中风后患者进行运动想象时测量生理参数的挑战。

The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke.

作者信息

Gäumann Szabina, Aksöz Efe Anil, Behrendt Frank, Wandel Jasmin, Cappelletti Letizia, Krug Annika, Mörder Daniel, Bill Annika, Parmar Katrin, Gerth Hans Ulrich, Bonati Leo H, Schuster-Amft Corina

机构信息

Department of Research, Reha Rheinfelden, Rheinfelden, Switzerland.

School of Engineering and Information Technology, Bern University of Applied Sciences, Biel, Switzerland.

出版信息

Front Neurosci. 2023 Jul 31;17:1225440. doi: 10.3389/fnins.2023.1225440. eCollection 2023.

INTRODUCTION

It is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution (PE) of a clinically relevant unilateral upper limb movement task of the patients' affected body side.

METHODS

In total, 21 PaS fulfilled the MI ability evaluation [Kinaesthetic and Visual Imagery Questionnaire (KVIQ-10), body rotation task (BRT), and mental chronometry task (MC)]. During the experiment, PaS moved a cup to distinct fields while wearing smart eyeglasses (SE) with electrooculography electrodes integrated into the nose pads and electrodes for conventional electrooculography (EOG). To verify MI engagement, heart rate (HR) and oxygen saturation (SpO) were recorded, simultaneously with electroencephalography (EEG). Eye movements were recorded during MI, PE, and rest in two measurement sessions to compare the SE performance between conditions and SE's psychometric properties.

RESULTS

MI and PE correlation of SE signals varied between = 0.12 and = 0.76. Validity (cross-correlation with EOG signals) was calculated for MI ( = 0.53) and PE ( = 0.57). The SE showed moderate test-retest reliability (intraclass correlation coefficient) with = 0.51 (95% CI 0.26-0.80) for MI and with = 0.53 (95% CI 0.29 - 0.76) for PE. Event-related desynchronization and event-related synchronization changes of EEG showed a large variability. HR and SpO recordings showed similar values during MI and PE. The linear mixed model to examine HR and SpO between conditions (MI, PE, rest) revealed a significant difference in HR between rest and MI, and between rest and PE but not for SpO. A Pearson correlation between MI ability assessments (KVIQ, BRT, MC) and physiological parameters showed no association between MI ability and HR and SpO.

CONCLUSION

The objective assessment of MI engagement in PaS remains challenging in clinical settings. However, HR was confirmed as a reliable parameter to assess MI engagement in PaS. Eye movements measured with the SE during MI did not resemble those during PE, which is presumably due to the demanding task. A re-evaluation with task adaptation is suggested.

引言

有人提出，眼动记录可作为运动想象（MI）参与度的一种客观评估方法。我们的研究旨在评估中风后患者（PaS）与患者患侧身体临床上相关的单侧上肢运动任务的实际执行（PE）相比的运动想象参与度。

方法

共有21名中风后患者完成了运动想象能力评估[动觉和视觉想象问卷（KVIQ - 10）、身体旋转任务（BRT）和心理计时任务（MC）]。在实验过程中，中风后患者佩戴集成了眼电图电极的智能眼镜（SE），该电极集成在鼻托中，同时还佩戴传统眼电图（EOG）电极，将一个杯子移动到不同区域。为了验证运动想象参与度，记录心率（HR）和血氧饱和度（SpO），同时记录脑电图（EEG）。在两个测量阶段的运动想象、实际执行和休息期间记录眼动，以比较不同条件下的智能眼镜性能以及智能眼镜的心理测量特性。

结果

智能眼镜信号的运动想象和实际执行相关性在= 0.12至= 0.76之间变化。计算了运动想象（= 0.53）和实际执行（= 0.57）与眼电图信号的交叉相关性的有效性。智能眼镜在运动想象方面显示出中等的重测信度（组内相关系数），运动想象时= 0.51（95% CI 0.26 - 0.80），实际执行时= 0.53（95% CI 0.29 - 0.76）。脑电图的事件相关去同步化和事件相关同步化变化显示出很大的变异性。心率和血氧饱和度记录在运动想象和实际执行期间显示出相似的值。用于检查不同条件（运动想象、实际执行、休息）之间心率和血氧饱和度的线性混合模型显示，休息与运动想象之间以及休息与实际执行之间的心率存在显著差异，但血氧饱和度无差异。运动想象能力评估（KVIQ、BRT、MC）与生理参数之间的皮尔逊相关性显示，运动想象能力与心率和血氧饱和度之间无关联。