VR and Adaptive Technology for Mild Cognitive Impairment

Not yet recruiting at 2 trial locations
CB
MC
XL
Overseen ByXin Lin, PhD
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Weill Medical College of Cornell University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial explores how virtual reality (VR) and smart technology can assist older adults with mild cognitive challenges. Researchers aim to determine if these tools can enhance mental sharpness, social connections, and daily living tasks. The trial includes several components: a VR program for social, activity, and cognitive engagement; adaptive software for personalized support; and digital assistants for managing health tasks. Ideal participants are older adults who have noticed some memory issues but have not been diagnosed with dementia. As an unphased trial, this study provides a unique opportunity for participants to explore innovative technologies that could improve their quality of life.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It is best to discuss this with the trial coordinators or your doctor.

What prior data suggests that these technologies are safe for older adults with mild cognitive impairment?

Research has shown that virtual reality (VR) programs can be safe and helpful for older adults with mild cognitive impairment (MCI). Studies indicate that VR can boost memory and attention and assist with brain functions like problem-solving. It is generally well-tolerated, with few side effects reported. Some people might feel dizzy or a bit disoriented after using VR, but these effects are usually mild and temporary.

For the Intelligent Adaptive System, research on similar technologies for older adults with MCI suggests they can be safe and beneficial. These systems use smart technology to adjust to a person's needs, and studies have not found significant safety issues. However, since these systems are relatively new, monitoring for any unexpected problems is important.

Lastly, the Intelligent Decision Support Tool, which uses artificial intelligence, has shown promise in other studies. It helps ensure decisions related to cognitive health are both accurate and safe. While still being tested, it hasn't shown major safety concerns so far.

Overall, these technologies are designed to be safe and easy to use for older adults. However, as with any new technology, reporting any issues or discomfort to the study team is important.12345

Why are researchers excited about this trial?

Researchers are excited about the innovative use of VR and adaptive technology for treating mild cognitive impairment because these approaches offer a fresh take on engagement and decision support. Unlike traditional methods that might focus solely on medications or cognitive exercises, these treatments utilize virtual reality for immersive social and cognitive activities, making the experience more engaging and interactive. Moreover, the intelligent adaptive system and decision support tools are designed to tailor the experience to individual needs, potentially enhancing effectiveness by addressing personal preferences and challenges in real-time. This personalized and technologically advanced approach could offer more dynamic and responsive support for cognitive health compared to existing options.

What evidence suggests that this trial's treatments could be effective for mild cognitive impairment?

Research has shown that virtual reality (VR) programs can significantly enhance thinking skills in older adults with mild memory problems. In this trial, participants in the VR Program arm will use VR to boost overall brain function, proving as effective as traditional methods. Reviews suggest that technology-based programs, like the Intelligent Adaptive System tested in another arm of this trial, can improve thinking and self-confidence in individuals with mild memory issues by adapting to each person's needs and providing personalized support. Additionally, the Intelligent Decision Support Tool, part of a separate arm in this trial, uses artificial intelligence to assist older adults in managing their health decisions. Some studies have indicated that these tools effectively predict and track changes in thinking skills.26789

Who Is on the Research Team?

SJ

Sara J Czaja, PhD

Principal Investigator

Weill Medical College of Cornell University

Are You a Good Fit for This Trial?

This trial is for older adults, aged 60 and above, who have been clinically diagnosed with mild cognitive impairment (MCI). Participants should be able to read English at a 6th-grade level or higher, have correctable vision of at least 20/60, and score between 18-26 on the MoCA test. It's not suitable for those outside this age range or cognitive ability.

Inclusion Criteria

I am over 60, can read English well, have decent vision with glasses if needed, and my cognitive test score is 23 or lower.
I am 65 or older, can read English at a 6th grade level, and have at least 20/60 vision with glasses or contacts.
I am 62 or older, can read English, have decent vision, mild memory issues without major daily activity impairments, not severely depressed, and no dementia.

Exclusion Criteria

Project 2: Cognitive impairment (MoCA ≤ 25)
I am visually or hearing impaired, have a terminal illness, or severe motor impairment.
I have chronic neck pain or an injury that could make wearing a headset uncomfortable.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Usability Testing and Development

Usability testing across the three CREATE sites with older adults, and heuristic analysis to gather information on user preferences, usability problems, implementation, and training protocols.

2-3 hours per session
1 session (in-person)

Pilot Randomized Trial

Participants will be randomized to the VR CAST condition or a tablet control condition, using the VR program/tablet in their home for two months.

