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Enhancing motor imagery in the third‐person perspective by manipulating sense of body ownership with virtual reality.

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Title: Enhancing motor imagery in the third‐person perspective by manipulating sense of body ownership with virtual reality.
Authors: Xu, Xiaotian (AUTHOR), Fan, Xiaoya (AUTHOR), Dong, Jiaoyang (AUTHOR), Zhang, Xiting (AUTHOR), Song, Zhe (AUTHOR), Bai, Dingqun (AUTHOR), Pu, Fang (AUTHOR)
Source: European Journal of Neuroscience. Oct2024, Vol. 60 Issue 7, p5750-5763. 14p.
Subjects: Motor imagery (Cognition), Somatic sensation, Virtual reality, Visual training, Electroencephalography
Abstract: Virtual reality (VR)–guided motor imagery (MI) is a widely used approach for motor rehabilitation, especially for patients with severe motor impairments. Most approaches provide visual guidance from the first‐person perspective (1PP). MI training with visual guidance from the third‐person perspective (3PP) remains largely unexplored. We argue that 3PP MI training has its own advantages and can supplement 1PP MI. For some movements beyond the view of 1PP, such as shoulder shrugging and other axial movements, MI are suitable performed under 3PP. However, the efficiency of existing paradigms for 3PP MI is unsatisfactory. We speculate that the absence of sense of body ownership (SOO) from 3PP could be one possible factor and hypothesize that 3PP MI could be enhanced by eliciting SOO over a 3PP avatar. Based on our hypothesis, a novel paradigm was proposed to enhance 3PP MI by inducing full‐body illusion (FBI) from 3PP, which is similar to the so‐called out‐of‐body experience (OBE), using synchronous visuo‐tactile stimulus with VR. The event‐related Electroencephalograph (EEG) desynchronization (ERD) at motor‐related regions from 31 healthy participants were calculated and compared with a control paradigm without "OBE" FBI induction. This study attempts to enhance 3PP MI with FBI induction. It offers an opportunity to perform MI guided by action observation from 3PP with elicited SOO to the observed avatar. We believe that 3PP MI could provide more possibilities for effective rehabilitation training, when SOO could be elicited to a virtual avatar and the present work demonstrates its viability and effectiveness. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Enhancing motor imagery in the third‐person perspective by manipulating sense of body ownership with virtual reality.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Xiaotian%22">Xu, Xiaotian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Xiaoya%22">Fan, Xiaoya</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Jiaoyang%22">Dong, Jiaoyang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiting%22">Zhang, Xiting</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Zhe%22">Song, Zhe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bai%2C+Dingqun%22">Bai, Dingqun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pu%2C+Fang%22">Pu, Fang</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Oct2024, Vol. 60 Issue 7, p5750-5763. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Motor+imagery+%28Cognition%29%22">Motor imagery (Cognition)</searchLink><br /><searchLink fieldCode="DE" term="%22Somatic+sensation%22">Somatic sensation</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+training%22">Visual training</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink>
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  Data: Virtual reality (VR)–guided motor imagery (MI) is a widely used approach for motor rehabilitation, especially for patients with severe motor impairments. Most approaches provide visual guidance from the first‐person perspective (1PP). MI training with visual guidance from the third‐person perspective (3PP) remains largely unexplored. We argue that 3PP MI training has its own advantages and can supplement 1PP MI. For some movements beyond the view of 1PP, such as shoulder shrugging and other axial movements, MI are suitable performed under 3PP. However, the efficiency of existing paradigms for 3PP MI is unsatisfactory. We speculate that the absence of sense of body ownership (SOO) from 3PP could be one possible factor and hypothesize that 3PP MI could be enhanced by eliciting SOO over a 3PP avatar. Based on our hypothesis, a novel paradigm was proposed to enhance 3PP MI by inducing full‐body illusion (FBI) from 3PP, which is similar to the so‐called out‐of‐body experience (OBE), using synchronous visuo‐tactile stimulus with VR. The event‐related Electroencephalograph (EEG) desynchronization (ERD) at motor‐related regions from 31 healthy participants were calculated and compared with a control paradigm without "OBE" FBI induction. This study attempts to enhance 3PP MI with FBI induction. It offers an opportunity to perform MI guided by action observation from 3PP with elicited SOO to the observed avatar. We believe that 3PP MI could provide more possibilities for effective rehabilitation training, when SOO could be elicited to a virtual avatar and the present work demonstrates its viability and effectiveness. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Oct2024
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              Y: 2024
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