Neuromuscular Research Lab, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal; Hospital da Ordem Terceira Chiado, Lisbon, Portugal.
Department of Bioengineering, George Mason University, Fairfax, VA, USA; School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, UK.
Gait Posture. 2022 Jul;96:351-356. doi: 10.1016/j.gaitpost.2022.06.015. Epub 2022 Jul 3.
Incorporating variability within gait rehabilitation offers a promising approach to restore functional capacity. However, it's success requires adequate synchronization, a parameter that lacks report in most of the literature regarding cued gait training.
How changes to synchronization performance during fractal-like and isochronous cueing impacts gait variability measures?
We asked twelve young male participants to walk in synchronization to two different temporally structure cueing (isochronous [ISO] and fractal [FRC]). We have also manipulated the cueing's tempo by increasing and decreasing it by 5% to manipulate synchronization, resulting in six conditions (stimuli [ISO,FRC] x tempo [SLOW, NORMAL, FAST]). The normal condition was set from an uncued trial through the participant's self-paced stride time. Synchronization performance (ASYNC) and gait variability (fractal scaling and coefficient of variation) were calculated from stride time data ( -ISIs,CV-ISIs). Repeated measures analysis of variance or Aligned Rank Transform were conducted to determine significant differences between metronome tempo and stimuli for the dependent variables RESULTS: Our results showed a FAST tempo decreases synchronization performance (ASYNC) and leads to lower -ISIs, for both ISO and FRC stimuli. This indicates that when an individual exhibits poor synchronization during cued gait training, his/her gait variability patterns will not follow the temporal structure of the presented metronome. Specifically, if the individual poorly synchronizes to the cues, the gait patterns become more random, a condition typically observed in older adults and neurological patients, which runs contrary to the hypothesis when using fractal-like metronomes.
This study provides supporting evidence that measuring synchronization performance in cued training is fundamental for a proper clinical interpretation of its effects. This is particularly relevant for the recent and ongoing clinical research using fractal-like metronomes since the expected gait patterns are dependent on the synchronization performance. Randomized control trials must incorporate synchronization performance related measures.
在步态康复中纳入变异性为恢复功能能力提供了一个很有前途的方法。然而,它的成功需要充分的同步,这是大多数关于提示步态训练的文献中缺乏报告的参数。
在分形和等时提示下,同步性能的变化如何影响步态变异性测量?
我们要求 12 名年轻男性参与者在两种不同的时间结构提示(等时[ISO]和分形[FRC])下进行同步行走。我们还通过增加或减少 5%来操纵提示的节奏,以操纵同步,从而产生六种条件(刺激[ISO,FRC]x 节奏[SLOW,NORMAL,FAST])。正常条件是通过参与者的自我调节步幅时间从无提示试验中设置的。从步幅时间数据中计算同步性能(ASYNC)和步态变异性(分形缩放和变异系数)(-ISIs,CV-ISIs)。重复测量方差分析或对齐秩变换用于确定时基节奏和刺激对因变量的显著差异
我们的结果表明,快速节奏会降低同步性能(ASYNC),并导致 ISO 和 FRC 刺激的 -ISIs 降低。这表明,当个体在提示步态训练中表现出较差的同步性时,他/她的步态变异性模式将不会遵循呈现的节拍器的时间结构。具体来说,如果个体不能很好地与提示同步,那么步态模式会变得更加随机,这种情况通常在老年人和神经科患者中观察到,与使用分形节拍器时的假设相反。
这项研究提供了支持性证据,表明在提示训练中测量同步性能对于正确解释其效果至关重要。这对于最近和正在进行的使用分形节拍器的临床研究尤为重要,因为预期的步态模式取决于同步性能。随机对照试验必须纳入与同步性能相关的测量。