2018
DOI: 10.1590/2446-4740.00118
|View full text |Cite
|
Sign up to set email alerts
|

Perspectives on the modeling of the neuromusculoskeletal system to investigate the influence of neurodegenerative diseases on sensorimotor control

Abstract: The understanding of the neurophysiological mechanisms underlying movement control can be much furthered using computational models of the neuromusculoskeletal system. Biologically based multi-scale neuromusculoskeletal models have a great potential to provide new theories and explanations related to mechanisms behind muscle force generation at the molecular, cellular, synaptic, and systems levels. Albeit some efforts have been made to investigate how neurodegenerative diseases alter the dynamics of individual… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
2
0
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
3
2

Relationship

1
4

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 88 publications
0
2
0
1
Order By: Relevance
“…A similar computer model of the proprioceptive circuit was coupled with servo motor control of a cadaver finger to test hypotheses about altering γ motor neuron drive on the stretch reflex using realistic muscle and tendon forces [ 37 , 38 ]. Computer models hold great promise for testing hypotheses about the role of fusimotor control in normal movement and disease, but they would benefit from a greater understanding of the biophysical properties of γ motor neurons [ 39 ]. Future advances in recording techniques, experimental paradigms, and computer models can shed further light on human fusimotor control.…”
Section: Tools To Study Gamma Motor Neuron Physiologymentioning
confidence: 99%
“…A similar computer model of the proprioceptive circuit was coupled with servo motor control of a cadaver finger to test hypotheses about altering γ motor neuron drive on the stretch reflex using realistic muscle and tendon forces [ 37 , 38 ]. Computer models hold great promise for testing hypotheses about the role of fusimotor control in normal movement and disease, but they would benefit from a greater understanding of the biophysical properties of γ motor neurons [ 39 ]. Future advances in recording techniques, experimental paradigms, and computer models can shed further light on human fusimotor control.…”
Section: Tools To Study Gamma Motor Neuron Physiologymentioning
confidence: 99%
“…Particularly, studies based on such models have answered many questions on the functioning of pools of spinal cord neurons and how they help control muscle activity as a function of the descending drives from upper centres, the feedback from sensory receptors, and the dynamics of tendons and muscles. With the accumulated knowledge of the fine details that such multiscale models can provide, it is believed that they are ripe to be employed as a tool in the study of neuromuscular diseases [12][13][14][15]. The results of computer simulation studies of such models, when adapted to represent specific diseases, have the potential to: (a) provide relevant insights on how the progression of a specific disease may hamper motor control and affect different quantifiers of electrical and mechanical variables, (b) indicate specific quantitative measurements that could be helpful for neurologic diagnosis as well as for the follow-up during therapy, (c) provide predictions on the levels of success of different treatment approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Esses modelos são capazes de gerar dados equivalentes aos observados experimentalmente, com a grande vantagem de possibilitar a análise sistemática da dinâmica de cada um dos subsistemas envolvidos e de suas interações (RÖHRLE et al, 2019). O uso desses modelos para o estudo de neuropatias pode ajudar a elucidar mecanismos por trás do controle postural, controle da força ou da posição em diferentes níveis de desmielinização axonal, de modo a avançar no entendimento dessas neuropatias, e até mesmo servir como base para estratégias de diagnóstico precoce (ELIAS et al, 2018).…”
Section: Introductionunclassified