Evidence map›Paper›PMID 41257917›Full record

ArticleScientific reports2025

Investigation of flow state occurrence during robotic virtual reality operations.

Uwe Bieri, Melanie Baumgartner, Anne-Raphaëlle Richoz, Daniel Eberli, Cao Tri Do, Cédric Poyet

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Uwe Bieri *Department of Surgery, Division of Urology, Cantonal Hospital Baden, Baden, Switzerland.
Melanie Baumgartner *Department of Urology , University Hospital of Zurich, University of Zurich, Zurich, Switzerland.
Anne-Raphaëlle RichozDepartment of Urology , University Hospital of Zurich, University of Zurich, Zurich, Switzerland.
Daniel EberliDepartment of Surgery, Division of Urology, Cantonal Hospital Baden, Baden, Switzerland.
Cao Tri DoTranslational Neuromodeling Unit, Institute of Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Cédric PoyetDepartment of Surgery, Division of Urology, Cantonal Hospital Baden, Baden, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow is the optimal mental state for peak focus and performance, positively correlating with well-being. This study investigated electroencephalographical (EEG) and circulatory heart rate (HR) markers of flow during virtual reality (VR) surgical training on the da Vinci Skills Simulator. Twenty urologic surgeons participated, categorised as High or Low Performers based on VR task scores. Generalised estimating equations and Spearman’s rank correlation were used to analyse differences in EEG, HR, Flow Short Scale scores, and professional experience. High performers exhibited significantly higher Theta activity Wald(1) = 5.96, p = .015; Wald(1) = 5.11, p < .001) and a positive correlation between VR scores and flow r(10) = 0.63, p = .048). No significant HR differences were observed. The study highlights the importance of Theta activity in achieving flow, suggesting that neurofeedback and biofeedback could provide a point of departure to enhance surgical performance and well-being of surgeons and patient health.

Indexed as

Robotic Surgical ProceduresVirtual RealityAdultElectroencephalographyFemaleHeart RateHumansMaleSurgeonsBiofeedbackDaVinci skills simulatorEEGFlow stateHeart rateNeurofeedbackPerformanceSurgeonsTheta activity

Identifiers

PMID41257917
PMCPMC12630671

What OpenQuestion holds

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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.