The effect of combining action observation in virtual reality with kinesthetic motor imagery on cortical activity

Lakshminarayanan, Kishor, Shah, Rakshit, Daulat, Sohail R., Moodley, Viashen, Yao, Yifei and Madathil, Deepa (2023) The effect of combining action observation in virtual reality with kinesthetic motor imagery on cortical activity. Frontiers in Neuroscience, 17: 1201865. pp. 1-10. ISSN 1662-4548

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In the past, various techniques have been used to improve motor imagery (MI), such as immersive virtual-reality (VR) and kinesthetic rehearsal. While electroencephalography (EEG) has been used to study the differences in brain activity between VR-based action observation and kinesthetic motor imagery (KMI), there has been no investigation into their combined effect. Prior research has demonstrated that VR-based action observation can enhance MI by providing both visual information and embodiment, which is the perception of oneself as part of the observed entity. Additionally, KMI has been found to produce similar brain activity to physically performing a task. Therefore, we hypothesized that utilizing VR to offer an immersive visual scenario for action observation while participants performed kinesthetic motor imagery would significantly improve cortical activity related to MI. Methods: In this study, 15 participants (9 male, 6 female) performed kinesthetic motor imagery of three hand tasks (drinking, wrist flexion-extension, and grabbing) both with and without VR-based action observation. Results: Our results indicate that combining VR-based action observation with KMI enhances brain rhythmic patterns and provides better task differentiation compared to KMI without action observation. Discussion: These findings suggest that using VR-based action observation alongside kinesthetic motor imagery can improve motor imagery performance.

Item Type: Article
Keywords: Brain Computer Interface | Electroencephalography | Event-Related Desynchronization | Kinesthetic Motor Imagery | Machine Learning | Virtual Reality
Subjects: Physical, Life and Health Sciences > Engineering and Technology
JGU School/Centre: Jindal Institute of Behavioural Sciences
Depositing User: Amees Mohammad
Date Deposited: 17 Jul 2023 05:45
Last Modified: 17 Jul 2023 05:45
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