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Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study

机译:表层系统干扰的短暂增加及其对与事件相关的运动任务的影响:功能性近红外光谱研究

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Abstract. Functional near-infrared spectroscopy (fNIRS) is a widely utilized neuroimaging tool in fundamental neuroscience research and clinical investigation. Previous research has revealed that task-evoked systemic artifacts mainly originating from the superficial-tissue may preclude the identification of cerebral activation during a given task. We examined the influence of such artifacts on event-related brain activity during a brisk squeezing movement. We estimated task-evoked superficial-tissue hemodynamics from short source–detector distance channels (15 mm) by applying principal component analysis. The estimated superficial-tissue hemodynamics exhibited temporal profiles similar to the canonical cerebral hemodynamic model. Importantly, this task-evoked profile was also observed in data from a block design motor experiment, suggesting a transient increase in superficial-tissue hemodynamics occurs following motor behavior, irrespective of task design. We also confirmed that estimation of event-related cerebral hemodynamics was improved by a simple superficial-tissue hemodynamic artifact removal process using 15-mm short distance channels, compared to the results when no artifact removal was applied. Thus, our results elucidate task design-independent characteristics of superficial-tissue hemodynamics and highlight the need for the application of superficial-tissue hemodynamic artifact removal methods when analyzing fNIRS data obtained during event-related motor tasks.
机译:抽象。功能性近红外光谱(fNIRS)是在基础神经科学研究和临床研究中广泛使用的神经成像工具。先前的研究表明,主要由表层组织引起的任务诱发的系统伪像可能无法识别给定任务中的大脑激活。我们在快速挤压运动期间检查了这些伪影对事件相关的大脑活动的影响。通过应用主成分分析,我们从短距离的源-检测器距离通道(15 mm)估计了任务诱发的浅表组织血流动力学。估计的浅表组织血流动力学表现出与典型脑血流动力学模型相似的时间分布。重要的是,在一项任务设计运动实验的数据中也观察到了这种任务诱发的特征,这表明运动行为后表皮血液动力学的瞬时增加,与任务设计无关。我们还证实,与未应用人工血管去除的结果相比,通过使用15 mm短距离通道的简单表皮血液动力学人工血管去除过程,可以改善与事件相关的脑血流动力学的估计。因此,我们的结果阐明了与任务设计无关的表面组织血流动力学特征,并强调了在分析与事件相关的运动任务过程中获得的fNIRS数据时,需要应用表面组织血流动力学伪影去除方法。

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