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Instrumented assessment of lower and upper motor neuron signs in amyotrophic lateral sclerosis using robotic manipulation: an explorative study

Authors :
D. J.L. Stikvoort García
B. T.H.M. Sleutjes
W. Mugge
J. J. Plouvier
H. S. Goedee
A. C. Schouten
F. C.T. van der Helm
L. H. van den Berg
Source :
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Amyotrophic lateral sclerosis (ALS) is a lethal progressive neurodegenerative disease characterized by upper motor neuron (UMN) and lower motor neuron (LMN) involvement. Their varying degree of involvement results in a clinical heterogenous picture, making clinical assessments of UMN signs in patients with ALS often challenging. We therefore explored whether instrumented assessment using robotic manipulation could potentially be a valuable tool to study signs of UMN involvement. Methods We examined the dynamics of the wrist joint of 15 patients with ALS and 15 healthy controls using a Wristalyzer single-axis robotic manipulator and electromyography (EMG) recordings in the flexor and extensor muscles in the forearm. Multi-sinusoidal torque perturbations were applied, during which participants were asked to either relax, comply or resist. A neuromuscular model was used to study muscle viscoelasticity, e.g. stiffness (k) and viscosity (b), and reflexive properties, such as velocity, position and force feedback gains (kv, kp and kf, respectively) that dominated the responses. We further obtained clinical signs of LMN (muscle strength) and UMN (e.g. reflexes, spasticity) dysfunction, and evaluated their relation with the estimated neuromuscular model parameters. Results Only force feedback gains (kf) were elevated in patients (p = 0.033) compared to controls. Higher kf, as well as the resulting reflexive torque (Tref), were both associated with more severe UMN dysfunction in the examined arm (p = 0.040 and p

Details

Language :
English
ISSN :
17430003
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of NeuroEngineering and Rehabilitation
Publication Type :
Academic Journal
Accession number :
edsdoj.2449547ea224e9697cfaa8c8803f34d
Document Type :
article
Full Text :
https://doi.org/10.1186/s12984-024-01485-9