Evidence map›Paper›PMID 36592276›Full record

ArticleCurrent topics in behavioral neurosciences2023

VR for Studying the Neuroscience of Emotional Responses.

Marta Andreatta, Markus H Winkler, Peter Collins, Daniel Gromer, Dominik Gall, Paul Pauli, Matthias Gamer

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Article in Current topics in behavioral neurosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

7 authors.

Marta AndreattaDepartment of Psychology, Educational Sciences, and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands. andreatta@essb.eur.nl.
Markus H WinklerDepartment of Psychology, University of Wuerzburg, Wuerzburg, Germany.
Peter CollinsDepartment of Psychology, University of Wuerzburg, Wuerzburg, Germany.
Daniel GromerDepartment of Psychology, University of Wuerzburg, Wuerzburg, Germany.
Dominik GallDepartment of Psychology, University of Wuerzburg, Wuerzburg, Germany.
Paul PauliDepartment of Psychology, University of Wuerzburg, Wuerzburg, Germany.
Matthias GamerDepartment of Psychology, University of Wuerzburg, Wuerzburg, Germany. matthias.gamer@uni-wuerzburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotions are frequently considered as the driving force of behavior, and psychopathology is often characterized by aberrant emotional responding. Emotional states are reflected on a cognitive-verbal, physiological-humoral, and motor-behavioral level but to date, human research lacks an experimental protocol for a comprehensive and ecologically valid characterization of such emotional states. Virtual reality (VR) might help to overcome this situation by allowing researchers to study mental processes and behavior in highly controlled but reality-like laboratory settings. In this chapter, we first elucidate the role of presence and immersion as requirements for eliciting emotional states in a virtual environment and discuss different VR methods for emotion induction. We then consider the organization of emotional states on a valence continuum (i.e., from negative to positive) and on this basis discuss the use of VR to study threat processing and avoidance as well as reward processing and approach behavior. Although the potential of VR has not been fully realized in laboratory and clinical settings yet, this technological tool can open up new avenues to better understand the neurobiological mechanisms of emotional responding in healthy and pathological conditions.

Indexed as

NeurosciencesVirtual RealityCognitionEmotionsHumansNeurobiologyApproachAvoidanceEmotionsPresenceVirtual reality

Identifiers

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Registered trials

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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.