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Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment

Alzheimer's disease, and dementia, represent a common cause of disability and one of the most relevant challenges in the health world. In addition, these conditions do not have, at moment, a pharmacological treatment that can stop the pathological progress. Mild cognitive impairment (MCI), defi...

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Autores principales: Mancioppi, Gianmaria, Fiorini, Laura, Timpano Sportiello, Marco, Cavallo, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700331/
https://www.ncbi.nlm.nih.gov/pubmed/31456679
http://dx.doi.org/10.3389/fninf.2019.00058
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author Mancioppi, Gianmaria
Fiorini, Laura
Timpano Sportiello, Marco
Cavallo, Filippo
author_facet Mancioppi, Gianmaria
Fiorini, Laura
Timpano Sportiello, Marco
Cavallo, Filippo
author_sort Mancioppi, Gianmaria
collection PubMed
description Alzheimer's disease, and dementia, represent a common cause of disability and one of the most relevant challenges in the health world. In addition, these conditions do not have, at moment, a pharmacological treatment that can stop the pathological progress. Mild cognitive impairment (MCI), defined as the borderline between normal aging and early dementia, represents a meaningful field of study because, in the transition to dementia, clinicians have defined a useful therapeutic window. Additionally, due to the lack of effective pharmacological interventions, recent years have seen an increase in research into new technological solutions to assess, stimulate, and assist patients afflicted with Alzheimer's disease. This review aims to outline the use of information and communication technologies in the field studying MCI. Particularly, the goal is to depict the framework and describe the most worthwhile research efforts, in order to display the current technologies available, describe the research objectives, and delineate prospective future researches. Regarding data sources, the research was conducted within three databases, PubMed Central, Web of Science, and Scopus, between January 2009 and December 2017. A total of 646 articles were found in the initial search. Accurate definition of the exclusion criteria and selection strategy allowed identification of the most relevant papers to use for the study. Finally, 56 papers were fully evaluated and included in this review. Three major clinical application areas have been portrayed, namely “Cognitive Assessment,” “Treatment,” and “Assistance.” These have been combined with three main technological solutions, specifically “Sensors,” “Personal Devices,” and “Robots.” Furthermore, the study of the publications time series illustrates a steadily increasing trend, characterized by the enrollment of small groups of subjects, and particularly oriented to the subjects assistance using robots companion. In conclusion, despite the new technological solutions for people with MCI have received much interest, particularly regarding robots for assistance, nowadays it still owns vast room for improvement.
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spelling pubmed-67003312019-08-27 Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment Mancioppi, Gianmaria Fiorini, Laura Timpano Sportiello, Marco Cavallo, Filippo Front Neuroinform Neuroscience Alzheimer's disease, and dementia, represent a common cause of disability and one of the most relevant challenges in the health world. In addition, these conditions do not have, at moment, a pharmacological treatment that can stop the pathological progress. Mild cognitive impairment (MCI), defined as the borderline between normal aging and early dementia, represents a meaningful field of study because, in the transition to dementia, clinicians have defined a useful therapeutic window. Additionally, due to the lack of effective pharmacological interventions, recent years have seen an increase in research into new technological solutions to assess, stimulate, and assist patients afflicted with Alzheimer's disease. This review aims to outline the use of information and communication technologies in the field studying MCI. Particularly, the goal is to depict the framework and describe the most worthwhile research efforts, in order to display the current technologies available, describe the research objectives, and delineate prospective future researches. Regarding data sources, the research was conducted within three databases, PubMed Central, Web of Science, and Scopus, between January 2009 and December 2017. A total of 646 articles were found in the initial search. Accurate definition of the exclusion criteria and selection strategy allowed identification of the most relevant papers to use for the study. Finally, 56 papers were fully evaluated and included in this review. Three major clinical application areas have been portrayed, namely “Cognitive Assessment,” “Treatment,” and “Assistance.” These have been combined with three main technological solutions, specifically “Sensors,” “Personal Devices,” and “Robots.” Furthermore, the study of the publications time series illustrates a steadily increasing trend, characterized by the enrollment of small groups of subjects, and particularly oriented to the subjects assistance using robots companion. In conclusion, despite the new technological solutions for people with MCI have received much interest, particularly regarding robots for assistance, nowadays it still owns vast room for improvement. Frontiers Media S.A. 2019-08-13 /pmc/articles/PMC6700331/ /pubmed/31456679 http://dx.doi.org/10.3389/fninf.2019.00058 Text en Copyright © 2019 Mancioppi, Fiorini, Timpano Sportiello and Cavallo. 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) and the copyright owner(s) 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
Mancioppi, Gianmaria
Fiorini, Laura
Timpano Sportiello, Marco
Cavallo, Filippo
Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
title Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
title_full Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
title_fullStr Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
title_full_unstemmed Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
title_short Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
title_sort novel technological solutions for assessment, treatment, and assistance in mild cognitive impairment
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700331/
https://www.ncbi.nlm.nih.gov/pubmed/31456679
http://dx.doi.org/10.3389/fninf.2019.00058
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