Mayer waves reduce the accuracy of estimated hemodynamic response functions in functional near-infrared spectroscopy
Mayer waves reduce the accuracy of estimated hemodynamic response functions in functional near-infrared spectroscopy
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DOI：
10.1364/boe.7.003078
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发表时间：
2016-08-01
影响因子：
3.4
通讯作者：
Boas, David A.
中科院分区：
文献类型：
--
作者：
Yucel, Meryem A.;Selb, Juliette;Boas, David A.
脑血流动力学分析显示振荡频谱宽，范围从0.0095到2hz。虽然在分析功能性近红外光谱（fNIRS）信号时，当估计刺激引起的血流动力学反应时，大多数这些振荡可以过滤掉，但0.1 Hz左右的振荡是一个例外。这是因为它们与来自大脑的典型刺激引起的血流动力学反应具有共同的光谱范围。本文研究了0.1 Hz左右的血流动力学振荡对fNIRS数据估计血流动力学响应函数的影响。我们的研究结果表明，对于氧合血红蛋白浓度（HbO）类似于1 μ M的预期响应，与1 μ M相似的振幅>在0.1 Hz的Mayer波振荡降低了估计响应的准确性，与真实HRF相比，均方误差增加了3倍，相关性降低（R-2低于0.78）。这些结果表明，0.1 Hz的振荡幅度可以作为期望HRF估计精度的客观度量。此外，我们还研究了短分离回归对恢复的HRF的影响，发现当fNIRS数据中存在0.1 Hz的大振幅振荡时，短分离回归提高了恢复的HRF。我们怀疑其他过滤策略的发展可能会提供进一步的改进。(C) 2016年美国光学学会
Analysis of cerebral hemodynamics reveals a wide spectrum of oscillations ranging from 0.0095 to 2 Hz. While most of these oscillations can be filtered out during analysis of functional near-infrared spectroscopy (fNIRS) signals when estimating stimulus evoked hemodynamic responses, oscillations around 0.1 Hz are an exception. This is due to the fact that they share a common spectral range with typical stimulus evoked hemodynamic responses from the brain. Here we investigate the effect of hemodynamic oscillations around 0.1 Hz on the estimation of hemodynamic response functions from fNIRS data. Our results show that for an expected response of similar to 1 mu M in oxygenated hemoglobin concentration (HbO), Mayer wave oscillations with an amplitude > similar to 1 mu M at 0.1 Hz reduce the accuracy of the estimated response as quantified by a 3 fold increase in the mean squared error and decrease in correlation (R-2 below 0.78) when compared to the true HRF. These results indicate that the amplitude of oscillations at 0.1 Hz can serve as an objective metric of the expected HRF estimation accuracy. In addition, we investigated the effect of short separation regression on the recovered HRF, and found that this improves the recovered HRF when large amplitude 0.1 Hz oscillations are present in fNIRS data. We suspect that the development of other filtering strategies may provide even further improvement. (C) 2016 Optical Society of America