Upper Limb Sensory-Motor Control During Exposure to Different Mechanical Environments in Multiple Sclerosis Subjects With No Clinical Disability.

motor control multiple sclerosis muscle synergies robotic assessment spinal maps upper limb

Journal

Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958

Informations de publication

Date de publication:
2022
Historique:
received: 14 04 2022
accepted: 09 06 2022
entrez: 28 7 2022
pubmed: 29 7 2022
medline: 29 7 2022
Statut: epublish

Résumé

Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease resulting in motor impairments associated with muscle weakness and lack of movement coordination. The goal of this work was to quantify upper limb motor deficits in asymptomatic MS subjects with a robot-based assessment including performance and muscle synergies analysis. A total of 7 subjects (MS: 3 M-4 F; 42 ± 10 years) with clinically definite MS according to McDonald criteria, but with no clinical disability, and 7 age- and sex-matched subjects without a history of neurological disorders participated in the study. All subjects controlled a cursor on the computer screen by moving their hand or applying forces in 8 coplanar directions at their self-selected speed. They grasped the handle of a robotic planar manipulandum that generated four different environments: null, assistive or resistive forces, and rigid constraint. Simultaneously, the activity of 15 upper body muscles was recorded. Asymptomatic MS subjects generated less smooth and less accurate cursor trajectories than control subjects in controlling a force profile, while the end-point error was significantly different also in the other environments. The EMG analysis revealed different muscle activation patterns in MS subjects when exerting isometric forces or when moving in presence of external forces generated by a robot. While the two populations had the same number and similar structure of muscle synergies, they had different activation profiles. These results suggested that a task requiring to control forces against a rigid environment allows better than movement tasks to detect early sensory-motor signs related to the onset of symptoms of multiple sclerosis and to differentiate between stages of the disease.

Identifiants

pubmed: 35898562
doi: 10.3389/fnbot.2022.920118
pmc: PMC9309790
doi:

Types de publication

Journal Article

Langues

eng

Pagination

920118

Informations de copyright

Copyright © 2022 Pierella, Pellegrino, Muller, Inglese, Solaro, Coscia and Casadio.

Déclaration de conflit d'intérêts

MCo was employed by confinis ag. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Camilla Pierella (C)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, and Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.
Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.

Laura Pellegrino (L)

Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.

Margit Muller (M)

Department of Rehabilitation, C.R.R.F. "Mons. L. Novarese", Moncrivello, Italy.

Matilde Inglese (M)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, and Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.
IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Claudio Solaro (C)

Department of Rehabilitation, C.R.R.F. "Mons. L. Novarese", Moncrivello, Italy.

Martina Coscia (M)

confinis ag, Düdingen, Switzerland.

Maura Casadio (M)

Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.

Classifications MeSH