Cognitive/Physical Computer-Game Blended Training With Personalized Brain Network Activation Technology for the Elderly
AlterniityAR
Study to Evaluate the Effectiveness of Personalized Brain Network Activation Technology in a Cognitive/Physical Computer-Game Blended Training of Elderly (Alterniity AR)
1 other identifier
interventional
607
0 countries
N/A
Brief Summary
The study involves a novel Virtual Reality Interface that offers full-body immersion "Alterniity AR" and more specifically computer exercises blended with game activities. It was hypothesized that "Alterniity AR" facilitated, game blended cognitive and/or physical exercise improves global cognition when compared to control groups; moreover, these improvements may be manifested by brain activity changes. The investigators explore here the impact of potential moderators on combined exercise-induced cognitive benefits, as well as, individual/separate training schemes. In addition, the proposed study will provide Alterniity AR" in a closed feedback loop with a direct, reliable, and non-invasive method for assessing changes in brain activity associated with elderly in risk of dementia. The paradigm for the current study will combine neurophysiological knowledge with mathematical signal processing and pattern recognition methods to temporally and spatially map brain function, connectivity and synchronization.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Feb 2015
Longer than P75 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2015
CompletedFirst Submitted
Initial submission to the registry
March 26, 2015
CompletedFirst Posted
Study publicly available on registry
April 15, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2018
CompletedFebruary 8, 2022
February 1, 2022
3.6 years
March 26, 2015
February 7, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Change in Diagnostic Area Under the Receiver Operating Characteristic Curve (ROC-AUC)
The Digital Neuro Signatures (DNS) score will be tested in this prospective cohort. Sensitivity, specificity and accuracy of the DNS score will be tested for detecting intervention responses for both the placebo and the study groups and will be compared to the intervention responses measured by the neuropsychological test battery.
baseline to 40 months
Secondary Outcomes (10)
Physical Fitness
2 months / 6+2 months / 12+2 months
Episodic memory
2 months / 6+2 months / 12+2 months
Working Memory
2 months / 6+2 months / 12+2 months
Executive Function
2 months / 6+2 months / 12+2 months
World Health Organization Quality of Life (WHOQoL)
2 months / 6+2 months / 12+2 months
- +5 more secondary outcomes
Study Arms (3)
Alterniity Augmented Reality (AAR)
EXPERIMENTALAAR training Participants use the patent pending AAR exercise and gaming (exergaming) platform that combines a physical training component (PTC) and a cognitive training component (CTC) in closed-feedback loop with Personalized Brain Network Activity (PBNA) test from a portable EEG.
Passive Control Participants
NO INTERVENTIONPassive Control Participants do not receive an intervention serving as passive controls
Active
ACTIVE COMPARATORActive Control Participants receive an alternative cognitive training scheme; software was built on purpose by the Aristotle University of Thessaloniki. The software is called VideoGrade and uses videos from Youtube (YouTube) documentaries (VideoGrade).
Interventions
AAR is a patent pending exercise and gaming (exergaming) computer platform with a physical training component (PTC) and a cognitive training component (CTC). It fully immerses a user inside a virtual environment where he is practising complex everyday activities, such as going shopping, using the transportation, visiting a foreign city, eating at a restaurant, cooking dinner etc. His motor behaviour is monitored by means of motion capture, while immersed at this full-body immersion. In addition his cognition is monitored in real-time with Personalized Brain Network Activity (PBNA) screening. Both the motor and brain analyses are then used to update the configuration, type and difficulty of the AAR scenarios.
Active cognitive training by use of the VideoGrade software by Aristotle University of Thessaloniki.
Eligibility Criteria
You may qualify if:
- no severe cognitive impairment measured by Mini-Mental State Examination (MMSE) ≥ 18
- fluent language skills
- agreement of a medical doctor
- time commitment to the test and exercise protocol.
You may not qualify if:
- concurrent participation in another study
- severe physical or psychological disorders which precluded participation in the intervention (i.e., inability to follow instructions)
- unrecovered neurological disorders such as stroke, traumatic brain injury, unstable medication within the past three months
- severe and uncorrectable vision problems, or hearing aid for less than three months.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- XtremeVRI AGlead
- Aristotle University Of Thessalonikicollaborator
- Greek Alzheimer's Association and Related Disorderscollaborator
- Klinik Hirslanden, Zurichcollaborator
Related Publications (5)
Tarnanas I. A virtual environment for the assessment and the rehabilitation of the visuo-constructional ability in dementia patients. Stud Health Technol Inform. 2000;70:341-3.
PMID: 10977568BACKGROUNDTarnanas I, Schlee W, Tsolaki M, Muri R, Mosimann U, Nef T. Ecological validity of virtual reality daily living activities screening for early dementia: longitudinal study. JMIR Serious Games. 2013 Aug 6;1(1):e1. doi: 10.2196/games.2778.
PMID: 25658491BACKGROUNDLaskaris NA, Tarnanas I, Tsolaki MN, Vlaikidis N, Karlovasitou AK. Improved detection of amnestic MCI by means of discriminative vector quantization of single-trial cognitive ERP responses. J Neurosci Methods. 2013 Jan 30;212(2):344-54. doi: 10.1016/j.jneumeth.2012.10.014. Epub 2012 Nov 9.
PMID: 23147007BACKGROUNDTarnanas I, Tsolaki M, Nef T, M Muri R, Mosimann UP. Can a novel computerized cognitive screening test provide additional information for early detection of Alzheimer's disease? Alzheimers Dement. 2014 Nov;10(6):790-8. doi: 10.1016/j.jalz.2014.01.002. Epub 2014 Mar 18.
PMID: 24656838BACKGROUNDTarnanas I, Laskaris N, Tsolaki M, Muri R, Nef T, Mosimann UP. On the comparison of a novel serious game and electroencephalography biomarkers for early dementia screening. Adv Exp Med Biol. 2015;821:63-77. doi: 10.1007/978-3-319-08939-3_11.
PMID: 25416111BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Magda Tsolaki, PhD
GAADRD
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- QUADRUPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 26, 2015
First Posted
April 15, 2015
Study Start
February 1, 2015
Primary Completion
September 1, 2018
Study Completion
December 1, 2018
Last Updated
February 8, 2022
Record last verified: 2022-02