Neuro-XR: Blending Neuroscience and Extended Reality to Facilitate Cognitive Investigation

Neuro-XR refers to the amalgamation of neuroimaging and extended reality (XR) including augmented, mixed and virtual reality. Both sets of technology have developed rapidly and in isolation, and here we show that they have great potential when combined. Mobile neuroimaging technology is becoming increasingly available, offering researchers greater flexibility. Similarly, XR devices are now affordable, lightweight and can be coupled with open-source software for developing experiments. We are now at a time where neuroimaging and XR are paired to investigate new cognitive questions but also to replicate seminal research. Neuro-XR provides cognitive neuroscience and XR-based applications such as medicine, quantitative understanding (through behaviour and neural data) and analysis of real-time interactions/effects. In this review we introduce the term ‘Neuro-XR’ and define the scope of the technique. More generally, we discuss the current research in the field and explore some potential future applications. Finally, we provide suggestions and guidance for practising Neuro-XR based on our combined experience across these modalities.

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Publication Details

Published
2025-08-29
DOI
https://doi.org/10.31234/osf.io/kycxw_v1
Citations
1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.63

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Neuro-XR: Blending Neuroscience and Extended Reality to Facilitate Cognitive Investigation

Clíona L. Kelly, Paola Pinti, Ulrike Senftleben, Samantha Gregory et al.
1 citations
Cell Image Analysis Techniques
1.63
article

Neuro-XR: Blending Neuroscience and Extended Reality to Facilitate Cognitive Investigation

Clíona L. Kelly, Paola Pinti, Ulrike Senftleben, Samantha Gregory, Nicholas Alexander
article en
1 citations

Abstract

Neuro-XR refers to the amalgamation of neuroimaging and extended reality (XR) including augmented, mixed and virtual reality. Both sets of technology have developed rapidly and in isolation, and here we show that they have great potential when combined. Mobile neuroimaging technology is becoming increasingly available, offering researchers greater flexibility. Similarly, XR devices are now affordable, lightweight and can be coupled with open-source software for developing experiments. We are now at a time where neuroimaging and XR are paired to investigate new cognitive questions but also to replicate seminal research. Neuro-XR provides cognitive neuroscience and XR-based applications such as medicine, quantitative understanding (through behaviour and neural data) and analysis of real-time interactions/effects. In this review we introduce the term ‘Neuro-XR’ and define the scope of the technique. More generally, we discuss the current research in the field and explore some potential future applications. Finally, we provide suggestions and guidance for practising Neuro-XR based on our combined experience across these modalities.

Yale University, Wellcome Trust, National Institutes of Health
Openalex Percentile: Top 12%
Cell Image Analysis Techniques
1.63
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