Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115309
Title: Somatosensory integration in robot-assisted motor restoration post-stroke
Authors: Lin, L
Qing, W
Zheng, Z
Poon, W
Guo, SS
Zhang, S
Hu, XL 
Issue Date: Nov-2024
Source: Frontiers in aging neuroscience, 6 Nov. 2024, v. 16, 1491678
Abstract: Disruption of somatosensorimotor integration (SMI) after stroke is a significant obstacle to achieving precise motor restoration. Integrating somatosensory input into motor relearning to reconstruct SMI is critical during stroke rehabilitation. However, current robotic approaches focus primarily on precise control of repetitive movements and rarely effectively engage and modulate somatosensory responses, which impedes motor rehabilitation that relies on SMI. This article discusses how to effectively regulate somatosensory feedback from target muscles through peripheral and central neuromodulatory stimulations based on quantitatively measured somatosensory responses in real time during robot-assisted rehabilitation after stroke. Further development of standardized recording protocols and diagnostic databases of quantitative neuroimaging features in response to post-stroke somatosensory stimulations for real-time precise detection, and optimized combinations of peripheral somatosensory stimulations with robot assistance and central nervous neuromodulation are needed to enhance the recruitment of targeted ascending neuromuscular pathways in robot-assisted training, aiming to achieve precise muscle control and integrated somatosensorimotor functions, thereby improving long-term neurorehabilitation after stroke.
Keywords: Movement recovery
Neuroimaging
Neuromodulation
Rehabilitation
Robot
Sensorimotor integration
Somatosensory stimulation
Stroke
Article
Berg balance scale
Blood flow velocity
Brain blood flow
Central nervous system
Cerebrovascular accident
Deltoid muscle
Dorsolateral prefrontal cortex
Echography
Electroencephalography
Electromyography
Electrostimulation
Entropy
Feedback system
Functional connectivity
Health care quality
Hemodynamics
Human
Integration
Learning
Mean arterial pressure
Motor evoked potential
Motor performance
Motor restoration
Nerve cell plasticity
Nerve stimulation
Neuroimaging
Neuromodulation
Neuromuscular electrical stimulation
Neurorehabilitation
Nociception
Optogenetics
Primary motor cortex
Protocol
Pulsatility index
Rehabilitation medicine
Robot assisted surgery
Sensorimotor integration
Sensory cortex
Signal noise ratio
Somatosensory cortex
Somatosensory stimulation
Somatosensory system
Spinal cord injury
Stroke rehabilitation
Tactile stimulation
Telerehabilitation
Training
Transcranial direct current stimulation
Transcranial magnetic stimulation
Publisher: Frontiers Research Foundation
Journal: Frontiers in aging neuroscience 
EISSN: 1663-4365
DOI: 10.3389/fnagi.2024.1491678
Rights: © 2024 Lin, Qing, Zheng, Poon, Guo, Zhang and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
The following publication Lin, L., Qing, W., Zheng, Z., Poon, W., Guo, S., Zhang, S., & Hu, X. (2024). Somatosensory integration in robot-assisted motor restoration post-stroke. Frontiers in Aging Neuroscience, 16, 1491678 is available at https://doi.org/10.3389/fnagi.2024.1491678.
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