Department of Biomedical Engineering, Hanyang University, Seoul, 04763, South Korea.
Kumoh National Institute of Technology, Department of Medical IT Convergence Engineering, Gumi, 38530, South Korea.
J Neuroeng Rehabil. 2018 Mar 23;15(1):27. doi: 10.1186/s12984-018-0365-z.
Functional near infrared spectroscopy (fNIRS) finds extended applications in a variety of neuroscience fields. We investigated the potential of fNIRS to monitor voluntary engagement of users during neurorehabilitation, especially during combinatory exercise (CE) that simultaneously uses both, passive and active exercises. Although the CE approach can enhance neurorehabilitation outcome, compared to the conventional passive or active exercise strategies, the active engagement of patients in active motor movements during CE is not known.
We determined hemodynamic responses induced by passive exercise and CE to evaluate the active involvement of users during CEs using fNIRS. In this preliminary study, hemodynamic responses of eight healthy subjects during three different tasks (passive exercise alone, passive exercise with motor imagery, and passive exercise with active motor execution) were recorded. On obtaining statistically significant differences, we classified the hemodynamic responses induced by passive exercise and CEs to determine the identification accuracy of the voluntary engagement of users using fNIRS.
Stronger and broader activation around the sensorimotor cortex was observed during CEs, compared to that during passive exercise. Moreover, pattern classification results revealed more than 80% accuracy.
Our preliminary study demonstrated that fNIRS can be potentially used to assess the engagement of users of the combinatory neurorehabilitation strategy.
功能性近红外光谱（fNIRS）在各种神经科学领域得到了广泛的应用。我们研究了 fNIRS 监测神经康复过程中使用者主动参与的潜力，特别是在同时使用被动和主动运动的组合运动（CE）中。虽然 CE 方法可以提高神经康复的效果，但与传统的被动或主动运动策略相比，目前尚不清楚患者在 CE 期间主动参与主动运动的情况。
我们通过 fNIRS 确定被动运动和 CE 引起的血液动力学反应，以评估使用者在 CE 期间的主动参与度。在这项初步研究中，记录了 8 名健康受试者在三种不同任务（单独被动运动、被动运动伴运动想象、被动运动伴主动运动执行）期间的血液动力学反应。在获得有统计学意义的差异后，我们对被动运动和 CE 引起的血液动力学反应进行分类，以确定使用 fNIRS 识别使用者主动参与的准确性。
与被动运动相比，CE 期间在感觉运动皮层周围观察到更强、更广泛的激活。此外，模式分类结果显示准确率超过 80%。
我们的初步研究表明，fNIRS 可以潜在地用于评估组合神经康复策略使用者的参与度。
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