Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets

Author:

Yamada YasunoriORCID,Shinkawa KaoruORCID,Kobayashi MasatomoORCID,Badal Varsha DORCID,Glorioso DanielleORCID,Lee Ellen EORCID,Daly RebeccaORCID,Nebeker CamilleORCID,Twamley Elizabeth WORCID,Depp ColinORCID,Nemoto MiyukiORCID,Nemoto KiyotakaORCID,Kim Ho-CheolORCID,Arai TetsuakiORCID,Jeste Dilip VORCID

Abstract

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 (R2=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.

Publisher

JMIR Publications Inc.

Subject

Computer Science Applications,Health Informatics,Medicine (miscellaneous)

Reference58 articles.

1. GauthierSRosa-NetoPMoraisJWebsterCWorld Alzheimer Report 2021Alzheimer's Disease International20212022-04-06https://www.alzint.org/resource/world-alzheimer-report-2021/

2. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission

3. Practice guideline update summary: Mild cognitive impairment

4.

Alzheimer’s Disease – Why We Need Early Diagnosis

5. “Mini-mental state”

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