Neuromodulation methods for animal locomotion control

Cho, Yoon Kyung; Kim, Soonyoung; Jung, Hyun Ho; Chang, Jin Woo; Kim, Yong Joong; Shin, Hyung Cheul; Jun, Sang Beom

doi:10.1007/s13534-016-0234-2

Cited by 7 publications

(6 citation statements)

References 92 publications

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“…For the S1 area to control the directional changes of the locomotion of the rat, electrical stimulation was applied to the right S1 as a virtual touch sensation of the left whisker, causing the rat to turn to the right, while stimulation was given to the left S1 to make it turn to the left [34,35]. The proper range of the stimulation amplitude that stably evoked visually observable behavioral responses was determined to be a fixed pulse rate and duration of 0.5 ms and 180 Hz, respectively [4,5].…”

Section: Wired Test For Determination Of the Stimulus Parametersmentioning

confidence: 99%

Remote-Controlled Fully Implantable Neural Stimulator for Freely Moving Small Animal

et al. 2019

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The application of a neural stimulator to small animals is highly desired for the investigation of electrophysiological studies and development of neuroprosthetic devices. For this purpose, it is essential for the device to be implemented with the capabilities of full implantation and wireless control. Here, we present a fully implantable stimulator with remote controllability, compact size, and minimal power consumption. Our stimulator consists of modular units of (1) a surface-type cortical array for inducing directional change of a rat, (2) a depth-type array for providing rewards, and (3) a package for accommodating the stimulating electronics, a battery and ZigBee telemetry, all of which are assembled after independent fabrication and implantation using customized flat cables and connectors. All three modules were packaged using liquid crystal polymer (LCP) to avoid any chemical reaction after implantation. After bench-top evaluation of device functionality, the stimulator was implanted into rats to train the animals to turn to the left (or right) following a directional cue applied to the barrel cortex. Functionality of the device was also demonstrated in a three-dimensional (3D) maze structure, by guiding the rats to better navigate in the maze. The movement of the rat could be wirelessly controlled by a combination of artificial sensation evoked by the surface electrode array and reward stimulation. We could induce rats to turn left or right in free space and help their navigation through the maze. The polymeric packaging and modular design could encapsulate the devices with strict size limitations, which made it possible to fully implant the device into rats. Power consumption was minimized by a dual-mode power-saving scheme with duty cycling. The present study demonstrated feasibility of the proposed neural stimulator to be applied to neuroprosthesis research.

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Section: Wired Test For Determination Of the Stimulus Parametersmentioning

confidence: 99%

Remote-Controlled Fully Implantable Neural Stimulator for Freely Moving Small Animal

et al. 2019

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“…Previous studies have used invasive or noninvasive neural regulation technology to reversibly regulate the activity state of the central nervous system, peripheral nervous system, or autonomic nervous system via electrical stimulation or drug regulation to enhance the decoding accuracy and applicability of BCI (He et al, 2015 ; Cho et al, 2016 ). Among them, transcranial electrical stimulation (tES; Kuo and Nitsche, 2012 ; Bestmann and Walsh, 2017 ), as a non-invasive neuromodulation technique, has attracted considerable attention in recent years.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Event-Related Desynchronization in Motor Imagery Based on Transcranial Electrical Stimulation

Xie

Peng

et al. 2021

Front. Hum. Neurosci.

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Due to the individual differences controlling brain-computer interfaces (BCIs), the applicability and accuracy of BCIs based on motor imagery (MI-BCIs) are limited. To improve the performance of BCIs, this article examined the effect of transcranial electrical stimulation (tES) on brain activity during MI. This article designed an experimental paradigm that combines tES and MI and examined the effects of tES based on the measurements of electroencephalogram (EEG) features in MI processing, including the power spectral density (PSD) and dynamic event-related desynchronization (ERD). Finally, we investigated the effect of tES on the accuracy of MI classification using linear discriminant analysis (LDA). The results showed that the ERD of the μ and β rhythms in the left-hand MI task was enhanced after electrical stimulation with a significant effect in the tDCS group. The average classification accuracy of the transcranial alternating current stimulation (tACS) group and transcranial direct current stimulation (tDCS) group (88.19% and 89.93% respectively) were improved significantly compared to the pre-and pseudo stimulation groups. These findings indicated that tES can improve the performance and applicability of BCI and that tDCS was a potential approach in regulating brain activity and enhancing valid features during noninvasive MI-BCI processing.

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“…Previous studies have used invasive or noninvasive neural regulation technology to reversibly regulate the activity state of the central nervous system, peripheral nervous system, or autonomic nervous system via electrical stimulation or drug regulation to enhance the decoding accuracy and applicability of BCI (He et al, 2015;Cho et al, 2016). Among them, transcranial electrical stimulation (tES; Kuo and Nitsche, 2012;Bestmann and Walsh, 2017), as a non-invasive neuromodulation technique, has attracted considerable attention in recent years.…”

Section: Introductionmentioning

confidence: 99%

Brain-Computer Interfaces for Perception, Learning, and Motor Control

2021

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Neuromodulation methods for animal locomotion control

Cited by 7 publications

References 92 publications

Remote-Controlled Fully Implantable Neural Stimulator for Freely Moving Small Animal

Remote-Controlled Fully Implantable Neural Stimulator for Freely Moving Small Animal

Enhancement of Event-Related Desynchronization in Motor Imagery Based on Transcranial Electrical Stimulation

Brain-Computer Interfaces for Perception, Learning, and Motor Control

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