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Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments

Integrating multiple assessment parameters of motor behavior is critical for understanding neural activity dynamics during motor control in both intact and dysfunctional nervous systems. Here, we described a novel approach (termed Multifactorial Behavioral Assessment (MfBA)) to integrate, in real-ti...

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Autores principales: Islam, Riazul, Cuellar, Carlos A., Felmlee, Ben, Riccelli, Tori, Silvernail, Jodi, Boschen, Suelen Lucio, Grahn, Peter, Lavrov, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848091/
https://www.ncbi.nlm.nih.gov/pubmed/31712725
http://dx.doi.org/10.1038/s41598-019-52806-1
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author Islam, Riazul
Cuellar, Carlos A.
Felmlee, Ben
Riccelli, Tori
Silvernail, Jodi
Boschen, Suelen Lucio
Grahn, Peter
Lavrov, Igor
author_facet Islam, Riazul
Cuellar, Carlos A.
Felmlee, Ben
Riccelli, Tori
Silvernail, Jodi
Boschen, Suelen Lucio
Grahn, Peter
Lavrov, Igor
author_sort Islam, Riazul
collection PubMed
description Integrating multiple assessment parameters of motor behavior is critical for understanding neural activity dynamics during motor control in both intact and dysfunctional nervous systems. Here, we described a novel approach (termed Multifactorial Behavioral Assessment (MfBA)) to integrate, in real-time, electrophysiological and biomechanical properties of rodent spinal sensorimotor network activity with behavioral aspects of motor task performance. Specifically, the MfBA simultaneously records limb kinematics, multi-directional forces and electrophysiological metrics, such as high-fidelity chronic intramuscular electromyography synchronized in time to spinal stimulation in order to characterize spinal cord functional motor evoked potentials (fMEPs). Additionally, we designed the MfBA to incorporate a body weight support system to allow bipedal and quadrupedal stepping on a treadmill and in an open field environment to assess function in rodent models of neurologic disorders that impact motor activity. This novel approach was validated using, a neurologically intact cohort, a cohort with unilateral Parkinsonian motor deficits due to midbrain lesioning, and a cohort with complete hind limb paralysis due to T8 spinal cord transection. In the SCI cohort, lumbosacral epidural electrical stimulation (EES) was applied, with and without administration of the serotonergic agonist Quipazine, to enable hind limb motor functions following paralysis. The results presented herein demonstrate the MfBA is capable of integrating multiple metrics of motor activity in order to characterize relationships between EES inputs that modulate mono- and polysynaptic outputs from spinal circuitry which in turn, can be used to elucidate underlying electrophysiologic mechanisms of motor behavior. These results also demonstrate that proposed MfBA is an effective tool to integrate biomechanical and electrophysiology metrics, synchronized to therapeutic inputs such as EES or pharmacology, during body weight supported treadmill or open field motor activities, to target a high range of variations in motor behavior as a result of neurological deficit at the different levels of CNS.
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spelling pubmed-68480912019-11-19 Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments Islam, Riazul Cuellar, Carlos A. Felmlee, Ben Riccelli, Tori Silvernail, Jodi Boschen, Suelen Lucio Grahn, Peter Lavrov, Igor Sci Rep Article Integrating multiple assessment parameters of motor behavior is critical for understanding neural activity dynamics during motor control in both intact and dysfunctional nervous systems. Here, we described a novel approach (termed Multifactorial Behavioral Assessment (MfBA)) to integrate, in real-time, electrophysiological and biomechanical properties of rodent spinal sensorimotor network activity with behavioral aspects of motor task performance. Specifically, the MfBA simultaneously records limb kinematics, multi-directional forces and electrophysiological metrics, such as high-fidelity chronic intramuscular electromyography synchronized in time to spinal stimulation in order to characterize spinal cord functional motor evoked potentials (fMEPs). Additionally, we designed the MfBA to incorporate a body weight support system to allow bipedal and quadrupedal stepping on a treadmill and in an open field environment to assess function in rodent models of neurologic disorders that impact motor activity. This novel approach was validated using, a neurologically intact cohort, a cohort with unilateral Parkinsonian motor deficits due to midbrain lesioning, and a cohort with complete hind limb paralysis due to T8 spinal cord transection. In the SCI cohort, lumbosacral epidural electrical stimulation (EES) was applied, with and without administration of the serotonergic agonist Quipazine, to enable hind limb motor functions following paralysis. The results presented herein demonstrate the MfBA is capable of integrating multiple metrics of motor activity in order to characterize relationships between EES inputs that modulate mono- and polysynaptic outputs from spinal circuitry which in turn, can be used to elucidate underlying electrophysiologic mechanisms of motor behavior. These results also demonstrate that proposed MfBA is an effective tool to integrate biomechanical and electrophysiology metrics, synchronized to therapeutic inputs such as EES or pharmacology, during body weight supported treadmill or open field motor activities, to target a high range of variations in motor behavior as a result of neurological deficit at the different levels of CNS. Nature Publishing Group UK 2019-11-11 /pmc/articles/PMC6848091/ /pubmed/31712725 http://dx.doi.org/10.1038/s41598-019-52806-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Islam, Riazul
Cuellar, Carlos A.
Felmlee, Ben
Riccelli, Tori
Silvernail, Jodi
Boschen, Suelen Lucio
Grahn, Peter
Lavrov, Igor
Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
title Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
title_full Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
title_fullStr Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
title_full_unstemmed Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
title_short Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
title_sort multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848091/
https://www.ncbi.nlm.nih.gov/pubmed/31712725
http://dx.doi.org/10.1038/s41598-019-52806-1
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