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Comparison of short-channel separation and spatial domain filtering for removal of non-neural components in functional near-infrared spectroscopy signals
Neurophotonics ( IF 4.8 ) Pub Date : 2021-02-01 , DOI: 10.1117/1.nph.8.1.015004
J Adam Noah 1 , Xian Zhang 1 , Swethasri Dravida 2 , Courtney DiCocco 3 , Tatsuya Suzuki 4, 5 , Richard N Aslin 6, 7 , Ilias Tachtsidis 8 , Joy Hirsch 1, 8, 9, 10
Affiliation  

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.

中文翻译:

短通道分离和空间域滤波去除功能性近红外光谱信号中非神经成分的比较

意义:随着功能性近红外光谱 (fNIRS) 的日益普及,确定信号源定位和性质的需求也在增长。目的:我们比较手指拇指敲击任务的非神经信号去除策略,该任务显示对侧运动皮层的反应和在枕叶内产生活动的视觉棋盘观察任务。方法:我们将使用短通道分离的时间回归策略与去除所有通道中存在的全局信号的​​空间主成分 (PC) 滤波器进行比较。对于短通道时间回归,我们比较了使用第一和组合的第一和第二 PC 的非神经信号去除,从广泛的短通道分布到前额的有限分布。结果:来自广泛分布的短通道的非神经信息的时间回归与仅额头分布没有区别。空间 PC 过滤提供类似于使用时域的短通道分离的结果。利用来自短通道的第一和第二个 PC 去除了额外的非神经信息。结论:我们得出结论,时域和空间域回归滤波方法中的短通道信息从 fNIRS 信号中去除了头皮血流动力学中表示的类似非神经成分,并且任何一种技术都足以去除非神经成分。利用来自短通道的第一和第二个 PC 去除了额外的非神经信息。结论:我们得出结论,时域和空间域回归滤波方法中的短通道信息从 fNIRS 信号中去除了头皮血流动力学中表示的类似非神经成分,并且任何一种技术都足以去除非神经成分。利用来自短通道的第一和第二个 PC 去除了额外的非神经信息。结论:我们得出结论,时域和空间域回归滤波方法中的短通道信息从 fNIRS 信号中去除了头皮血流动力学中表示的类似非神经成分,并且任何一种技术都足以去除非神经成分。
更新日期:2021-02-15
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