Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis

Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis
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DOI:
10.1117/1.2814249
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发表时间:
2007-11-01
影响因子:
3.5
通讯作者:
Shimizu, Koji
Shimizu, Koji
中科院分区:
医学3区
文献类型:
--
作者:
Kohno, Satoru;Miyai, Ichiro;Shimizu, Koji

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我们研究功能性近红外光谱 (fNIRS) 信号是否包含来自皮肤血流变化的信号。在跑步机上执行运动任务期间,使用 fNIRS 成像系统和激光多普勒组织血流量计同时记录健康受试者前顶叶区域血流动力学响应的变化。对 fNIRS 信号进行独立分量分析 (ICA)。在跑步机上进行运动任务时,皮肤血流量会发生变化。由 ICA 分离的成分之一的激活空间分布揭示了 fNIRS 通道的整体增加。为了评估激活空间分布的均匀性,我们定义了一个新的统计值——空间均匀性系数(CSU)。与其他分量的值(例如,1.41、1.10、0.96、0.61 和 0.58)相比,CSU 值是一个具有高度区分性的值(例如,2.82)。此外,激活的空间分布对应的独立分量信号与激光多普勒组织血流量计测量的皮肤血流量的变化类似。相关系数表明相关性很强。通过消除提取的成分,可以更清楚地显示前运动皮层和内侧体感皮层周围的局部激活区域。 (C) 2007 年光电仪器工程师协会。
We investigate whether the functional near-infrared spectroscopic (fNIRS) signal includes a signal from the changing skin blood flow. During a locomotor task on a treadmill, changes in the hemodynamic response in the front-parietal area of healthy human subjects are simultaneously recorded using an fNIRS imaging system and a laser Doppler tissue blood flow meter. Independent component analysis (ICA) for fNIRS signals is performed. The skin blood flow changes during locomotor tasks on a treadmill. The activated spatial distribution of one of the components separated by ICA reveals an overall increase in fNIRS channels. To evaluate the uniformity of the activated spatial distribution, we define a new statistical value-the coefficient of spatial uniformity (CSU). The CSU value is a highly discriminating value (e. g., 2.82) compared with values of other components (e. g., 1.41, 1.10, 0.96, 0.61, and 0.58). In addition, the independent component signal corresponding to the activated spatial distribution is similar to changes in skin blood flow measured with the laser Doppler tissue blood flow meter. The coefficient of correlation indicates strong correlation. Localized activation areas around the premotor and medial somatosensory cortices are shown more clearly by eliminating the extracted component. (C) 2007 Society of Photo-Optical Instrumentation Engineers.