Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis

Abstract As the burden of neurodegenerative diseases increases, time-limited clinic encounters do not allow quantification of complex neurological functions. Patient-collected digital biomarkers may remedy this, if they provide reliable information. However, psychometric properties of digital tools...

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Autores principales:	Linh Pham, Thomas Harris, Mihael Varosanec, Vanessa Morgan, Peter Kosa, Bibiana Bielekova
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/3aff0db76c8b4145b5c4a76b8e9a85e9
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spelling	oai:doaj.org-article:3aff0db76c8b4145b5c4a76b8e9a85e92021-12-02T13:34:33ZSmartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis10.1038/s41746-021-00401-y2398-6352https://doaj.org/article/3aff0db76c8b4145b5c4a76b8e9a85e92021-02-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00401-yhttps://doaj.org/toc/2398-6352Abstract As the burden of neurodegenerative diseases increases, time-limited clinic encounters do not allow quantification of complex neurological functions. Patient-collected digital biomarkers may remedy this, if they provide reliable information. However, psychometric properties of digital tools remain largely un-assessed. We developed a smartphone adaptation of the cognitive test, the Symbol-Digit Modalities Test (SDMT) by randomizing the test’s symbol-number codes and testing sequences. The smartphone SDMT showed comparable psychometric properties in 154 multiple sclerosis (MS) patients and 39 healthy volunteers (HV). E.g., smartphone SDMT achieved slightly higher correlations with cognitive subscores of neurological examinations and with brain injury measured by MRI (R 2 = 0.75, Rho = 0.83, p < 0.0001) than traditional SDMT. Mathematical adjustment for motoric disability of the dominant hand, measured by another smartphone test, compensates for the disadvantage of touch-based test. Averaging granular home measurements of the digital biomarker also increases accuracy of identifying true neurological decline.Linh PhamThomas HarrisMihael VarosanecVanessa MorganPeter KosaBibiana BielekovaNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Linh Pham Thomas Harris Mihael Varosanec Vanessa Morgan Peter Kosa Bibiana Bielekova Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
description	Abstract As the burden of neurodegenerative diseases increases, time-limited clinic encounters do not allow quantification of complex neurological functions. Patient-collected digital biomarkers may remedy this, if they provide reliable information. However, psychometric properties of digital tools remain largely un-assessed. We developed a smartphone adaptation of the cognitive test, the Symbol-Digit Modalities Test (SDMT) by randomizing the test’s symbol-number codes and testing sequences. The smartphone SDMT showed comparable psychometric properties in 154 multiple sclerosis (MS) patients and 39 healthy volunteers (HV). E.g., smartphone SDMT achieved slightly higher correlations with cognitive subscores of neurological examinations and with brain injury measured by MRI (R 2 = 0.75, Rho = 0.83, p < 0.0001) than traditional SDMT. Mathematical adjustment for motoric disability of the dominant hand, measured by another smartphone test, compensates for the disadvantage of touch-based test. Averaging granular home measurements of the digital biomarker also increases accuracy of identifying true neurological decline.
format	article
author	Linh Pham Thomas Harris Mihael Varosanec Vanessa Morgan Peter Kosa Bibiana Bielekova
author_facet	Linh Pham Thomas Harris Mihael Varosanec Vanessa Morgan Peter Kosa Bibiana Bielekova
author_sort	Linh Pham
title	Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
title_short	Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
title_full	Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
title_fullStr	Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
title_full_unstemmed	Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
title_sort	smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3aff0db76c8b4145b5c4a76b8e9a85e9
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Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis

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