Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges

People differ in their susceptibility to stressors, but it is difficult to know a priori who has a higher vulnerability. Here, the authors show that machine learning algorithms applied to locomotor data from people’s exploration of virtual reality scenarios predicts heart rate variability to stress....

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Autores principales:	João Rodrigues, Erik Studer, Stephan Streuber, Nathalie Meyer, Carmen Sandi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/35044ec9c1d346319326207e4e375cdf
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spelling	oai:doaj.org-article:35044ec9c1d346319326207e4e375cdf2021-12-02T14:41:12ZLocomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges10.1038/s41467-020-19736-32041-1723https://doaj.org/article/35044ec9c1d346319326207e4e375cdf2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19736-3https://doaj.org/toc/2041-1723People differ in their susceptibility to stressors, but it is difficult to know a priori who has a higher vulnerability. Here, the authors show that machine learning algorithms applied to locomotor data from people’s exploration of virtual reality scenarios predicts heart rate variability to stress.João RodriguesErik StuderStephan StreuberNathalie MeyerCarmen SandiNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q João Rodrigues Erik Studer Stephan Streuber Nathalie Meyer Carmen Sandi Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
description	People differ in their susceptibility to stressors, but it is difficult to know a priori who has a higher vulnerability. Here, the authors show that machine learning algorithms applied to locomotor data from people’s exploration of virtual reality scenarios predicts heart rate variability to stress.
format	article
author	João Rodrigues Erik Studer Stephan Streuber Nathalie Meyer Carmen Sandi
author_facet	João Rodrigues Erik Studer Stephan Streuber Nathalie Meyer Carmen Sandi
author_sort	João Rodrigues
title	Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
title_short	Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
title_full	Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
title_fullStr	Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
title_full_unstemmed	Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
title_sort	locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/35044ec9c1d346319326207e4e375cdf
work_keys_str_mv	AT joaorodrigues locomotioninvirtualenvironmentspredictscardiovascularresponsivenesstosubsequentstressfulchallenges AT erikstuder locomotioninvirtualenvironmentspredictscardiovascularresponsivenesstosubsequentstressfulchallenges AT stephanstreuber locomotioninvirtualenvironmentspredictscardiovascularresponsivenesstosubsequentstressfulchallenges AT nathaliemeyer locomotioninvirtualenvironmentspredictscardiovascularresponsivenesstosubsequentstressfulchallenges AT carmensandi locomotioninvirtualenvironmentspredictscardiovascularresponsivenesstosubsequentstressfulchallenges
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Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges

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