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Digital biomarkers of cognitive function

To identify digital biomarkers associated with cognitive function, we analyzed human–computer interaction from 7 days of smartphone use in 27 subjects (ages 18–34) who received a gold standard neuropsychological assessment. For several neuropsychological constructs (working memory, memory, executive...

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Detalles Bibliográficos
Autor principal: Dagum, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550173/
https://www.ncbi.nlm.nih.gov/pubmed/31304295
http://dx.doi.org/10.1038/s41746-018-0018-4
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author Dagum, Paul
author_facet Dagum, Paul
author_sort Dagum, Paul
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description To identify digital biomarkers associated with cognitive function, we analyzed human–computer interaction from 7 days of smartphone use in 27 subjects (ages 18–34) who received a gold standard neuropsychological assessment. For several neuropsychological constructs (working memory, memory, executive function, language, and intelligence), we found a family of digital biomarkers that predicted test scores with high correlations (p < 10(−4)). These preliminary results suggest that passive measures from smartphone use could be a continuous ecological surrogate for laboratory-based neuropsychological assessment.
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spelling pubmed-65501732019-07-12 Digital biomarkers of cognitive function Dagum, Paul NPJ Digit Med Brief Communication To identify digital biomarkers associated with cognitive function, we analyzed human–computer interaction from 7 days of smartphone use in 27 subjects (ages 18–34) who received a gold standard neuropsychological assessment. For several neuropsychological constructs (working memory, memory, executive function, language, and intelligence), we found a family of digital biomarkers that predicted test scores with high correlations (p < 10(−4)). These preliminary results suggest that passive measures from smartphone use could be a continuous ecological surrogate for laboratory-based neuropsychological assessment. Nature Publishing Group UK 2018-03-28 /pmc/articles/PMC6550173/ /pubmed/31304295 http://dx.doi.org/10.1038/s41746-018-0018-4 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Communication
Dagum, Paul
Digital biomarkers of cognitive function
title Digital biomarkers of cognitive function
title_full Digital biomarkers of cognitive function
title_fullStr Digital biomarkers of cognitive function
title_full_unstemmed Digital biomarkers of cognitive function
title_short Digital biomarkers of cognitive function
title_sort digital biomarkers of cognitive function
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550173/
https://www.ncbi.nlm.nih.gov/pubmed/31304295
http://dx.doi.org/10.1038/s41746-018-0018-4
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