ArticleNature communications2020
Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- A systematic scoping review identifying effective virtual reality stress tasks inducing physiological reactivity for future wearables validation.Behavior research methods · 2026Review
- Virtual reality environmental enrichment effects on heart rate variability in healthy volunteers.Psychopharmacology · 2026Article
- Reactivity of the Autonomic Nervous System During Visual-Physical Incongruent Walking Conditions-A Virtual Reality Study.Psychophysiology · 2025Article
- From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases.BioData mining · 2024Article
- Article
- Synchronous monitoring of brain-heart electrophysiology using heart rate variability coupled with rapid quantitative electroencephalography in orthostatic hypotension patients with α-synucleinopathies: Rapid prediction of orthostatic hypotension and preliminary exploration of brain stimulation therapy.CNS neuroscience & therapeutics · 2024Article
- The effects of virtual reality environmental enrichments on craving to food in healthy volunteers.Psychopharmacology · 2024Article
- The connection between heart rate variability (HRV), neurological health, and cognition: A literature review.Frontiers in neuroscience · 2023Review
- Naturalizing psychopathology-towards a quantitative real-world psychiatry.Molecular psychiatry · 2022Article
- Cross-species anxiety tests in psychiatry: pitfalls and promises.Molecular psychiatry · 2022Review
- IMVEST, an immersive multimodal virtual environment stress test for humans that adjusts challenge to individual's performance.Neurobiology of stress · 2021Article
- Virtual Reality Expands the Toolkit for Conducting Health Psychology Research.Social and personality psychology compass · 2021Article
- Decoding anxiety: A scoping review of observable cues.Digital healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individuals differ in their physiological responsiveness to stressful challenges, and stress potentiates the development of many diseases. Heart rate variability (HRV), a measure of cardiac vagal break, is emerging as a strong index of physiological stress vulnerability. Thus, it is important to develop tools that identify predictive markers of individual differences in HRV responsiveness without exposing subjects to high stress. Here, using machine learning approaches, we show the strong predictive power of high-dimensional locomotor responses during novelty exploration to predict HRV responsiveness during stress exposure. Locomotor responses are collected in two ecologically valid virtual reality scenarios inspired by the animal literature and stress is elicited and measured in a third threatening virtual scenario. Our model's predictions generalize to other stressful challenges and outperforms other stress prediction instruments, such as anxiety questionnaires. Our study paves the way for the development of behavioral digital phenotyping tools for early detection of stress-vulnerable individuals.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.