Methodological constraints have hindered direct measurement of reticulospinal 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 perturbation. Thus, functional magnetic resonance imaging (fMRI) during robot-evoked LLRs under different task goals may be a method to measure motor-related RST function. We have developed the Dual Motor StretchWrist (DMSW), a new MR-compatible robotic perturbation system, and validated its functionality via experiments that used surface electromyography (sEMG) and fMRI. A first study was conducted outside the MRI scanner on six participants using sEMG to measure wrist flexor muscle activity associated with LLRs under different task instructions. Participants were given a Yield or Resist instruction before each trial and performance feedback based on the measured resistive torque was provided after every "Resist" trial to standardize LLR amplitude (LLRa). In a second study, ten participants completed two sessions of blocked perturbations under 1) Yield, 2) Resist, and 3) Yield Slow task conditions (control) during whole-brain fMRI. Statistical analysis of sEMG data shows significantly greater LLRa in Resist relative to Yield. Analysis of functional images shows increased activation primarily in the bilateral medulla and midbrain, and contralateral pons and primary motor cortex in the Resist condition. The results validate the capability of the DMSW to elicit LLRs of wrist muscles with different amplitudes as a function of task instruction, and its capability of simultaneous operation during fMRI.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10942303PMC
http://dx.doi.org/10.1101/2024.03.01.583025DOI Listing

Publication Analysis

Top Keywords

robotic perturbation
8
perturbation system
8
rst function
8
llrs task
8
yield resist
8
development mri-compatible
4
mri-compatible robotic
4
system studying
4
studying task-dependent
4
task-dependent contribution
4

Similar Publications

Balance recovery schemes following mediolateral gyroscopic moment perturbations during walking.

PLoS One

December 2024

Lauflabor Locomotion Laboratory, Institute of Sport Science, Centre for Cognitive Science, Technische Universität Darmstadt, Hessen, Germany.

Maintaining balance during human walking hinges on the exquisite orchestration of whole-body angular momentum (WBAM). This study delves into the regulation of WBAM during gait by examining balance strategies in response to upper-body moment perturbations in the frontal plane. A portable Angular Momentum Perturbator (AMP) was utilized in this work, capable of generating perturbation torques on the upper body while minimizing the impact on the center of mass (CoM) excursions.

View Article and Find Full Text PDF

Non-monotonic frictional behavior in the lubricated sliding of soft patterned surfaces.

Soft Matter

December 2024

Department of Mechanical Engineering, University of California, Riverside, California, 92521, USA.

We study the lubricated contact of sliding soft surfaces that are locally patterned but globally cylindrical, held together under an external normal force. We consider gently engineered sinusoidal patterns with small slopes. Three dimensionless parameters govern the system: a speed, and the amplitude and wavelength of the pattern.

View Article and Find Full Text PDF

Design and Validation of a Tripping-Eliciting Platform Based on Compliant Random Obstacles.

IEEE Open J Eng Med Biol

November 2024

Biomechatronics Laboratory, Department of Mechatronics and Mechanical SystemsEscola Politécnica da Universidade de São Paulo (USP) São Paulo 05508-010 Brazil.

The experimental study of the stumble phenomena is essential to develop novel technological solutions to limit harmful effects in at-risk populations. A versatile platform to deliver realistic and unanticipated tripping perturbations, controllable in their strength and timing, would be beneficial for this field of study. We built a modular tripping-eliciting system based on multiple compliant trip blocks that deliver unanticipated tripping perturbations.

View Article and Find Full Text PDF

A task as simple as holding a cup between your fingers generates complex motor commands to finely regulate the forces applied by muscles. These fine force adjustments ensure the stability and integrity of the object by preventing it from slipping out of grip during manipulation and by reacting to perturbations. To do so, our sensorimotor system constantly monitors tactile and proprioceptive information about the force object exerts on fingertips and the friction of the surfaces to determine the optimal grip force.

View Article and Find Full Text PDF

Generalization analysis of adversarial pairwise learning.

Neural Netw

November 2024

College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; Engineering Research Center of Intelligent Technology for Agriculture, Ministry of Education, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China.

Adversarial pairwise learning has become the predominant method to enhance the discrimination ability of models against adversarial attacks, achieving tremendous success in various application fields. Despite excellent empirical performance, adversarial robustness and generalization of adversarial pairwise learning remain poorly understood from the theoretical perspective. This paper moves towards this by establishing the high-probability generalization bounds.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!