2 months

Follow-up

Participants are monitored for safety and effectiveness after treatment

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

  • Project 1, Phase 2: VR Program for Social, Activity, and Cognitive Engagement
  • Project 2, Phase 2: Intelligent Adaptive System
  • Project 3, Phase 3: Intelligent Decision Support Tool
Trial Overview CREATE V includes three projects: A VR program (CAST) for mental and social stimulation; an intelligent adaptive system that adjusts to users' cognitive levels; and a digital assistant tool designed to help manage healthcare tasks. These interventions aim to support cognition in aging individuals with MCI.
How Is the Trial Designed?
9Treatment groups
Experimental Treatment
Active Control
Group I: Project 3 - Phase 3: DATA ConditionExperimental Treatment1 Intervention
Group II: Project 2 - Phase 2: Active Intervention GroupExperimental Treatment1 Intervention
Group III: Project 1 - Phase 2: VR ProgramExperimental Treatment1 Intervention
Group IV: Project 2 - Phase 2: Waitlist ControlActive Control1 Intervention
Group V: Project 3 - Phase 2: Development of Digital Assistant ToolsActive Control1 Intervention
Group VI: Project 1 - Phase 1: Development/Refinement of VR program; Usability Testing/Development of TrainingActive Control1 Intervention
Group VII: Project 3 - Phase 3: Usual-Tool Control ConditionActive Control1 Intervention
Group VIII: Project 3 - Phase 1: Problem Space Specification and Task SelectionActive Control1 Intervention
Group IX: Project 1 - Phase 2: Tablet Control ConditionActive Control1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Weill Medical College of Cornell University

Lead Sponsor

Trials
1,103
Recruited
1,157,000+

National Institute on Aging (NIA)

Collaborator

Trials
1,841
Recruited
28,150,000+

Published Research Related to This Trial

Home-based virtual reality (VR) exercise is safe and feasible for individuals with mild cognitive impairment, with participants completing 99% of the prescribed sessions over 6 weeks without major adverse events.
While most participants enjoyed the VR program and reported physical benefits, no significant changes were observed in physical or cognitive outcomes after the 6-week intervention.
The Use of Home-Based Nonimmersive Virtual Reality to Encourage Physical and Cognitive Exercise in People With Mild Cognitive Impairment: A Feasibility Study.Sheehy, L., Sveistrup, H., Knoefel, F., et al.[2022]
Virtual reality (VR) tools can significantly enhance cognitive rehabilitation for individuals with mild cognitive impairment (MCI) and early-stage Alzheimer's disease, addressing the growing need for effective support services for the elderly population.
The immersive and interactive nature of VR technology offers unique advantages in improving daily life activities for those affected by cognitive impairments, suggesting a promising avenue for healthcare and caregiver assistance.
Using virtual reality for cognitive training of the elderly.García-Betances, RI., Jiménez-Mixco, V., Arredondo, MT., et al.[2022]
The study developed a digital neurorehabilitation platform called NeuroVRehab.PT, designed specifically for patients with mild cognitive impairment (MCI), using realistic virtual environments based on a supermarket setting.
Feedback from health professionals indicated that NeuroVRehab.PT is clinically applicable and ecologically valid, suggesting it could effectively support MCI patients in improving their instrumental activities of daily living (IADL).
Photo-Realistic Interactive Virtual Environments for Neurorehabilitation in Mild Cognitive Impairment (NeuroVRehab.PT): A Participatory Design and Proof-of-Concept Study.Ferreira-Brito, F., Alves, S., Santos, O., et al.[2020]

Citations

Effectiveness of technology-based interventions in ...This systematic review protocol is aimed at evaluating the effectiveness of technology-based interventions in the detection, prevention, monitoring and ...
Predicting cognitive scores from wearable-based digital ...The objective of this study was to evaluate the predictive ability of digital physiological features, based on sensor data from wrist-worn wearables,
Review Cognitive intervention for persons with mild ...The results show that persons with MCI get improvements both in overall cognition and self-ratings, and also exhibit positive training effects in follow-up ...
Current Advances in Computerized Cognitive Assessment ...For MCI subtypes versus AD, machine learning achieved 80–90% accuracy with the dCDT [38]. SAGE outperformed MMSE in detecting subtle changes in ...
Examining Technology Perspectives of Older Adults With Mild ...Mild cognitive impairment (MCI) affects a person's memory or how they think, feel, or behave. It is not a normal part of aging, but up to 20% of ...
Examining Technology Perspectives of Older Adults With ...Mild cognitive impairment (MCI) affects up to 20% of people older than the age of 65 years. The global incidence of MCI is increasing, and ...
AI-Based Classification of Mild Cognitive Impairment and ...Our study aims to develop an ensemble machine learning (ML) model to accurately classify Cognitively Normal (CN) vs. Mild Cognitive Impairment ( ...
Smart Home‐Based Complex Interwoven Activities for ...Our proposed work uses machine and deep learning classifiers to classify dementia and healthy individuals by analyzing complex interwoven activity data.
Managing Cognitive Decline Through a Social Robot ...Finally, the paper discusses in depth the ethical issues concerning the adoption of social robots, machine learning (ML) algorithms, and health ...
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