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Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait

Noisy waveforms, sampled from an episode of fictive locomotion (FL) and delivered to a dorsal root (DR), are a novel electrical stimulating protocol demonstrated as the most effective for generating the locomotor rhythm in the rat isolated spinal cord. The present study explored if stimulating proto...

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Autores principales: Dose, Francesco, Menosso, Rachele, Taccola, Giuliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831921/
https://www.ncbi.nlm.nih.gov/pubmed/24303112
http://dx.doi.org/10.1002/phy2.25
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author Dose, Francesco
Menosso, Rachele
Taccola, Giuliano
author_facet Dose, Francesco
Menosso, Rachele
Taccola, Giuliano
author_sort Dose, Francesco
collection PubMed
description Noisy waveforms, sampled from an episode of fictive locomotion (FL) and delivered to a dorsal root (DR), are a novel electrical stimulating protocol demonstrated as the most effective for generating the locomotor rhythm in the rat isolated spinal cord. The present study explored if stimulating protocols constructed by sampling real human locomotion could be equally efficient to activate these locomotor networks in vitro. This approach may extend the range of usable stimulation protocols and provide a wide palette of noisy waveforms for this purpose. To this end, recorded electromyogram (EMG) from leg muscles of walking adult volunteers provided a protocol named ReaListim (Real Locomotion-induced stimulation) that applied to a single DR successfully activated FL. The smoothed kinematic profile of the same gait failed to do so like nonphasic noisy patterns derived from standing and isometric contraction. Power spectrum analysis showed distinctive low-frequency domains in ReaListim, along with the high-frequency background noise. The current study indicates that limb EMG signals (recorded during human locomotion) applied to DR of the rat spinal cord are more effective than EMG traces taken during standing or isometric contraction of the same muscles to activate locomotor networks. Finally, EMGs recorded during various human motor tasks demonstrated that noisy waves of the same periodicity as ReaListim, could efficiently activate the in vitro central pattern generator (CPG), regardless of the motor task from which they had been sampled. These data outline new strategies to optimize functional stimulation of spinal networks after injury.
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spelling pubmed-38319212013-12-03 Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait Dose, Francesco Menosso, Rachele Taccola, Giuliano Physiol Rep Original Research Noisy waveforms, sampled from an episode of fictive locomotion (FL) and delivered to a dorsal root (DR), are a novel electrical stimulating protocol demonstrated as the most effective for generating the locomotor rhythm in the rat isolated spinal cord. The present study explored if stimulating protocols constructed by sampling real human locomotion could be equally efficient to activate these locomotor networks in vitro. This approach may extend the range of usable stimulation protocols and provide a wide palette of noisy waveforms for this purpose. To this end, recorded electromyogram (EMG) from leg muscles of walking adult volunteers provided a protocol named ReaListim (Real Locomotion-induced stimulation) that applied to a single DR successfully activated FL. The smoothed kinematic profile of the same gait failed to do so like nonphasic noisy patterns derived from standing and isometric contraction. Power spectrum analysis showed distinctive low-frequency domains in ReaListim, along with the high-frequency background noise. The current study indicates that limb EMG signals (recorded during human locomotion) applied to DR of the rat spinal cord are more effective than EMG traces taken during standing or isometric contraction of the same muscles to activate locomotor networks. Finally, EMGs recorded during various human motor tasks demonstrated that noisy waves of the same periodicity as ReaListim, could efficiently activate the in vitro central pattern generator (CPG), regardless of the motor task from which they had been sampled. These data outline new strategies to optimize functional stimulation of spinal networks after injury. Blackwell Publishing Ltd 2013-07 2013-07-08 /pmc/articles/PMC3831921/ /pubmed/24303112 http://dx.doi.org/10.1002/phy2.25 Text en © 2013 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of the American Physiological Society and The Physiological Society http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Research
Dose, Francesco
Menosso, Rachele
Taccola, Giuliano
Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
title Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
title_full Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
title_fullStr Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
title_full_unstemmed Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
title_short Rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
title_sort rat locomotor spinal circuits in vitro are activated by electrical stimulation with noisy waveforms sampled from human gait
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831921/
https://www.ncbi.nlm.nih.gov/pubmed/24303112
http://dx.doi.org/10.1002/phy2.25
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