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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Bibliographic Details
Main Authors: João Rodrigues, Erik Studer, Stephan Streuber, Nathalie Meyer, Carmen Sandi
Format: Article
Language:English
Published: Nature Portfolio 2020-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19736-3