A global view on how local muscular fatigue affects human performance

There is a growing interest in scientific literature on identifying how and to what extent interventions applied to a specific body region influence the responses and functions of other seemingly unrelated body regions. To investigate such a construct, it is necessary to have a global multivariate m...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 117; no. 33; pp. 19866 - 19872
Main Authors Goethel, Márcio F., Gonçalves, Mauro, Brietzke, Cayque, Cardozo, Adalgiso C., Vilas-Boas, João P., Ervilha, Ulysses F.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 18.08.2020
Subjects
Artificial neural networks
Biological Sciences
Control systems
Fatigue
Female
Hip
Human performance
Humans
Motor skill
Motor Skills
Multivariate analysis
Muscle Fatigue
Muscle, Skeletal - physiology
Muscles
Muscular fatigue
Neural networks
Neural Networks, Computer
Physical Functional Performance
Postural Balance
Proprioception
Young Adult
artificial neural network
self-organizing feature maps
exercise
fatigue
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Summary:There is a growing interest in scientific literature on identifying how and to what extent interventions applied to a specific body region influence the responses and functions of other seemingly unrelated body regions. To investigate such a construct, it is necessary to have a global multivariate model that considers the interaction among several variables that are involved in a specific task and how a local and acute impairment affects the behavior of the output of such a model. We developed an artificial neural network (ANN)-based multivariate model by using parameters of motor skills obtained from kinematic, postural control, joint torque, and proprioception variables to assess the local fatigue effects of the abductor hip muscles on the functional profile during a single-leg drop landing and a squatting task. Findings suggest that hip abductor muscles’ local fatigue produces a significant effect on a general functional profile, built on different control systems. We propose that expanded and global approaches, such as the one used in this study, have great applicability and have the potential to serve as a tool that guarantees ecological validity of future investigations.
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Author contributions: M.F.G. and M.G. designed research; M.F.G. and U.F.E. performed research; M.F.G. and U.F.E. analyzed data; and M.F.G., C.B., A.C.C., J.P.V.-B., and U.F.E. wrote the paper.
Edited by Peter L. Strick, University of Pittsburgh, Pittsburgh, PA, and approved July 10, 2020 (received for review April 28, 2020)
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.2007579117