Evidence map›Paper›PMID 35222194›Full record

ArticleFrontiers in psychology2022

Deep-Breathing Biofeedback Trainability in a Virtual-Reality Action Game: A Single-Case Design Study With Police Trainers.

Abele Michela, Jacobien M van Peer, Jan C Brammer, Anique Nies, Marieke M J W van Rooij, Robert Oostenveld, Wendy Dorrestijn, Annika S Smit, Karin Roelofs, Floris Klumpers and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Digital Psychiatry with Virtual Reality and Augmented Reality: Recent Advances and Limitations.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Review
  5. Virtual Reality for Pulmonary Rehabilitation: Comprehensive Review.JMIR rehabilitation and assistive technologies · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Abele MichelaBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Jacobien M van PeerBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Jan C BrammerBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Anique NiesBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Marieke M J W van RooijFaculty of Behavioral, Management and Social Sciences, University of Twente, Twente, Netherlands.
Robert OostenveldDonders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands.
Wendy DorrestijnFaculty of Law, Radboud University, Nijmegen, Netherlands.
Annika S SmitPolice Academy of the Netherlands, Apeldoorn, Netherlands.
Karin RoelofsBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Floris KlumpersBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Isabela GranicBehavioral Science Institute, Radboud University, Nijmegen, Netherlands.
Radboud University Nijmegen · NLKarolinska Institutet · SEPolitieacademie · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is widely recognized that police performance may be hindered by psychophysiological state changes during acute stress. To address the need for awareness and control of these physiological changes, police academies in many countries have implemented Heart-Rate Variability (HRV) biofeedback training. Despite these trainings now being widely delivered in classroom setups, they typically lack the arousing action context needed for successful transfer to the operational field, where officers must apply learned skills, particularly when stress levels rise. The study presented here aimed to address this gap by training physiological control skills in an arousing decision-making context. We developed a Virtual-Reality (VR) breathing-based biofeedback training in which police officers perform deep and slow diaphragmatic breathing in an engaging game-like action context. This VR game consisted of a selective shoot/don't shoot game designed to assess response inhibition, an impaired capacity in high arousal situations. Biofeedback was provided based on adherence to a slow breathing pace: the slower and deeper the breathing, the less constrained peripheral vision became, facilitating accurate responses to the in-game demands. A total of nine male police trainers completed 10 sessions over a 4-week period as part of a single-case experimental ABAB study-design (i.e., alternating sessions with and without biofeedback). Results showed that eight out of nine participants showed improved breathing control in action, with a positive effect on breathing-induced low frequency HRV, while also improving their in-game behavioral performance. Critically, the breathing-based skill learning transferred to subsequent sessions in which biofeedback was not presented. Importantly, all participants remained highly engaged throughout the training. Altogether, our study showed that our VR environment can be used to train breathing regulation in an arousing and active decision-making context.

Indexed as

autonomic arousalbiofeedbackheart rate variabilitypolice educationpolice trainingstress managementvirtual-reality

Identifiers

PMID35222194
PMCPMC8868154
OpenAlexW4211146312

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.