The Effect of Low-Frequency Physiological Correction on the Reproducibility and Specificity of Resting-State fMRI Metrics: Functional Connectivity, ALFF, and ReHo.
The Effect of Low-Frequency Physiological Correction on the Reproducibility and Specificity of Resting-State fMRI Metrics: Functional Connectivity, ALFF, and ReHo.
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DOI：
10.3389/fnins.2017.00546
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发表时间：
2017
影响因子：
4.3
通讯作者：
Chen JJ
中科院分区：
文献类型：
--
作者：
Golestani AM;Kwinta JB;Khatamian YB;Chen JJ
静息态fMRI（rs-fMRI）信号受多种低频生理现象的影响，包括心率（CRV）、心室容积（RVT）和呼气末CO2（PETCO 2）的变化。虽然近年来这些效应已经得到了更好的理解，但它们的校正对rs-fMRI测量质量的影响还有待澄清。本文的目的是研究校正CRV，RVT和PETCO 2对rs-fMRI测量的影响。9名健康受试者进行了重测rs-fMRI采集使用的重复时间（TR）为2秒（长TR）和0.323秒（短TR），并使用8种不同的生理校正策略的数据进行处理。随后，区域均匀性（ReHo），低频波动幅度（ALFF），和静止状态的连接的电机和默认模式的网络计算每个策略。繁殖率是使用类内相关性和骰子系数计算的，而功能连接性测量的准确性是通过网络可分性，灵敏度和特异性来评估的。我们发现：（1）PETCO 2校正后rs-fMRI测量的重现性显著改善;（2）PETCO 2校正后功能网络的可分性增加，但不受RVT和CRV校正的影响;（3）生理校正的效果不依赖于数据采样率;（4）生理过程和校正策略的效果是网络特异性的。我们的研究结果强调了我们对rs-fMRI质量测量的理解的局限性，并强调了使用多种质量测量来确定最佳生理校正策略的重要性。
The resting-state fMRI (rs-fMRI) signal is affected by a variety of low-frequency physiological phenomena, including variations in cardiac-rate (CRV), respiratory-volume (RVT), and end-tidal CO2 (PETCO2). While these effects have become better understood in recent years, the impact that their correction has on the quality of rs-fMRI measurements has yet to be clarified. The objective of this paper is to investigate the effect of correcting for CRV, RVT and PETCO2 on the rs-fMRI measurements. Nine healthy subjects underwent a test-retest rs-fMRI acquisition using repetition times (TRs) of 2 s (long-TR) and 0.323 s (short-TR), and the data were processed using eight different physiological correction strategies. Subsequently, regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF), and resting-state connectivity of the motor and default-mode networks are calculated for each strategy. Reproducibility is calculated using intra-class correlation and the Dice Coefficient, while the accuracy of functional-connectivity measures is assessed through network separability, sensitivity and specificity. We found that: (1) the reproducibility of the rs-fMRI measures improved significantly after correction for PETCO2; (2) separability of functional networks increased after PETCO2 correction but was not affected by RVT and CRV correction; (3) the effect of physiological correction does not depend on the data sampling-rate; (4) the effect of physiological processes and correction strategies is network-specific. Our findings highlight limitations in our understanding of rs-fMRI quality measures, and underscore the importance of using multiple quality measures to determine the optimal physiological correction strategy.
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影响因子：
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