Back to Search Start Over

Associations between smartphone keystroke dynamics and cognition in MS.

Authors :
Chen MH
Leow A
Ross MK
DeLuca J
Chiaravalloti N
Costa SL
Genova HM
Weber E
Hussain F
Demos AP
Source :
Digital health [Digit Health] 2022 Dec 05; Vol. 8, pp. 20552076221143234. Date of Electronic Publication: 2022 Dec 05 (Print Publication: 2022).
Publication Year :
2022

Abstract

Objective: Examine the associations between smartphone keystroke dynamics and cognitive functioning among persons with multiple sclerosis (MS).<br />Methods: Sixteen persons with MS with no self-reported upper extremity or typing difficulties and 10 healthy controls (HCs) completed six weeks of remote monitoring of their keystroke dynamics (i.e., how they typed on their smartphone keyboards). They also completed a comprehensive neuropsychological assessment and symptom ratings about fatigue, depression, and anxiety at baseline.<br />Results: A total of 1,335,787 keystrokes were collected, which were part of 30,968 typing sessions. The MS group typed slower ( P  < .001) and more variably ( P  = .032) than the HC group. Faster typing speed was associated with better performance on measures of processing speed ( P  = .016), attention ( P  = .022), and executive functioning (cognitive flexibility: P  = .029; behavioral inhibition: P  = .002; verbal fluency: P  = .039), as well as less severe impact from fatigue ( P  < .001) and less severe anxiety symptoms ( P  = .007). Those with better cognitive functioning and less severe symptoms showed a stronger correlation between the use of backspace and autocorrection events ( P  < .001).<br />Conclusion: Typing speed may be sensitive to cognitive functions subserved by the frontal-subcortical brain circuits. Individuals with better cognitive functioning and less severe symptoms may be better at monitoring their typing errors. Keystroke dynamics have the potential to be used as an unobtrusive remote monitoring method for real-life cognitive functioning among persons with MS, which may improve the detection of relapses, evaluate treatment efficacy, and track disability progression.<br />Competing Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Alex Leow is a cofounder of KeyWise AI, has served as a consultant for Otsuka US, and is currently on the medical board of Buoy Health. These entities had no involvement in the collection, analysis and interpretation of data; writing of the report; or in the decision to submit the article for publication.<br /> (© The Author(s) 2022.)

Details

Language :
English
ISSN :
2055-2076
Volume :
8
Database :
MEDLINE
Journal :
Digital health
Publication Type :
Academic Journal
Accession number :
36506490
Full Text :
https://doi.org/10.1177/20552076221143234