Abstract

Prism Adaptation (PA) is used to alleviate spatial neglect. We combined immersive virtual reality with a depth-sensing camera to develop virtual prism adaptation therapy (VPAT), which block external visual cues and easily quantify and monitor errors than conventional PA. We conducted a feasibility study to investigate whether VPAT can induce behavioral adaptations by measuring after-effect and identifying which cortical areas were most significantly activated during VPAT using functional near-infrared spectroscopy (fNIRS). Fourteen healthy subjects participated in this study. The experiment consisted of four sequential phases (pre-VPAT, VPAT-10°, VPAT-20°, and post-VPAT). To compare the most significantly activated cortical areas during pointing in different phases against pointing during the pre-VPAT phase, we analyzed changes in oxyhemoglobin concentration using fNIRS during pointing. The pointing errors of the virtual hand deviated to the right-side during early pointing blocks in the VPAT-10° and VPAT-20° phases. There was a left-side deviation of the real hand to the target in the post-VPAT phase, demonstrating after-effect. The most significantly activated channels during pointing tasks were located in the right hemisphere, and possible corresponding cortical areas included the dorsolateral prefrontal cortex and frontal eye field. In conclusion, VPAT may induce behavioral adaptation with modulation of the dorsal attentional network.

Details

Title
Feasibility study of immersive virtual prism adaptation therapy with depth-sensing camera using functional near-infrared spectroscopy in healthy adults
Author
Cho Sungmin 1 ; Chang, Won Kee 1 ; Park, Jihong 1 ; Lee, Seung Hyun 2 ; Lee, Jongseung 1 ; Han, Cheol E 3 ; Nam-Jong, Paik 1 ; Won-Seok, Kim 1 

 Seoul National University Bundang Hospital, Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seongnam, Republic of Korea (GRID:grid.412480.b) (ISNI:0000 0004 0647 3378) 
 Korea University, Global Health Technology Research Center, College of Health Science, Seoul, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678) 
 Korea University, Department of Electronics and Information Engineering, Sejong, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678); Korea University, Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Sejong, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2619610568
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.