Background: Cognitive impairment occurs in up to 70% of people with MS (pwMS) and has a large impact on quality of life and working capacity. As part of the development of a smartphone-app (dreaMS) for monitoring MS disease activity and progression, we assessed the feasibility and acceptance of using cognitive games as assessment tools for cognitive domains. Methods: We integrated ten cognitive games in the dreaMS app. Participants were asked to play these games twice a week for 5 weeks. All subjects underwent a battery of established neuropsychological tests. User feedback on acceptance was obtained via a five-point Likert-scale questionnaire. We correlated game performance measures with predetermined reference tests (Spearman’s rho) and analyzed differences between pwMS and Healthy Controls (rank biserial correlation). Results: We included 31 pwMS (mean age 43.4 ± 12.0 years; 68% females; median Expanded Disability Status Scale score 3.0, range 1.0–6.0) and 31 age- and sex-matched HC. All but one game showed moderate–strong correlations with their reference tests, (|rs|= 0.34–0.77). Performance improved in both groups over the 5 weeks. Average ratings for overall impression and meaningfulness were 4.6 (range 4.2–4.9) and 4.7 (range 4.5–4.8), respectively. Conclusion: Moderate–strong correlations with reference tests suggest that adaptive cognitive games may be used as measures of cognitive domains. The practice effects observed suggest that game-derived measures may capture change over time. All games were perceived as enjoyable and meaningful, features crucial for long-term adherence. Our results encourage further validation of adaptive cognitive games as monitoring tools for cognition in larger studies of longer duration. Study Register: ClinicalTrials.gov: NCT04413032.
CITATION STYLE
Pless, S., Woelfle, T., Naegelin, Y., Lorscheider, J., Wiencierz, A., Reyes, Ó., … Kappos, L. (2023). Assessment of cognitive performance in multiple sclerosis using smartphone-based training games: a feasibility study. Journal of Neurology, 270(7), 3451–3463. https://doi.org/10.1007/s00415-023-11671-9
Mendeley helps you to discover research relevant for your work.