Summary: Researchers report mild cognitive impairment can be remotely detected with the help of a self administered brain training game.
Source: IOS Press.
The VSM payment screen (screenshot from the English version of the application). NeuroscienceNews.com image is credited to Aristotle University of Thessaloniki (AUTH).
A condition that often predates Alzheimer’s disease (AD), can be remotely detected through a self-administered virtual reality brain training game.
Mild cognitive impairment (MCI), a condition that often predates Alzheimer’s disease (AD), can be remotely detected through a self-administered virtual reality brain training game.
Thessaloniki, Greece, February 23, 2017 – Greek researchers demonstrated the potential of a self-administered virtual supermarket cognitive training game for remotely detecting mild cognitive impairment (MCI), without the need for an examiner, among a sample of older adults. MCI patients suffer from cognitive problems and often encounter difficulties in performing complex activities such as financial planning. They are at a high risk for progressing to dementia however early detection of MCI and suitable interventions can stabilize the patients’ condition and prevent further decline.
It has been shown that virtual reality game-based applications and especially virtual supermarkets can detect MCI. Past studies have utilized user performance in such applications along with data from standardized neuropsychological tests in order to detect MCI. The team that conducted this study was the first scientific team to achieve reliable MCI detection using a virtual reality game-based application on its own. In that previous study , administration of the virtual super market (VSM) exercise was conducted by an examiner. The present study eliminated the need for an examiner by calculating the average performance of older adults using a special version of the VSM application, the VSM Remote Assessment Routine (VSM-RAR), at home on their own, for a period of one month. It is the first instance where a self-administered virtual reality application was used to detect MCI with a high degree of reliability.
The research team included scientists from the Aristotle University of Thessaloniki (AUTH), the Centre for Research and Technology Hellas/Information Technologies Institute (CERTH/ITI), the Greek Association of Alzheimer’s Disease and Related Disorders (GAADRD) and the Network Aging Research (NAR) of the University of Heidelberg.
In an article published in the Journal of Alzheimer’s Disease, the researchers have indicated that the virtual supermarket remote assessment routine (VSM-RAR) application displayed a correct classification rate (CCR) of 91.8% improving VSM’s CCR as assessed in the previous VSM study while achieving a level of diagnostic accuracy similar to the most accurate standardized neuropsychological tests, which are considered the gold standard for MCI detection.
Self-administered computerized cognitive training exercises/games are gaining popularity among older adults as an easy and enjoyable means of maintaining cognitive health. Such applications are especially popular among older adults who consider themselves healthy and are not inclined to visit specialized memory clinics for cognitive assessment. If self-administered games and exercises could also detect cognitive disorders, initial cognitive screening could be conducted remotely. The wide implementation of this method of remote screening would facilitate the detection of cognitive impairment at the MCI stage thus allowing for more efficient therapeutic interventions.
This preliminary study indicates that automated, remote MCI screening is feasible. This method could be utilized to screen the majority of the older adult population, as it dramatically lowers examination-related costs. The social and economic benefits, especially caregiver and healthcare service burden, of the early detection of cognitive disorders could be enormous. At the same time, as older adults are becoming increasingly computer savvy, it is important to create software that meets their needs and allows them to remain healthy and active. Out team continues its research on the VSM with the aim of improving its usability, shortening its administration time and supplementing the science behind VSM with additional data.
Source: Stelios Zygouris – IOS Press
Image Source: NeuroscienceNews.com image is credited to Aristotle University of Thessaloniki (AUTH).
Image Source: NeuroscienceNews.com image is credited to Aristotle University of Thessaloniki (AUTH).
Original Research: Abstract for “A Preliminary Study on the Feasibility of Using a Virtual Reality Cognitive Training Application for Remote Detection of Mild Cognitive Impairment” by Zygouris, Stelios; Ntovas, Konstantinos; Giakoumis, Dimitrios; Votis, Konstantinos; Doumpoulakis, Stefanos; Segkouli, Sofia; Karagiannidis, Charalampos; Tzovaras, Dimitrios; and Tsolaki, Magda in Journal of Alzheimer’s Disease. Published online January 24 2017 doi:10.3233/JAD-160518
Abstract
A Preliminary Study on the Feasibility of Using a Virtual Reality Cognitive Training Application for Remote Detection of Mild Cognitive Impairment
Background: It has been demonstrated that virtual reality (VR) applications can be used for the detection of mild cognitive impairment (MCI). Objective: The aim of this study is to provide a preliminary investigation on whether a VR cognitive training application can be used to detect MCI in persons using the application at home without the help of an examiner.
Methods: Two groups, one of healthy older adults (n = 6) and one of MCI patients (n = 6) were recruited from Thessaloniki day centers for cognitive disorders and provided with a tablet PC with custom software enabling the self-administration of the Virtual Super Market (VSM) cognitive training exercise. The average performance (from 20 administrations of the exercise) of the two groups was compared and was also correlated with performance in established neuropsychological tests.
Results: Average performance in terms of duration to complete the given exercise differed significantly between healthy(μ = 247.41 s/ sd = 89.006) and MCI (μ= 454.52 s/ sd = 177.604) groups, yielding a correct classification rate of 91.8% with a sensitivity and specificity of 94% and 89% respectively for MCI detection. Average performance also correlated significantly with performance in Functional Cognitive Assessment Scale (FUCAS), Test of Everyday Attention (TEA), and Rey Osterrieth Complex Figure test (ROCFT).
Discussion: The VR application exhibited very high accuracy in detecting MCI while all participants were able to operate the tablet and application on their own. Diagnostic accuracy was improved compared to a previous study using data from only one administration of the exercise. The results of the present study suggest that remote MCI detection through VR applications can be feasible.
“A Preliminary Study on the Feasibility of Using a Virtual Reality Cognitive Training Application for Remote Detection of Mild Cognitive Impairment” by Zygouris, Stelios; Ntovas, Konstantinos; Giakoumis, Dimitrios; Votis, Konstantinos; Doumpoulakis, Stefanos; Segkouli, Sofia; Karagiannidis, Charalampos; Tzovaras, Dimitrios; and Tsolaki, Magda in Journal of Alzheimer’s Disease. Published online January 24 2017 doi:10.3233/JAD-160518
http://neurosciencenews.com/mci-virtual-reality-6154/
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