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A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study

BACKGROUND: Early detection of dementia is critical for intervention and care planning but remains difficult. Computerized cognitive testing provides an accessible and promising solution to address these current challenges. OBJECTIVE: The aim of this study was to evaluate a computerized cognitive te...

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Autores principales: Ye, Siao, Sun, Kevin, Huynh, Duong, Phi, Huy Q, Ko, Brian, Huang, Bin, Hosseini Ghomi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055476/
https://www.ncbi.nlm.nih.gov/pubmed/35436212
http://dx.doi.org/10.2196/36825
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author Ye, Siao
Sun, Kevin
Huynh, Duong
Phi, Huy Q
Ko, Brian
Huang, Bin
Hosseini Ghomi, Reza
author_facet Ye, Siao
Sun, Kevin
Huynh, Duong
Phi, Huy Q
Ko, Brian
Huang, Bin
Hosseini Ghomi, Reza
author_sort Ye, Siao
collection PubMed
description BACKGROUND: Early detection of dementia is critical for intervention and care planning but remains difficult. Computerized cognitive testing provides an accessible and promising solution to address these current challenges. OBJECTIVE: The aim of this study was to evaluate a computerized cognitive testing battery (BrainCheck) for its diagnostic accuracy and ability to distinguish the severity of cognitive impairment. METHODS: A total of 99 participants diagnosed with dementia, mild cognitive impairment (MCI), or normal cognition (NC) completed the BrainCheck battery. Statistical analyses compared participant performances on BrainCheck based on their diagnostic group. RESULTS: BrainCheck battery performance showed significant differences between the NC, MCI, and dementia groups, achieving 88% or higher sensitivity and specificity (ie, true positive and true negative rates) for separating dementia from NC, and 77% or higher sensitivity and specificity in separating the MCI group from the NC and dementia groups. Three-group classification found true positive rates of 80% or higher for the NC and dementia groups and true positive rates of 64% or higher for the MCI group. CONCLUSIONS: BrainCheck was able to distinguish between diagnoses of dementia, MCI, and NC, providing a potentially reliable tool for early detection of cognitive impairment.
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spelling pubmed-90554762022-05-01 A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study Ye, Siao Sun, Kevin Huynh, Duong Phi, Huy Q Ko, Brian Huang, Bin Hosseini Ghomi, Reza JMIR Aging Original Paper BACKGROUND: Early detection of dementia is critical for intervention and care planning but remains difficult. Computerized cognitive testing provides an accessible and promising solution to address these current challenges. OBJECTIVE: The aim of this study was to evaluate a computerized cognitive testing battery (BrainCheck) for its diagnostic accuracy and ability to distinguish the severity of cognitive impairment. METHODS: A total of 99 participants diagnosed with dementia, mild cognitive impairment (MCI), or normal cognition (NC) completed the BrainCheck battery. Statistical analyses compared participant performances on BrainCheck based on their diagnostic group. RESULTS: BrainCheck battery performance showed significant differences between the NC, MCI, and dementia groups, achieving 88% or higher sensitivity and specificity (ie, true positive and true negative rates) for separating dementia from NC, and 77% or higher sensitivity and specificity in separating the MCI group from the NC and dementia groups. Three-group classification found true positive rates of 80% or higher for the NC and dementia groups and true positive rates of 64% or higher for the MCI group. CONCLUSIONS: BrainCheck was able to distinguish between diagnoses of dementia, MCI, and NC, providing a potentially reliable tool for early detection of cognitive impairment. JMIR Publications 2022-04-15 /pmc/articles/PMC9055476/ /pubmed/35436212 http://dx.doi.org/10.2196/36825 Text en ©Siao Ye, Kevin Sun, Duong Huynh, Huy Q Phi, Brian Ko, Bin Huang, Reza Hosseini Ghomi. Originally published in JMIR Aging (https://aging.jmir.org), 15.04.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Ye, Siao
Sun, Kevin
Huynh, Duong
Phi, Huy Q
Ko, Brian
Huang, Bin
Hosseini Ghomi, Reza
A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study
title A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study
title_full A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study
title_fullStr A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study
title_full_unstemmed A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study
title_short A Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment: Instrument Validation Study
title_sort computerized cognitive test battery for detection of dementia and mild cognitive impairment: instrument validation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055476/
https://www.ncbi.nlm.nih.gov/pubmed/35436212
http://dx.doi.org/10.2196/36825
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