Day-to-day variability in naturalistic key-hold duration is associated with self-reported Parkinson’s disease impact

Background Naturalistic keyboard use enables repeated, low-burden assessment of fine-motor behavior. Whether day-to-day variability in key-hold duration provides information beyond average key-hold duration in Parkinson’s disease (PD) remains unclear. We tested whether within-person variability in daily key-hold duration was associated with a one-time self-reported PD Impact category. Methods We reconstructed the public Tappy dataset from raw keystroke files. The primary phenotype was the within-person coefficient of variation (CV) of daily mean key-hold duration. Ordinal-trend and categorical Impact parameterizations were treated as parallel primary analyses. Secondary and exploratory analyses evaluated alternative variability measures, timing-filter thresholds, observation density, robust daily summaries, approximate disease duration, and unequal precision of daily means. Participant-day location-scale models used both a conventional finite-keystroke sampling-variance approximation and a session/block-aware alternative; participant-cluster bootstrap inference used 2,000 replicates. Results Quality control retained 8,999,669 keystrokes and 5,490 valid participant-days. The complete-case analysis included 73 participants with PD (33 Mild, 30 Medium, and 10 Severe). Each one-category increase in self-reported PD Impact was associated with a 32.4% higher day-to-day CV (ratio, 1.32; 95% CI, 1.13–1.55; P < 0.001). In the categorical parameterization, ratios were 1.38 for Medium versus Mild and 1.70 for Severe versus Mild (overall robust Wald P = 0.001). Estimates were essentially unchanged with 1,000- or 1,500-ms timing limits and a hold-duration-only filter. Daily-median CV remained associated with Impact (ratio, 1.30; 95% CI, 1.08–1.56; P = 0.005). Among the same 52 participants eligible at 500 keystrokes/day, the ratio was 1.25 using the 100-keystroke definition and 1.20 using the 500-keystroke definition. In 72 participants contributing 3,193 participant-days, the session/block-aware location-scale model estimated a 1.62-fold higher latent residual SD per Impact category (2,000-replicate participant-cluster bootstrap 95% CI, 1.20–1.98). Conclusion Greater self-reported PD Impact was associated with higher within-person variability in naturalistic key-hold duration. This cross-sectional association identifies day-to-day variability as a candidate feature for passive fine-motor assessment. Prospective validation against repeated clinical outcomes and independent naturalistic cohorts is needed.

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Journal
Frontiers in Aging Neuroscience
Published
2026-10-30
DOI
https://doi.org/10.3389/fnagi.2026.1982964
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
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article

Day-to-day variability in naturalistic key-hold duration is associated with self-reported Parkinson’s disease impact

Haoyang Hu, Jiaxuan Peng, Fei Yang, Zekai Yu et al.
1 links
Frontiers in Aging Neuroscience
Parkinson's Disease Mechanisms and Treatments
article

Day-to-day variability in naturalistic key-hold duration is associated with self-reported Parkinson’s disease impact

Haoyang Hu, Jiaxuan Peng, Fei Yang, Zekai Yu, Yan Wang
article en

Abstract

Background Naturalistic keyboard use enables repeated, low-burden assessment of fine-motor behavior. Whether day-to-day variability in key-hold duration provides information beyond average key-hold duration in Parkinson’s disease (PD) remains unclear. We tested whether within-person variability in daily key-hold duration was associated with a one-time self-reported PD Impact category. Methods We reconstructed the public Tappy dataset from raw keystroke files. The primary phenotype was the within-person coefficient of variation (CV) of daily mean key-hold duration. Ordinal-trend and categorical Impact parameterizations were treated as parallel primary analyses. Secondary and exploratory analyses evaluated alternative variability measures, timing-filter thresholds, observation density, robust daily summaries, approximate disease duration, and unequal precision of daily means. Participant-day location-scale models used both a conventional finite-keystroke sampling-variance approximation and a session/block-aware alternative; participant-cluster bootstrap inference used 2,000 replicates. Results Quality control retained 8,999,669 keystrokes and 5,490 valid participant-days. The complete-case analysis included 73 participants with PD (33 Mild, 30 Medium, and 10 Severe). Each one-category increase in self-reported PD Impact was associated with a 32.4% higher day-to-day CV (ratio, 1.32; 95% CI, 1.13–1.55; P < 0.001). In the categorical parameterization, ratios were 1.38 for Medium versus Mild and 1.70 for Severe versus Mild (overall robust Wald P = 0.001). Estimates were essentially unchanged with 1,000- or 1,500-ms timing limits and a hold-duration-only filter. Daily-median CV remained associated with Impact (ratio, 1.30; 95% CI, 1.08–1.56; P = 0.005). Among the same 52 participants eligible at 500 keystrokes/day, the ratio was 1.25 using the 100-keystroke definition and 1.20 using the 500-keystroke definition. In 72 participants contributing 3,193 participant-days, the session/block-aware location-scale model estimated a 1.62-fold higher latent residual SD per Impact category (2,000-replicate participant-cluster bootstrap 95% CI, 1.20–1.98). Conclusion Greater self-reported PD Impact was associated with higher within-person variability in naturalistic key-hold duration. This cross-sectional association identifies day-to-day variability as a candidate feature for passive fine-motor assessment. Prospective validation against repeated clinical outcomes and independent naturalistic cohorts is needed.

Frontiers in Aging NeuroscienceVol. 18
Chinese PLA General Hospital (CN), Hangzhou Dianzi University (CN)
Good health and well-being
Openalex Percentile: Top 14%
Parkinson's Disease Mechanisms and Treatments
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