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Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population

Background: Smart Aging is a Serious games (SGs) platform in a 3D virtual environment in which users perform a set of screening tests that address various cognitive skills. The tests are structured as 5 tasks of activities of daily life in a familiar environment. The main goal of the present study i...

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Autores principales: Bottiroli, Sara, Tassorelli, Cristina, Lamonica, Marialisa, Zucchella, Chiara, Cavallini, Elena, Bernini, Sara, Sinforiani, Elena, Pazzi, Stefania, Cristiani, Paolo, Vecchi, Tomaso, Tost, Daniela, Sandrini, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702318/
https://www.ncbi.nlm.nih.gov/pubmed/29209200
http://dx.doi.org/10.3389/fnagi.2017.00379
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author Bottiroli, Sara
Tassorelli, Cristina
Lamonica, Marialisa
Zucchella, Chiara
Cavallini, Elena
Bernini, Sara
Sinforiani, Elena
Pazzi, Stefania
Cristiani, Paolo
Vecchi, Tomaso
Tost, Daniela
Sandrini, Giorgio
author_facet Bottiroli, Sara
Tassorelli, Cristina
Lamonica, Marialisa
Zucchella, Chiara
Cavallini, Elena
Bernini, Sara
Sinforiani, Elena
Pazzi, Stefania
Cristiani, Paolo
Vecchi, Tomaso
Tost, Daniela
Sandrini, Giorgio
author_sort Bottiroli, Sara
collection PubMed
description Background: Smart Aging is a Serious games (SGs) platform in a 3D virtual environment in which users perform a set of screening tests that address various cognitive skills. The tests are structured as 5 tasks of activities of daily life in a familiar environment. The main goal of the present study is to compare a cognitive evaluation made with Smart Aging with those of a classic standardized screening test, the Montreal Cognitive Assessment (MoCA). Methods: One thousand one-hundred thirty-one healthy adults aged between 50 and 80 (M = 64.3 ± 8.3) were enrolled in the study. They received a cognitive evaluation with the MoCA and the Smart Aging platform. Participants were grouped according to their MoCA global and specific cognitive domain (i.e., memory, executive functions, working memory, visual spatial elaboration, language, and orientation) scores and we explored differences among these groups in the Smart Aging indices. Results: One thousand eighty-six older adults (M = 64.0 ± 8.0) successfully completed the study and were stratified according to their MoCA score: Group 1 with MoCA < 27 (n = 360); Group 2 with 27 ≥ MoCA < 29 (n = 453); and Group 3 with MoCA ≥ 29 (n = 273). MoCA groups significantly differed in most of the Smart Aging indices considered, in particular as concerns accuracy (ps < 0.001) and time (ps < 0.001) for completing most of the platform tasks. Group 1 was outperformed by the other two Groups and was slower than them in these tasks, which were those supposed to assess memory and executive functions. In addition, significant differences across groups also emerged when considering the single cognitive domains of the MoCA and the corresponding performances in each Smart Aging task. In particular, this platform seems to be a good proxy for assessing memory, executive functions, working memory, and visual spatial processes. Conclusion: These findings demonstrate the validity of Smart Aging for assessing cognitive functions in normal aging. Future studies will validate this platform also in the clinical aging populations.
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spelling pubmed-57023182017-12-05 Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population Bottiroli, Sara Tassorelli, Cristina Lamonica, Marialisa Zucchella, Chiara Cavallini, Elena Bernini, Sara Sinforiani, Elena Pazzi, Stefania Cristiani, Paolo Vecchi, Tomaso Tost, Daniela Sandrini, Giorgio Front Aging Neurosci Neuroscience Background: Smart Aging is a Serious games (SGs) platform in a 3D virtual environment in which users perform a set of screening tests that address various cognitive skills. The tests are structured as 5 tasks of activities of daily life in a familiar environment. The main goal of the present study is to compare a cognitive evaluation made with Smart Aging with those of a classic standardized screening test, the Montreal Cognitive Assessment (MoCA). Methods: One thousand one-hundred thirty-one healthy adults aged between 50 and 80 (M = 64.3 ± 8.3) were enrolled in the study. They received a cognitive evaluation with the MoCA and the Smart Aging platform. Participants were grouped according to their MoCA global and specific cognitive domain (i.e., memory, executive functions, working memory, visual spatial elaboration, language, and orientation) scores and we explored differences among these groups in the Smart Aging indices. Results: One thousand eighty-six older adults (M = 64.0 ± 8.0) successfully completed the study and were stratified according to their MoCA score: Group 1 with MoCA < 27 (n = 360); Group 2 with 27 ≥ MoCA < 29 (n = 453); and Group 3 with MoCA ≥ 29 (n = 273). MoCA groups significantly differed in most of the Smart Aging indices considered, in particular as concerns accuracy (ps < 0.001) and time (ps < 0.001) for completing most of the platform tasks. Group 1 was outperformed by the other two Groups and was slower than them in these tasks, which were those supposed to assess memory and executive functions. In addition, significant differences across groups also emerged when considering the single cognitive domains of the MoCA and the corresponding performances in each Smart Aging task. In particular, this platform seems to be a good proxy for assessing memory, executive functions, working memory, and visual spatial processes. Conclusion: These findings demonstrate the validity of Smart Aging for assessing cognitive functions in normal aging. Future studies will validate this platform also in the clinical aging populations. Frontiers Media S.A. 2017-11-21 /pmc/articles/PMC5702318/ /pubmed/29209200 http://dx.doi.org/10.3389/fnagi.2017.00379 Text en Copyright © 2017 Bottiroli, Tassorelli, Lamonica, Zucchella, Cavallini, Bernini, Sinforiani, Pazzi, Cristiani, Vecchi, Tost and Sandrini. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bottiroli, Sara
Tassorelli, Cristina
Lamonica, Marialisa
Zucchella, Chiara
Cavallini, Elena
Bernini, Sara
Sinforiani, Elena
Pazzi, Stefania
Cristiani, Paolo
Vecchi, Tomaso
Tost, Daniela
Sandrini, Giorgio
Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population
title Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population
title_full Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population
title_fullStr Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population
title_full_unstemmed Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population
title_short Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population
title_sort smart aging platform for evaluating cognitive functions in aging: a comparison with the moca in a normal population
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702318/
https://www.ncbi.nlm.nih.gov/pubmed/29209200
http://dx.doi.org/10.3389/fnagi.2017.00379
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