Comparison of short-channel separation and spatial domain filtering for removal of non-neural components in functional near-infrared spectroscopy signals.
Comparison of short-channel separation and spatial domain filtering for removal of non-neural components in functional near-infrared spectroscopy signals.
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DOI：
10.1117/1.nph.8.1.015004
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发表时间：
2021-01
期刊：
影响因子：
5.3
通讯作者：
Hirsch J
中科院分区：
文献类型：
--
作者：
Noah JA;Zhang X;Dravida S;DiCocco C;Suzuki T;Aslin RN;Tachtsidis I;Hirsch J
意义：随着功能近红外光谱（fNIRS）的日益普及，确定信号来源定位和性质的需求越来越大。目的：我们比较了手指-拇指敲击任务中非神经信号的去除策略，这显示了对侧运动皮层的反应，而视觉棋盘观看任务则在枕叶内产生活动。方法：我们将使用短通道分离的时间回归策略与空间主成分（PC）滤波器进行比较，该滤波器去除所有通道中存在的全局信号。对于短通道时间回归，我们比较了从短通道的广泛分布到额头上的有限分布的非神经信号去除使用第一和联合第一和第二pc。结果：广泛分布的短通道的非神经信息的时间回归与仅前额分布的时间回归没有差异。空间PC滤波提供了类似于使用时域的短信道分离的结果。同时利用来自短信道的第一和第二pc可以去除额外的非神经信息。结论：我们得出的结论是，时域短通道信息和空域回归滤波方法可以从fNIRS信号中去除头皮血流动力学中类似的非神经成分，这两种技术都足以去除非神经成分。
Significance: With the increasing popularity of functional near-infrared spectroscopy (fNIRS), the need to determine localization of the source and nature of the signals has grown. Aim: We compare strategies for removal of non-neural signals for a finger-thumb tapping task, which shows responses in contralateral motor cortex and a visual checkerboard viewing task that produces activity within the occipital lobe. Approach: We compare temporal regression strategies using short-channel separation to a spatial principal component (PC) filter that removes global signals present in all channels. For short-channel temporal regression, we compare non-neural signal removal using first and combined first and second PCs from a broad distribution of short channels to limited distribution on the forehead. Results: Temporal regression of non-neural information from broadly distributed short channels did not differ from forehead-only distribution. Spatial PC filtering provides results similar to short-channel separation using the temporal domain. Utilizing both first and second PCs from short channels removes additional non-neural information. Conclusions: We conclude that short-channel information in the temporal domain and spatial domain regression filtering methods remove similar non-neural components represented in scalp hemodynamics from fNIRS signals and that either technique is sufficient to remove non-neural components.