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Context expectation influences the gait pattern biomechanics

Beyond classical aspects related to locomotion (biomechanics), it has been hypothesized that walking pattern is influenced by a combination of distinct computations including online sensory/perceptual sampling and the processing of expectations (neuromechanics). Here, we aimed to explore the potenti...

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Autores principales: Ciceri, Tommaso, Malerba, Giorgia, Gatti, Alice, Diella, Eleonora, Peruzzo, Denis, Biffi, Emilia, Casartelli, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079826/
https://www.ncbi.nlm.nih.gov/pubmed/37024572
http://dx.doi.org/10.1038/s41598-023-32665-7
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author Ciceri, Tommaso
Malerba, Giorgia
Gatti, Alice
Diella, Eleonora
Peruzzo, Denis
Biffi, Emilia
Casartelli, Luca
author_facet Ciceri, Tommaso
Malerba, Giorgia
Gatti, Alice
Diella, Eleonora
Peruzzo, Denis
Biffi, Emilia
Casartelli, Luca
author_sort Ciceri, Tommaso
collection PubMed
description Beyond classical aspects related to locomotion (biomechanics), it has been hypothesized that walking pattern is influenced by a combination of distinct computations including online sensory/perceptual sampling and the processing of expectations (neuromechanics). Here, we aimed to explore the potential impact of contrasting scenarios (“risky and potentially dangerous” scenario; “safe and comfortable” scenario) on walking pattern in a group of healthy young adults. Firstly, and consistently with previous literature, we confirmed that the scenario influences gait pattern when it is recalled concurrently to participants’ walking activity (motor interference). More intriguingly, our main result showed that participants’ gait pattern is also influenced by the contextual scenario when it is evoked only before the start of walking activity (motor expectation). This condition was designed to test the impact of expectations (risky scenario vs. safe scenario) on gait pattern, and the stimulation that preceded walking activity served as prior. Noteworthy, we combined statistical and machine learning (Support-Vector Machine classifier) approaches to stratify distinct levels of analyses that explored the multi-facets architecture of walking. In a nutshell, our combined statistical and machine learning analyses converge in suggesting that walking before steps is not just a paradox.
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spelling pubmed-100798262023-04-08 Context expectation influences the gait pattern biomechanics Ciceri, Tommaso Malerba, Giorgia Gatti, Alice Diella, Eleonora Peruzzo, Denis Biffi, Emilia Casartelli, Luca Sci Rep Article Beyond classical aspects related to locomotion (biomechanics), it has been hypothesized that walking pattern is influenced by a combination of distinct computations including online sensory/perceptual sampling and the processing of expectations (neuromechanics). Here, we aimed to explore the potential impact of contrasting scenarios (“risky and potentially dangerous” scenario; “safe and comfortable” scenario) on walking pattern in a group of healthy young adults. Firstly, and consistently with previous literature, we confirmed that the scenario influences gait pattern when it is recalled concurrently to participants’ walking activity (motor interference). More intriguingly, our main result showed that participants’ gait pattern is also influenced by the contextual scenario when it is evoked only before the start of walking activity (motor expectation). This condition was designed to test the impact of expectations (risky scenario vs. safe scenario) on gait pattern, and the stimulation that preceded walking activity served as prior. Noteworthy, we combined statistical and machine learning (Support-Vector Machine classifier) approaches to stratify distinct levels of analyses that explored the multi-facets architecture of walking. In a nutshell, our combined statistical and machine learning analyses converge in suggesting that walking before steps is not just a paradox. Nature Publishing Group UK 2023-04-06 /pmc/articles/PMC10079826/ /pubmed/37024572 http://dx.doi.org/10.1038/s41598-023-32665-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ciceri, Tommaso
Malerba, Giorgia
Gatti, Alice
Diella, Eleonora
Peruzzo, Denis
Biffi, Emilia
Casartelli, Luca
Context expectation influences the gait pattern biomechanics
title Context expectation influences the gait pattern biomechanics
title_full Context expectation influences the gait pattern biomechanics
title_fullStr Context expectation influences the gait pattern biomechanics
title_full_unstemmed Context expectation influences the gait pattern biomechanics
title_short Context expectation influences the gait pattern biomechanics
title_sort context expectation influences the gait pattern biomechanics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079826/
https://www.ncbi.nlm.nih.gov/pubmed/37024572
http://dx.doi.org/10.1038/s41598-023-32665-7
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