A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease
A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease
复制标题
DOI：
10.1097/md.0000000000005934
复制
发表时间：
2017-02-01
期刊：
影响因子：
1.6
通讯作者：
Hu, Bin
中科院分区：
文献类型：
--
作者：
Chomiak, Taylor;Watts, Alexander;Hu, Bin
背景资料：帕金森病（PD）运动自动性的缺陷，特别是在多任务处理期间，是认知功能下降的早期和一致的标志，这增加了跌倒风险并降低了生活质量。本研究旨在测试的可行性和潜在的有效性，可穿戴传感器使能的技术平台，设计了一个在家里的音乐特遣队步到位（SIP）的培训计划，以提高步骤自动性在双任务（DT）。方法：这是一个为期4周的前瞻性干预试点研究。干预使用传感器系统和算法，该算法运行在iPod Touch上，可实时计算步高（SH）。然后，这些测量值用于在维持重复的大幅度步进时通过无线耳机实时触发听觉（治疗组，音乐;对照组，无线电播客）回放。随着小步或洗牌，听觉回放停止，从而允许参与者使用预期的运动控制来重新获得积极的反馈。从一项正在进行的试验（试验编号：ISRCTN 06023392）中招募了11例受试者。结果：虽然我们没有发现训练对FES-I，莫卡或FOG-Q的显著影响，但我们确实观察到一个显著的组（音乐与播客）在DT步骤自动性方面的训练交互作用（P
Background: Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT).Methods: This was a 4-week prospective intervention pilot study. The intervention uses a sensor system and algorithm that runs off the iPod Touch which calculates step height (SH) in real-time. These measurements were then used to trigger auditory (treatment group, music; control group, radio podcast) playback in real-time through wireless headphones upon maintenance of repeated large amplitude stepping. With small steps or shuffling, auditory playback stops, thus allowing participants to use anticipatory motor control to regain positive feedback. Eleven participants were recruited from an ongoing trial (Trial Number: ISRCTN06023392). Fear of falling (FES-I), general cognitive functioning (MoCA), self-reported freezing of gait (FOG-Q), and DT step automaticity were evaluated.Results: While we found no significant effect of training on FES-I, MoCA, or FOG-Q, we did observe a significant group (music vs podcast) by training interaction in DT step automaticity (P