ReviewMethodsX2026
The integration of virtual reality and EEG: A step-by-step guideline.
Review in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Electroencephalogram-Based Analysis of Monomodal and Multimodal Interaction in Mixed Reality Games.Sensors (Basel, Switzerland) · 2026Article
- Integrating EEG Sensors with Virtual Reality to Support Students with ADHD.Sensors (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtual Reality (VR) is gaining traction in cognitive and decision-making research because of its ability to generate immersive, controlled environments that closely replicate real-world situations. Its integration with neurophysiological tools such as electroencephalography (EEG) and eye-tracking offers a unique opportunity to gain deep insights into consumer behaviour by combining behavioural and neural measures in real-time. However, the simultaneous use of VR and neurophysiological measures remains challenging due to crucial issues concerning data stream alignment, event timestamping, hardware compatibility, and potential signal interference induced by head-mounted equipment. To date, the absence of standardised protocols has limited the scalability and reproducibility of multimodal VR research, thereby hindering its widespread adoption. This paper presents a detailed, step-by-step guideline for harmonising EEG, eye-tracking, and VR data streams using the Lab Streaming Layer (LSL) in a Unity-based VR environment. A Varjo headset with in-built eye-tracking and a Neuroelectrics Enobio EEG system are used as a working case to illustrate a practical implementation of the guidelines displayed. By outlining clear guidelines for hardware configuration, event timestamping and software implementation, this paper demonstrates how open-source tools can enable high-precision data synchronisation in immersive research setting. The protocol is flexible and transferable to similar setups and therefore supports cross-study comparability and encourages wider uptake of multimodal VR methodologies, while acknowledging methodological constraints.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.