Comparison of peripheral near-infrared spectroscopy low-frequency oscillations to other denoising methods in resting state functional MRI with ultrahigh temporal resolution.
Comparison of peripheral near-infrared spectroscopy low-frequency oscillations to other denoising methods in resting state functional MRI with ultrahigh temporal resolution.
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DOI：
10.1002/mrm.26038
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发表时间：
2016-12
影响因子：
3.3
通讯作者：
de B Frederick B
中科院分区：
文献类型：
--
作者：
Hocke LM;Tong Y;Lindsey KP;de B Frederick B
功能磁共振成像（fMRI）血氧水平依赖（BOLD）信号不仅来自神经元激活，也来自非神经元生理过程。这些变化，特别是在低频域（0.01-0.2 Hz），可以显著混淆对神经元过程的推断。有效识别这些令人讨厌的低频振荡（lfo）是至关重要的。采用高时间分辨率（TR~0.5 s） fMRI静息状态研究，同时进行生理测量，比较近红外光谱（NIRS）直接测量外周LFOs和三种根据呼吸或心脏信号模拟LFOs的方法：1)每次呼吸量（RVT）， 2)呼吸变异（RVRRF）和3)心脏变异法（HRCRF）。比较了这些方法得到的LFO噪声回归量在时间和空间上的降噪效果。方法之间的时间和空间相关性不高。两种NIRS lfo组合解释了13%以上的BOLD信号方差，并且解释的方差等于或大于HRCRF和RVRRF或RVT组合（16名参与者中的14名）。使用近红外光谱（NIRS）收集的外周lfo包含BOLD fMRI中lfo的独特时空信息，而这些信息在当前的呼吸和心脏搏动低频去噪方法中是不包含的。
Functional MRI (fMRI) blood-oxygen level dependent (BOLD) signals result not only from neuronal activation, but also from non-neuronal physiological processes. These changes, especially in the low frequency domain (0.01-0.2 Hz), can significantly confound inferences about neuronal processes. It is crucial to effectively identify these nuisance low frequency oscillations (LFOs). A high temporal resolution (TR~0.5 s) fMRI resting state study was conducted with simultaneous physiological measurements to compare LFOs measured directly by near-infrared spectroscopy (NIRS) in the periphery and three methods that model LFOs from respiration or cardiac signal: 1) the respiration volume per time (RVT), 2) the respiratory variation (RVRRF) and 3) the cardiac variation method (HRCRF). The LFO noise regressors derived from these methods were compared temporally and spatially as well as in their denoising efficiency. Methods were not highly correlated with one another, temporally or spatially. The set of two NIRS LFOs combined explained over 13% of BOLD signal variance and explained equal or more variance than HRCRF and RVRRF or RVT combined (in 14 of 16 participants). LFOs collected using NIRS in the periphery contain distinct temporal and spatial information about the LFOs in BOLD fMRI that is not contained in current low frequency denoising methods derived from respiration and cardiac pulsation.
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在渐进式延迟（Riptide）处理并发fMRI和近红外光谱（NIRS）时，使用回归插值（RIPTIDE）处理时使用回归插值来对BOLD FMRI数据进行生理降解。
影响因子：
5.7
作者：
Frederick, Blaise deB.;Nickerson, Lisa D.;Tong, Yunjie
通讯作者：
Tong, Yunjie
DOI：
10.1073/pnas.1410800111
发表时间：
2014-10-28
影响因子：
11.1
作者：
Du, Congwu;Volkow, Nora D.;Pan, Yingtian
通讯作者：
Pan, Yingtian
影响因子：
4.8
作者：
Birn, Rasmus M.;Murphy, Kevin;Bandettini, Peter A.
通讯作者：
Bandettini, Peter A.
影响因子：
5.7
作者：
Davey, Catherine E.;Grayden, David B.;Johnston, Leigh A.
通讯作者：
Johnston, Leigh A.
影响因子：
5.7
作者：
Obrig, H;Neufang, M;Villringer, A
通讯作者：
Villringer, A