Somatosensory integration in robot-assisted motor restoration post-stroke

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.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2024-11-06
DOI
https://doi.org/10.3389/fnagi.2024.1491678
Citations
2
Primary Topic
Transcranial Magnetic Stimulation Studies
Type
article
Field-Weighted Citation Impact
0.49

Funders

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article

Somatosensory integration in robot-assisted motor restoration post-stroke

Shaomin Zhang, Legeng Lin, Xiaoling Hu, Wanyi Qing et al.
2 citations
Frontiers in Aging Neuroscience
Transcranial Magnetic Stimulation Studies
0.49
article

Somatosensory integration in robot-assisted motor restoration post-stroke

Shaomin Zhang, Legeng Lin, Xiaoling Hu, Wanyi Qing, Wai Sang Poon, Zijian Zheng, Song Guo
article en
2 citations

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.

Frontiers in Aging NeuroscienceVol. 16
Hong Kong Polytechnic University (HK), Chinese University of Hong Kong (HK), Hong Kong University of Science and Technology (HK), Zhejiang University (CN)
Innovation and Technology Fund
Openalex Percentile: Top 33%
Transcranial Magnetic Stimulation Studies
0.49
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Somatosensory integration in robot-assisted motor restoration post-stroke — Shaomin Zhang, Legeng Lin, et al. · Frontiers in Aging Neuroscience (2024) | TGRS Research Map | TGRS