Identifying Neural Correlates of Motor Learning in a Naturalistic VR-Based Motor Task

Alexanne Grandpré (), Félix Giroux (), Camille Lasbareilles, Jared Boasen (), Alexander Aumais, Adrien Lesage, François Courtemanche, Charlotte Stagg, Sylvain Sénécal () and Pierre-Majorique Léger ()
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Alexanne Grandpré: HEC Montréal
Félix Giroux: HEC Montréal
Camille Lasbareilles: University of Oxford
Jared Boasen: HEC Montréal
Alexander Aumais: HEC Montréal
Adrien Lesage: HEC Montréal
François Courtemanche: HEC Montréal
Charlotte Stagg: University of Oxford
Sylvain Sénécal: HEC Montréal
Pierre-Majorique Léger: HEC Montréal

A chapter in Information Systems and Neuroscience, 2025, pp 179-185 from Springer

Abstract: Abstract Rehabilitation therapists increasingly utilize virtual reality (VR) to enhance exercise engagement and customization. However, the lack of realistic sensory feedback from traditional VR controllers may impede motor learning. This study aims at assessing the effect of a VR controller adapter on electroencephalography (EEG) neural correlates of motor learning in VR settings. We will collect the data of 30 healthy participants performing virtual pool billiard shots. The results of this study will guide the development of more effective naturalistic VR-based motor tasks in rehabilitation.

Keywords: Motor learning; Neural correlates; Electroencephalography; Naturalistic motor task; Passive haptic feedback; Virtual reality; Physical rehabilitation; Digital rehabilitation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-71385-9_14

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