An open-access neuroimaging-compatible virtual town task for assessing human spatial navigation

Spatial navigation is a cognitive skill that draws on multiple processes such as learning, decision-making and memory, which are often updated on a second-by-second timescale. However, many existing virtual paradigms designed to assay spatial navigation cannot target these processes as they unfold or are not designed for integration with concurrent neurophysiological recording. Here, we present and demonstrate our open-access task for neuroimaging: NAturalistic Virtual Assessment of Navigation (NAVAN) combining high-resolution behavioural tracking and integration with electroencephalography. We report data from this task, in which fifty-three participants completed a wayfinding navigation paradigm across twenty-four trials. Navigational efficiency improved significantly following repeated exposure to the environment, although efficiency declined across trials within each block. Self-reported spatial ability (assessed by the Santa Barbara Sense of Direction) predicted performance during early environmental exposure, suggesting concurrent validity. We demonstrated the feasibility of recording electroencephalography during the task, with in-game events streamed and aligned to the neural recording. The task provides researchers with access to detailed behavioural measures and can be adapted by modifying features such as trial number and difficulty. We also provide a step-by-step implementation guide to support reuse and customisation across experimental settings.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-05
DOI
https://doi.org/10.64898/2026.11.04.763058
Primary Topic
Spatial Cognition and Navigation
Type
preprint
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preprint

An open-access neuroimaging-compatible virtual town task for assessing human spatial navigation

Conor Thornberry, Declan Quinn, Robert Whelan, Alejandro López Valdés et al.
bioRxiv (Cold Spring Harbor Laboratory)
Spatial Cognition and Navigation
preprint

An open-access neuroimaging-compatible virtual town task for assessing human spatial navigation

Conor Thornberry, Declan Quinn, Robert Whelan, Alejandro López Valdés, Tomas Ward, Lili Zhang, Andrew Walsh, Lisa Sutton, Steven Lieu, Rhoda Osagie, James K. Bradshaw Bernacchi
preprint en

Abstract

Spatial navigation is a cognitive skill that draws on multiple processes such as learning, decision-making and memory, which are often updated on a second-by-second timescale. However, many existing virtual paradigms designed to assay spatial navigation cannot target these processes as they unfold or are not designed for integration with concurrent neurophysiological recording. Here, we present and demonstrate our open-access task for neuroimaging: NAturalistic Virtual Assessment of Navigation (NAVAN) combining high-resolution behavioural tracking and integration with electroencephalography. We report data from this task, in which fifty-three participants completed a wayfinding navigation paradigm across twenty-four trials. Navigational efficiency improved significantly following repeated exposure to the environment, although efficiency declined across trials within each block. Self-reported spatial ability (assessed by the Santa Barbara Sense of Direction) predicted performance during early environmental exposure, suggesting concurrent validity. We demonstrated the feasibility of recording electroencephalography during the task, with in-game events streamed and aligned to the neural recording. The task provides researchers with access to detailed behavioural measures and can be adapted by modifying features such as trial number and difficulty. We also provide a step-by-step implementation guide to support reuse and customisation across experimental settings.

bioRxiv (Cold Spring Harbor Laboratory)
Trinity College (CA), Trinity College Dublin (IE), Dublin City University (IE)
Spatial Cognition and Navigation
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