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Real-world keystroke dynamics are a potentially valid biomarker for clinical disability in multiple sclerosis.

Authors :
Lam KH
Meijer KA
Loonstra FC
Coerver E
Twose J
Redeman E
Moraal B
Barkhof F
de Groot V
Uitdehaag B
Killestein J
Source :
Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2021 Aug; Vol. 27 (9), pp. 1421-1431. Date of Electronic Publication: 2020 Nov 05.
Publication Year :
2021

Abstract

Background: Clinical measures in multiple sclerosis (MS) face limitations that may be overcome by utilising smartphone keyboard interactions acquired continuously and remotely during regular typing.<br />Objective: The aim of this study was to determine the reliability and validity of keystroke dynamics to assess clinical aspects of MS.<br />Methods: In total, 102 MS patients and 24 controls were included in this observational study. Keyboard interactions were obtained with the Neurokeys keyboard app. Eight timing-related keystroke features were assessed for reliability with intraclass correlation coefficients (ICCs); construct validity by analysing group differences (in fatigue, gadolinium-enhancing lesions on magnetic resonance imaging (MRI), and patients vs controls); and concurrent validity by correlating with disability measures.<br />Results: Reliability was moderate in two (ICC = 0.601 and 0.742) and good to excellent in the remaining six features (ICC = 0.760-0.965). Patients had significantly higher keystroke latencies than controls. Latency between key presses correlated the highest with Expanded Disability Status Scale ( r  = 0.407) and latency between key releases with Nine-Hole Peg Test and Symbol Digit Modalities Test (ρ = 0.503 and r  = -0.553, respectively), p s < 0.001.<br />Conclusion: Keystroke dynamics were reliable, distinguished patients and controls, and were associated with clinical disability measures. Consequently, keystroke dynamics are a promising valid surrogate marker for clinical disability in MS.

Details

Language :
English
ISSN :
1477-0970
Volume :
27
Issue :
9
Database :
MEDLINE
Journal :
Multiple sclerosis (Houndmills, Basingstoke, England)
Publication Type :
Academic Journal
Accession number :
33150823
Full Text :
https://doi.org/10.1177/1352458520968797