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State-Dependent Gain Modulation of Spinal Motor Output
Afferent somatosensory information plays a crucial role in modulating efferent motor output. A better understanding of this sensorimotor interplay may inform the design of neurorehabilitation interfaces. Current neurotechnological approaches that address motor restoration after trauma or stroke comb...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561675/ https://www.ncbi.nlm.nih.gov/pubmed/33117775 http://dx.doi.org/10.3389/fbioe.2020.523866 |
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author | Guggenberger, Robert Raco, Valerio Gharabaghi, Alireza |
author_facet | Guggenberger, Robert Raco, Valerio Gharabaghi, Alireza |
author_sort | Guggenberger, Robert |
collection | PubMed |
description | Afferent somatosensory information plays a crucial role in modulating efferent motor output. A better understanding of this sensorimotor interplay may inform the design of neurorehabilitation interfaces. Current neurotechnological approaches that address motor restoration after trauma or stroke combine motor imagery (MI) and contingent somatosensory feedback, e.g., via peripheral stimulation, to induce corticospinal reorganization. These interventions may, however, change the motor output already at the spinal level dependent on alterations of the afferent input. Neuromuscular electrical stimulation (NMES) was combined with measurements of wrist deflection using a kinematic glove during either MI or rest. We investigated 360 NMES bursts to the right forearm of 12 healthy subjects at two frequencies (30 and 100 Hz) in random order. For each frequency, stimulation was assessed at nine intensities. Measuring the induced wrist deflection across different intensities allowed us to estimate the input-output curve (IOC) of the spinal motor output. MI decreased the slope of the IOC independent of the stimulation frequency. NMES with 100 Hz vs. 30 Hz decreased the threshold of the IOC. Human-machine interfaces for neurorehabilitation that combine MI and NMES need to consider bidirectional communication and may utilize the gain modulation of spinal circuitries by applying low-intensity, high-frequency stimulation. |
format | Online Article Text |
id | pubmed-7561675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75616752020-10-27 State-Dependent Gain Modulation of Spinal Motor Output Guggenberger, Robert Raco, Valerio Gharabaghi, Alireza Front Bioeng Biotechnol Bioengineering and Biotechnology Afferent somatosensory information plays a crucial role in modulating efferent motor output. A better understanding of this sensorimotor interplay may inform the design of neurorehabilitation interfaces. Current neurotechnological approaches that address motor restoration after trauma or stroke combine motor imagery (MI) and contingent somatosensory feedback, e.g., via peripheral stimulation, to induce corticospinal reorganization. These interventions may, however, change the motor output already at the spinal level dependent on alterations of the afferent input. Neuromuscular electrical stimulation (NMES) was combined with measurements of wrist deflection using a kinematic glove during either MI or rest. We investigated 360 NMES bursts to the right forearm of 12 healthy subjects at two frequencies (30 and 100 Hz) in random order. For each frequency, stimulation was assessed at nine intensities. Measuring the induced wrist deflection across different intensities allowed us to estimate the input-output curve (IOC) of the spinal motor output. MI decreased the slope of the IOC independent of the stimulation frequency. NMES with 100 Hz vs. 30 Hz decreased the threshold of the IOC. Human-machine interfaces for neurorehabilitation that combine MI and NMES need to consider bidirectional communication and may utilize the gain modulation of spinal circuitries by applying low-intensity, high-frequency stimulation. Frontiers Media S.A. 2020-10-02 /pmc/articles/PMC7561675/ /pubmed/33117775 http://dx.doi.org/10.3389/fbioe.2020.523866 Text en Copyright © 2020 Guggenberger, Raco and Gharabaghi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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. |
spellingShingle | Bioengineering and Biotechnology Guggenberger, Robert Raco, Valerio Gharabaghi, Alireza State-Dependent Gain Modulation of Spinal Motor Output |
title | State-Dependent Gain Modulation of Spinal Motor Output |
title_full | State-Dependent Gain Modulation of Spinal Motor Output |
title_fullStr | State-Dependent Gain Modulation of Spinal Motor Output |
title_full_unstemmed | State-Dependent Gain Modulation of Spinal Motor Output |
title_short | State-Dependent Gain Modulation of Spinal Motor Output |
title_sort | state-dependent gain modulation of spinal motor output |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561675/ https://www.ncbi.nlm.nih.gov/pubmed/33117775 http://dx.doi.org/10.3389/fbioe.2020.523866 |
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