Robotics & Machine Learning Daily News2024,Issue(Mar.18) :195-196.

Development of an MRI-compatible robotic perturbation system for studying the ta sk-dependent contribution of the brainstem to long-latency responses

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :195-196.

Development of an MRI-compatible robotic perturbation system for studying the ta sk-dependent contribution of the brainstem to long-latency responses

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – According to news reporting based on a preprint a bstract, our journalists obtained the following quote sourced from biorxiv.org: “Methodological constraints have hindered direct in vivo measurement of reticulo spinal tract (RST) function. The RST is thought to contribute to the increase in the amplitude of a long latency response (LLR), a stereotypical response evoked in stretched muscles, that arises when participants are asked to resist a pertu rbation. Thus, functional magnetic resonance imaging (fMRI) during robot-evoked LLRs under different task goals may be a method to measure motor-related RST fun ction.

Key words

Bioengineering/Biotechnology/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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