Individual differences in the neural strategies to control the lateral and medial head of the quadriceps during a mechanically constrained task-Reference-Cited by-同舟云学术

Individual differences in the neural strategies to control the lateral and medial head of the quadriceps during a mechanically constrained task

Published:2021-01-01 Issue:1 Volume:130 Page:269-281
ISSN:8750-7587
Container-title:Journal of Applied Physiology
language:en
Short-container-title:Journal of Applied Physiology

Author:

Avrillon Simon¹²³,Del Vecchio Alessandro⁴⁵,Farina Dario⁵^ORCID,Pons José L.¹²,Vogel Clément³,Umehara Jun⁶⁷^ORCID,Hug François³⁸⁹^ORCID

Affiliation:

1. Legs + Walking AbilityLab, Shirley Ryan AbilityLab, Chicago, Illinois

2. Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois

3. Laboratory Movement, Interactions, Performance, Université de Nantes, Nantes, France

4. Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University, Erlangen-Nürnberg, Erlangen, Germany

5. Neuromechanics and Rehabilitation Technology Group, Department of Bioengineering, Faculty of Engineering, Imperial College, London, United Kingdom

6. Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan

7. Japan Society for the Promotion of Science, Tokyo, Japan

8. School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia

9. Institut Universitaire de France, Paris, France

Abstract

We observed that the distribution of the strength of neural drive between the vastus lateralis and vastus medialis during a single-joint isometric task varied across participants. Also, we observed that the proportion of neural drive that was shared within and between these muscles also varied across participants. These results provide evidence that the neural strategies to control the vastus lateralis and vastus medialis muscles widely vary across individuals, even during a mechanically constrained task.

Funder

EC | European Research Council

Agence Nationale de la Recherche

Institut Universitaire de France

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

Link

https://journals.physiology.org/doi/pdf/10.1152/japplphysiol.00653.2020

Reference46 articles.

1. Explaining the unique nature of individual gait patterns with deep learning