Effects of Adding Force Control to a VR Game on Brain Activation

NCT06412887 | Completed

• 1 other identifier: 112-181
• Study Type: interventional
• Target: 24
• Locations: 1 country
• Sites: 1

Brief Summary

One of the major contributor for the lower quality of living in the aged population, is the reduction in hand function. To mitigate this, several virtual-reality based hand rehabilitation/training systems have been developed. However, most of these systems are solely controlled by hand gestures, and do not incorporate the force between the fingertips. Which is not the case for grabbing things in real life. With that in mind, the researchers assumed that a virtual-reality based hand rehabilitation/training system that incorporates force control into its input can be more beneficial in terms of recovering one's hand function. To test out this claim, subjects were recruited and tasked to play a game using both input systems (wfc and wofc), while their brain activity while using both input system was simultaneously recorded using functional near infrared spectroscopy and compared

Conditions

Healthy Aging

Keywords

Virtual Reality; functional near infrared spectroscopy

Outcome Measures

Primary Outcomes (3)

• Oxygenated hemoglobin (HbO)

  The Oxygenated hemoglobin (HbO) was measured while the participants play the game under both conditions

  1 hour

• Game performance1 (Amount of grasp initiated)

  This unitless metric counts the number of times the subject initiates a grasp while playing the game, a higher amount of grasp initiated signifies worst performance

  1 hour

• Game performance2 (Memory task accuracy)

  This percentage is calculated by dividing the amount of correct response by the total amount of response. A larger perrcentage represents better performance

  1 hour

Secondary Outcomes (3)

• Manual dexterity

  5 minutes

• Maximum voluntary pinch force

  5 minutes

• Recall

  5 minutes

Study Arms (2)

with force control (wfc)

ACTIVE COMPARATOR

Users play the game using the conventional virtual reality input system with force control

Device: Virtual reality headset

without force control (wofc)

EXPERIMENTAL

Users play the game using the conventional virtual reality input system

Device: Virtual reality headset

Interventions

Virtual reality headset DEVICE

Meta-Quest 2 virtual reality headset was used in this study

with force control (wfc); without force control (wofc)

Eligibility Criteria

• Age: 20 Years - 90 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• With normal vision or wearing prescription glass that can fit inside the Meta Quest 2 VR headset.
• Able to understand English, Chinese, or Taiwanese language.

You may not qualify if:

• Experiencing motion sickness after prolonged usage of VR headsets
• Having chronic diseases or injuries that can prevent them from participating in the experiment such as: hand injuries, missing fingers, blindness, deafness, hearing impairments, etc.

Sponsors & Collaborators

• National Cheng-Kung University Hospital: lead

Study Sites (1)

National Cheng Kung University

Tainan, 701, Taiwan

Location

Related Publications (14)

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  PMID: 26483538 BACKGROUND

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  PMID: 24878351 BACKGROUND

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  PMID: 15558375 BACKGROUND

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  PMID: 15990417 BACKGROUND

• Magni NE, McNair PJ, Rice DA. Impairments in grip and pinch force accuracy and steadiness in people with osteoarthritis of the hand: A case-control comparison. Musculoskelet Sci Pract. 2021 Oct;55:102432. doi: 10.1016/j.msksp.2021.102432. Epub 2021 Jul 22.

  PMID: 34333399 BACKGROUND

• Strote C, Golz C, Stroehlein JK, Haase FK, Koester D, Reinsberger C, Vieluf S. Effects of force level and task difficulty on force control performance in elderly people. Exp Brain Res. 2020 Oct;238(10):2179-2188. doi: 10.1007/s00221-020-05864-1. Epub 2020 Jul 13.

  PMID: 32661649 BACKGROUND

• Howard, M. C. (2017). A meta-analysis and systematic literature review of virtual reality rehabilitation programs. Computers in Human Behavior, 70, 317-327. https://doi.org/10.1016/j.chb.2017.01.013

  BACKGROUND

• Pereira, M. F., Prahm, C., Kolbenschlag, J., Oliveira, E., & Rodrigues, N. F. (2020). A Virtual Reality Serious Game for Hand Rehabilitation Therapy. 2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH), 1-7. https://doi.org/10.1109/SeGAH49190.2020.9201789

  BACKGROUND

• Vanbellingen T, Filius SJ, Nyffeler T, van Wegen EEH. Usability of Videogame-Based Dexterity Training in the Early Rehabilitation Phase of Stroke Patients: A Pilot Study. Front Neurol. 2017 Dec 8;8:654. doi: 10.3389/fneur.2017.00654. eCollection 2017.

  PMID: 29276499 BACKGROUND

• Friedman N, Chan V, Reinkensmeyer AN, Beroukhim A, Zambrano GJ, Bachman M, Reinkensmeyer DJ. Retraining and assessing hand movement after stroke using the MusicGlove: comparison with conventional hand therapy and isometric grip training. J Neuroeng Rehabil. 2014 Apr 30;11:76. doi: 10.1186/1743-0003-11-76.

  PMID: 24885076 BACKGROUND

• Bae SJ, Jang SH, Seo JP, Chang PH. The Optimal Speed for Cortical Activation of Passive Wrist Movements Performed by a Rehabilitation Robot: A Functional NIRS Study. Front Hum Neurosci. 2017 Apr 20;11:194. doi: 10.3389/fnhum.2017.00194. eCollection 2017.

  PMID: 28473763 BACKGROUND

• Zheng J, Ma Q, He W, Huang Y, Shi P, Li S, Yu H. Cognitive and motor cortex activation during robot-assisted multi-sensory interactive motor rehabilitation training: An fNIRS based pilot study. Front Hum Neurosci. 2023 Feb 9;17:1089276. doi: 10.3389/fnhum.2023.1089276. eCollection 2023.

  PMID: 36845877 BACKGROUND

• Xia W, Dai R, Xu X, Huai B, Bai Z, Zhang J, Jin M, Niu W. Cortical mapping of active and passive upper limb training in stroke patients and healthy people: A functional near-infrared spectroscopy study. Brain Res. 2022 Aug 1;1788:147935. doi: 10.1016/j.brainres.2022.147935. Epub 2022 Apr 29.

  PMID: 35500604 BACKGROUND

• Hummel, J., Dodiya, J., Wolff, R., Gerndt, A., & Kuhlen, T. (2013). An evaluation of two simple methods for representing heaviness in immersive virtual environments. 2013 IEEE Symposium on 3D User Interfaces (3DUI), 87-94. https://doi.org/10.1109/3DUI.2013.6550202

  BACKGROUND

Study Officials

• Fong-Chin Su, PhD

  Chair Professor

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Masking Details: The subjects were informed regarding which input system was to be used
• Purpose: PREVENTION
• Intervention Model: CROSSOVER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Chair Professor

Model Details: Subjects play the virtual reality game using the wfc input system followed by the wofc input system

Study Record Dates

• First Submitted: April 25, 2024
• First Posted: May 14, 2024
• Study Start: July 10, 2023
• Primary Completion: August 11, 2023
• Study Completion: August 11, 2023
• Last Updated: May 14, 2024

Record last verified: 2024-05

Locations

TW (1)