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Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review
The dementia population is increasing as the world’s population is growing older. The current systematic review aims to identify digital cognitive biomarkers from computerized tests for detecting dementia and its risk state of mild cognitive impairment (MCI), and to evaluate the diagnostic performan...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320101/ https://www.ncbi.nlm.nih.gov/pubmed/35887956 http://dx.doi.org/10.3390/jcm11144191 |
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author | Ding, Zihan Lee, Tsz-lok Chan, Agnes S. |
author_facet | Ding, Zihan Lee, Tsz-lok Chan, Agnes S. |
author_sort | Ding, Zihan |
collection | PubMed |
description | The dementia population is increasing as the world’s population is growing older. The current systematic review aims to identify digital cognitive biomarkers from computerized tests for detecting dementia and its risk state of mild cognitive impairment (MCI), and to evaluate the diagnostic performance of digital cognitive biomarkers. A literature search was performed in three databases, and supplemented by a Google search for names of previously identified computerized tests. Computerized tests were categorized into five types, including memory tests, test batteries, other single/multiple cognitive tests, handwriting/drawing tests, and daily living tasks and serious games. Results showed that 78 studies were eligible. Around 90% of the included studies were rated as high quality based on the Newcastle–Ottawa Scale (NOS). Most of the digital cognitive biomarkers achieved comparable or even better diagnostic performance than traditional paper-and-pencil tests. Moderate to large group differences were consistently observed in cognitive outcomes related to memory and executive functions, as well as some novel outcomes measured by handwriting/drawing tests, daily living tasks, and serious games. These outcomes have the potential to be sensitive digital cognitive biomarkers for MCI and dementia. Therefore, digital cognitive biomarkers can be a sensitive and promising clinical tool for detecting MCI and dementia. |
format | Online Article Text |
id | pubmed-9320101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93201012022-07-27 Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review Ding, Zihan Lee, Tsz-lok Chan, Agnes S. J Clin Med Review The dementia population is increasing as the world’s population is growing older. The current systematic review aims to identify digital cognitive biomarkers from computerized tests for detecting dementia and its risk state of mild cognitive impairment (MCI), and to evaluate the diagnostic performance of digital cognitive biomarkers. A literature search was performed in three databases, and supplemented by a Google search for names of previously identified computerized tests. Computerized tests were categorized into five types, including memory tests, test batteries, other single/multiple cognitive tests, handwriting/drawing tests, and daily living tasks and serious games. Results showed that 78 studies were eligible. Around 90% of the included studies were rated as high quality based on the Newcastle–Ottawa Scale (NOS). Most of the digital cognitive biomarkers achieved comparable or even better diagnostic performance than traditional paper-and-pencil tests. Moderate to large group differences were consistently observed in cognitive outcomes related to memory and executive functions, as well as some novel outcomes measured by handwriting/drawing tests, daily living tasks, and serious games. These outcomes have the potential to be sensitive digital cognitive biomarkers for MCI and dementia. Therefore, digital cognitive biomarkers can be a sensitive and promising clinical tool for detecting MCI and dementia. MDPI 2022-07-19 /pmc/articles/PMC9320101/ /pubmed/35887956 http://dx.doi.org/10.3390/jcm11144191 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ding, Zihan Lee, Tsz-lok Chan, Agnes S. Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review |
title | Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review |
title_full | Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review |
title_fullStr | Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review |
title_full_unstemmed | Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review |
title_short | Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review |
title_sort | digital cognitive biomarker for mild cognitive impairments and dementia: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320101/ https://www.ncbi.nlm.nih.gov/pubmed/35887956 http://dx.doi.org/10.3390/jcm11144191 |
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