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Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study

Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min), electronic screening tool for the recognition of MCI based on hand movement analysis. Sixty-eight individuals participated in ou...

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Autores principales: Horvath, Andras Attila, Berente, Dalida Borbala, Vertes, Balazs, Farkas, David, Csukly, Gabor, Werber, Tom, Zsuffa, Janos Andras, Kiss, Mate, Kamondi, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646851/
https://www.ncbi.nlm.nih.gov/pubmed/36352038
http://dx.doi.org/10.1038/s41598-022-21445-4
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author Horvath, Andras Attila
Berente, Dalida Borbala
Vertes, Balazs
Farkas, David
Csukly, Gabor
Werber, Tom
Zsuffa, Janos Andras
Kiss, Mate
Kamondi, Anita
author_facet Horvath, Andras Attila
Berente, Dalida Borbala
Vertes, Balazs
Farkas, David
Csukly, Gabor
Werber, Tom
Zsuffa, Janos Andras
Kiss, Mate
Kamondi, Anita
author_sort Horvath, Andras Attila
collection PubMed
description Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min), electronic screening tool for the recognition of MCI based on hand movement analysis. Sixty-eight individuals participated in our study, 46 healthy controls and 22 patients with clinically defined MCI. All participants underwent a detailed medical assessment including neuropsychology and brain MRI. Significant differences were found between controls and MCI groups in mouse movement characteristics. Patients showed higher level of entropy for both the left (F = 5.24; p = 0.001) and the right hand (F = 8.46; p < 0.001). Longer time was required in MCI to perform the fine motor task (p < 0.005). Furthermore, we also found significant correlations between mouse movement parameters and neuropsychological test scores. Correlation was the strongest between motor parameters and Clinical Dementia Rating scale (CDR) score (average r: − 0.36, all p’s < 0.001). Importantly, motor parameters were not influenced by age, gender, or anxiety effect (all p’s > 0.05). Our study draws attention to the utility of hand movement analysis, especially to the estimation of entropy in the early recognition of MCI. It also suggests that our system might provide a promising tool for the cognitive screening of large populations.
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spelling pubmed-96468512022-11-15 Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study Horvath, Andras Attila Berente, Dalida Borbala Vertes, Balazs Farkas, David Csukly, Gabor Werber, Tom Zsuffa, Janos Andras Kiss, Mate Kamondi, Anita Sci Rep Article Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min), electronic screening tool for the recognition of MCI based on hand movement analysis. Sixty-eight individuals participated in our study, 46 healthy controls and 22 patients with clinically defined MCI. All participants underwent a detailed medical assessment including neuropsychology and brain MRI. Significant differences were found between controls and MCI groups in mouse movement characteristics. Patients showed higher level of entropy for both the left (F = 5.24; p = 0.001) and the right hand (F = 8.46; p < 0.001). Longer time was required in MCI to perform the fine motor task (p < 0.005). Furthermore, we also found significant correlations between mouse movement parameters and neuropsychological test scores. Correlation was the strongest between motor parameters and Clinical Dementia Rating scale (CDR) score (average r: − 0.36, all p’s < 0.001). Importantly, motor parameters were not influenced by age, gender, or anxiety effect (all p’s > 0.05). Our study draws attention to the utility of hand movement analysis, especially to the estimation of entropy in the early recognition of MCI. It also suggests that our system might provide a promising tool for the cognitive screening of large populations. Nature Publishing Group UK 2022-11-09 /pmc/articles/PMC9646851/ /pubmed/36352038 http://dx.doi.org/10.1038/s41598-022-21445-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Horvath, Andras Attila
Berente, Dalida Borbala
Vertes, Balazs
Farkas, David
Csukly, Gabor
Werber, Tom
Zsuffa, Janos Andras
Kiss, Mate
Kamondi, Anita
Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
title Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
title_full Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
title_fullStr Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
title_full_unstemmed Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
title_short Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
title_sort differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646851/
https://www.ncbi.nlm.nih.gov/pubmed/36352038
http://dx.doi.org/10.1038/s41598-022-21445-4
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