The Influence of Physiological Noise Correction on Test-Retest Reliability of Resting-State Functional Connectivity
The Influence of Physiological Noise Correction on Test-Retest Reliability of Resting-State Functional Connectivity
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DOI：
10.1089/brain.2014.0284
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发表时间：
2014-09-01
影响因子：
3.4
通讯作者：
Prabhakaran, Vivek
中科院分区：
文献类型：
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作者：
Birn, Rasmus M.;Cornejo, Maria Daniela;Prabhakaran, Vivek
静息态功能连接性MRI（rs-fcMRI）的实用性和成功关键取决于该技术的可靠性以及它准确反映神经元功能的程度。一个挑战是rs-fcMRI受到各种噪声源的影响，特别是心脏和心脏相关的信号变化。本研究的目的是评估各种生理噪声校正技术的影响，特别是那些使用独立的心脏和呼吸措施，对rs-fcMRI的重测信度。一组25名受试者分别在三个时间点进行扫描，两个时间点在同一成像过程中，另一个时间点在2-3个月后。生理噪声校正占显着的方差，特别是在血管，矢状窦，脑脊液，和灰质。由这些校正解释的方差的分数在会话之间的受试者内是高度相似的，但是受试者之间是可变的。生理校正普遍降低了受试者内（会话之间）的变异性，但也显着降低了受试者间的变异性，从而降低了估计功能连接的个体差异的重测信度。然而，基于心脏搏动和呼吸可导致MRI信号变化的已知非神经元机制，以及生理噪声本身在个体内高度稳定的观察结果，去除该噪声可能会增加测量的连接差异的有效性。此外，去除这些波动将导致更好地估计平均或组连通性图。因此，建议研究应用生理噪声校正，但也要注意与感兴趣的测量的潜在相关性。
The utility and success of resting-state functional connectivity MRI (rs-fcMRI) depend critically on the reliability of this technique and the extent to which it accurately reflects neuronal function. One challenge is that rs-fcMRI is influenced by various sources of noise, particularly cardiac- and respiratory-related signal variations. The goal of the current study was to evaluate the impact of various physiological noise correction techniques, specifically those that use independent cardiac and respiration measures, on the test-retest reliability of rs-fcMRI. A group of 25 subjects were each scanned at three time points-two within the same imaging session and another 2-3 months later. Physiological noise corrections accounted for significant variance, particularly in blood vessels, sagittal sinus, cerebrospinal fluid, and gray matter. The fraction of variance explained by each of these corrections was highly similar within subjects between sessions, but variable between subjects. Physiological corrections generally reduced intrasubject (between-session) variability, but also significantly reduced intersubject variability, and thus reduced the test-retest reliability of estimating individual differences in functional connectivity. However, based on known nonneuronal mechanisms by which cardiac pulsation and respiration can lead to MRI signal changes, and the observation that the physiological noise itself is highly stable within individuals, removal of this noise will likely increase the validity of measured connectivity differences. Furthermore, removal of these fluctuations will lead to better estimates of average or group maps of connectivity. It is therefore recommended that studies apply physiological noise corrections but also be mindful of potential correlations with measures of interest.