Related papers: Selective Impairment of Motor Recovery from Typing Errors in Parkinson's Disease: A Survival Analysis

Selective Impairment of Motor Recovery from Typing Errors in Parkinson's Disease: A Survival Analysis

URL: http://arxiv.org/abs/2607.24796v1
Date: Tue, 30 Jun 2026 17:29:21 GMT
Title: Selective Impairment of Motor Recovery from Typing Errors in Parkinson's Disease: A Survival Analysis
Abstract summary: We ask whether passively-collected keystroke dynamics can distinguish two of these stages.<n>We find no evidence that pre-error keystroke instability differs by disease severity.<n>Strong evidence that post-error recovery time does, modeled as a continuous accelerated failure time.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Parkinson's disease (PD) affects multiple, dissociable stages of motor and cognitive control. We ask whether passively-collected keystroke dynamics can distinguish two of these stages: noticing a self-generated error (error monitoring) versus recovering normal motor rhythm afterward (motor restart). Using backspace events as naturally-occurring error-correction episodes in the public neuroQWERTY MIT-CSXPD dataset (57 subjects with sufficient backspace data, 27 with PD and UPDRS-III scores), we find no evidence that pre-error keystroke instability differs by disease severity ($r=0.164$, $p=0.413$), but strong evidence that post-error recovery time does, modeled as a continuous accelerated failure time (AFT) survival outcome ($p<10^{-9}$ in each of two independent sub-cohorts; permutation $p<0.0033$; bootstrap 95% CI excluding zero). The two measures are uncorrelated with each other ($r=-0.065$), and in a joint model only post-error recovery remains significant, confirming a genuine dissociation rather than two redundant signals. The effect survives controlling for raw typing speed and replicates against an independent clinical motor test (alternating finger-tapping, $p=0.011$). An initial attempt to model recovery as a discretized time-to-event outcome (analogous to Kaplan-Meier survival curves) destroyed the signal regardless of threshold choice; switching to a continuous AFT formulation, which also fits the data's right-skewed distribution far better than ordinary regression, recovered it. We relate this behavioral dissociation to existing electrophysiological evidence that error detection and post-error motor adjustment in PD are mediated by distinct neural circuits, the former largely spared, the latter linked to subthalamic nucleus activity, and argue that this dissociation is detectable through everyday typing alone.

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