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Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets
BACKGROUND: With the aging of populations worldwide, early detection of cognitive impairments has become a research and clinical priority, particularly to enable preventive intervention for dementia. Automated analysis of the drawing process has been studied as a promising means for lightweight, sel...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121219/ https://www.ncbi.nlm.nih.gov/pubmed/35511253 http://dx.doi.org/10.2196/37014 |
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author | Yamada, Yasunori Shinkawa, Kaoru Kobayashi, Masatomo Badal, Varsha D Glorioso, Danielle Lee, Ellen E Daly, Rebecca Nebeker, Camille Twamley, Elizabeth W Depp, Colin Nemoto, Miyuki Nemoto, Kiyotaka Kim, Ho-Cheol Arai, Tetsuaki Jeste, Dilip V |
author_facet | Yamada, Yasunori Shinkawa, Kaoru Kobayashi, Masatomo Badal, Varsha D Glorioso, Danielle Lee, Ellen E Daly, Rebecca Nebeker, Camille Twamley, Elizabeth W Depp, Colin Nemoto, Miyuki Nemoto, Kiyotaka Kim, Ho-Cheol Arai, Tetsuaki Jeste, Dilip V |
author_sort | Yamada, Yasunori |
collection | PubMed |
description | BACKGROUND: With the aging of populations worldwide, early detection of cognitive impairments has become a research and clinical priority, particularly to enable preventive intervention for dementia. Automated analysis of the drawing process has been studied as a promising means for lightweight, self-administered cognitive assessment. However, this approach has not been sufficiently tested for its applicability across populations. OBJECTIVE: The aim of this study was to evaluate the applicability of automated analysis of the drawing process for estimating global cognition in community-dwelling older adults across populations in different nations. METHODS: We collected drawing data with a digital tablet, along with Montreal Cognitive Assessment (MoCA) scores for assessment of global cognition, from 92 community-dwelling older adults in the United States and Japan. We automatically extracted 6 drawing features that characterize the drawing process in terms of the drawing speed, pauses between drawings, pen pressure, and pen inclinations. We then investigated the association between the drawing features and MoCA scores through correlation and machine learning–based regression analyses. RESULTS: We found that, with low MoCA scores, there tended to be higher variability in the drawing speed, a higher pause:drawing duration ratio, and lower variability in the pen’s horizontal inclination in both the US and Japan data sets. A machine learning model that used drawing features to estimate MoCA scores demonstrated its capability to generalize from the US dataset to the Japan dataset (R(2)=0.35; permutation test, P<.001). CONCLUSIONS: This study presents initial empirical evidence of the capability of automated analysis of the drawing process as an estimator of global cognition that is applicable across populations. Our results suggest that such automated analysis may enable the development of a practical tool for international use in self-administered, automated cognitive assessment. |
format | Online Article Text |
id | pubmed-9121219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-91212192022-05-21 Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets Yamada, Yasunori Shinkawa, Kaoru Kobayashi, Masatomo Badal, Varsha D Glorioso, Danielle Lee, Ellen E Daly, Rebecca Nebeker, Camille Twamley, Elizabeth W Depp, Colin Nemoto, Miyuki Nemoto, Kiyotaka Kim, Ho-Cheol Arai, Tetsuaki Jeste, Dilip V JMIR Form Res Original Paper BACKGROUND: With the aging of populations worldwide, early detection of cognitive impairments has become a research and clinical priority, particularly to enable preventive intervention for dementia. Automated analysis of the drawing process has been studied as a promising means for lightweight, self-administered cognitive assessment. However, this approach has not been sufficiently tested for its applicability across populations. OBJECTIVE: The aim of this study was to evaluate the applicability of automated analysis of the drawing process for estimating global cognition in community-dwelling older adults across populations in different nations. METHODS: We collected drawing data with a digital tablet, along with Montreal Cognitive Assessment (MoCA) scores for assessment of global cognition, from 92 community-dwelling older adults in the United States and Japan. We automatically extracted 6 drawing features that characterize the drawing process in terms of the drawing speed, pauses between drawings, pen pressure, and pen inclinations. We then investigated the association between the drawing features and MoCA scores through correlation and machine learning–based regression analyses. RESULTS: We found that, with low MoCA scores, there tended to be higher variability in the drawing speed, a higher pause:drawing duration ratio, and lower variability in the pen’s horizontal inclination in both the US and Japan data sets. A machine learning model that used drawing features to estimate MoCA scores demonstrated its capability to generalize from the US dataset to the Japan dataset (R(2)=0.35; permutation test, P<.001). CONCLUSIONS: This study presents initial empirical evidence of the capability of automated analysis of the drawing process as an estimator of global cognition that is applicable across populations. Our results suggest that such automated analysis may enable the development of a practical tool for international use in self-administered, automated cognitive assessment. JMIR Publications 2022-05-05 /pmc/articles/PMC9121219/ /pubmed/35511253 http://dx.doi.org/10.2196/37014 Text en ©Yasunori Yamada, Kaoru Shinkawa, Masatomo Kobayashi, Varsha D Badal, Danielle Glorioso, Ellen E Lee, Rebecca Daly, Camille Nebeker, Elizabeth W Twamley, Colin Depp, Miyuki Nemoto, Kiyotaka Nemoto, Ho-Cheol Kim, Tetsuaki Arai, Dilip V Jeste. Originally published in JMIR Formative Research (https://formative.jmir.org), 05.05.2022. 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 Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Yamada, Yasunori Shinkawa, Kaoru Kobayashi, Masatomo Badal, Varsha D Glorioso, Danielle Lee, Ellen E Daly, Rebecca Nebeker, Camille Twamley, Elizabeth W Depp, Colin Nemoto, Miyuki Nemoto, Kiyotaka Kim, Ho-Cheol Arai, Tetsuaki Jeste, Dilip V Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets |
title | Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets |
title_full | Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets |
title_fullStr | Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets |
title_full_unstemmed | Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets |
title_short | Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets |
title_sort | automated analysis of drawing process to estimate global cognition in older adults: preliminary international validation on the us and japan data sets |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121219/ https://www.ncbi.nlm.nih.gov/pubmed/35511253 http://dx.doi.org/10.2196/37014 |
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