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arXiv 2607.24796q-bio.NCcs.AIcs.LG

帕金森病中打字错误后运动恢复的选择性损伤:生存分析

Backspace as a Natural Experiment: An Accelerated Failure Time Model of Selective Post-Error Motor Impairment in Parkinsons Disease

发表机构伦敦大学学院健康信息学研究所
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  • Institute of Health Informatics, University College London(伦敦大学学院健康信息学研究所)

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中文总结 AI 辅助

研究帕金森病中打字错误后的运动恢复,通过按键动态区分错误监测与运动重启阶段。利用MIT-CSXPD数据集,发现错误前按键不稳定与病情无关,错误后恢复时间有差异,两种测量不相关,连续AFT模型有效,证明可通过日常打字检测该分离。

中文摘要 AI 辅助

帕金森病(PD)会影响运动和认知控制的多个可分离阶段。我们探讨通过被动收集的按键动态能否区分其中两个阶段:察觉自身产生的错误(错误监测)与随后恢复正常运动节奏(运动重启)。在公共神经QWERTY MIT-CSXPD数据集中,以退格事件作为自然发生的纠错情节(57名有足够退格数据的受试者,27名患有PD且有UPDRS-III评分),发现错误前按键不稳定与疾病严重程度无关(r = 0.164,p = 0.413),但错误后恢复时间存在显著差异,将其建模为连续加速失效时间(AFT)生存结果(两个独立子队列中p < 10^-9;置换p < 0.0033;自助法95%置信区间不包括零)。这两种测量相互不相关(r = -0.065),在联合模型中只有错误后恢复仍然显著,证实了真正的分离而非两个冗余信号。该效应在控制原始打字速度后仍然存在,并在独立临床运动测试(交替手指敲击)中得到重复(p = 0.011)。最初将恢复建模为离散事件时间结果(类似于Kaplan-Meier生存曲线)无论阈值如何选择都会破坏信号;切换到连续AFT公式,其比普通回归更能拟合数据的右偏分布,恢复了信号。我们将这种行为分离与现有的电生理证据联系起来,即PD中的错误检测和错误后运动调整由不同神经回路介导,前者基本未受影响,后者与丘脑底核活动有关,并认为这种分离仅通过日常打字即可检测到。

英文摘要

Parkinson's disease (PD) selectively impairs distinct stages of motor control. Using backspace events as natural error-correction episodes in the public neuroQWERTY MIT-CSXPD dataset (n=57 subjects, 27 PD with UPDRS-III scores), we test whether passively-collected keystroke timing dissociates a variability-based pre-error monitoring signal from a speed-based post-error recovery signal. Pre-error typing instability does not track PD severity (r=-0.072, p=0.721), while post-error pause duration does (r=+0.656, p=0.0002; subject-level OLS p=1.2x10^-4, n=27, primary analysis given within-subject event clustering). A mixed-effects log-normal model with a random subject intercept confirms this while retaining full event-level power (coef=0.0250, p=1.2x10^-4, n=1,563 events), closely matching the subject-level OLS despite an unrelated estimation strategy. Error-detection latency also correlates with UPDRS-III (r=+0.660), confirming the dissociation is between variability and speed, not detection and correction per se. A log-normal accelerated failure time model yields a coefficient of 0.0255 (bootstrap 95% CI [0.0146, 0.0357]), a 2.6% increase per UPDRS-III point. After controlling the immediately thecoefficient attenuates to 0.0133 (p=3.1x10^-21),consistent w timingincrement above general bradykinesia. Results reacross both S2:r=+0.645), survive jackknife exclusion of every subject, andnatingfinger-tapping and mPower smartphone tapping (group AUC=0.836). cellent(ICC(2,1)=0.945, n=20).

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