks. The design utilizes only commercially-available components and 3D-printed packaging, with the goal of accelerating discovery and translation of future bioelectronic therapeutics.

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“…However, there are important advances in brain activity monitoring for behaving mice at multiple scales that could be incorporated to a homecage setting (Gagnon-Turcotte et al, 2015;Bermudez-Contreras et al, 2018;Rynes et al, 2020). Future works that combine automated behavioral monitoring in the homecage with motivational manipulations, electrophysiological and optophysiological recordings will be instrumental to complement and expand use of the small world approach (Fan et al, 2011;Idogawa et al, 2020).…”

Section: The Future Of Automated Mouse Behaviour Analysis In the Homecagementioning

confidence: 99%

Challenges of a small world analysis for the continuous monitoring of behavior in mice

Bermudez-Contreras¹,

Whishaw²,

sutherland³

et al. 2021

Preprint

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The automation of monitoring and analysis of mouse behaviour in a homecage can be obtained from continuous video records with machine learning and computer vision. The approach of recreating a mouse’s “real world” behavior and laboratory test behavior in the “small world” of a laboratory cage can provide insights into phenotypical expression of mouse genotypes, development and aging, and neurological disease. Algorithms identify behavioral acts (walk, rear), actions (sleep duration, distance travelled), organized patterns of movement (home base activity and excursions) over extended periods of time. In addition, performance on specific tests can be incorporated within a mouse’s living arrangement. Here we review approaches to engineering a small world and state of the art machine learning analyses for automated study of mouse homecage behavior. We highlight advantages and limitations of these approaches as a supplement to acute behavioral testing methodology.

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A lightweight, wireless Bluetooth-low-energy neuronal recording system for mice

Cited by 23 publications

References 28 publications

Challenges of a small world analysis for the continuous monitoring of behavior in mice

Challenges of a small world analysis for the continuous monitoring of behavior in mice

A Fully Implantable Wireless Bidirectional Neuromodulation System for Mice

Challenges of a small world analysis for the continuous monitoring of behavior in mice

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