Comparing test-retest reliability of dynamic functional connectivity methods.
Comparing test-retest reliability of dynamic functional connectivity methods.
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DOI：
10.1016/j.neuroimage.2017.07.005
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发表时间：
2017-09
期刊：
影响因子：
5.7
通讯作者：
Lindquist MA
中科院分区：
文献类型：
--
作者：
Choe AS;Nebel MB;Barber AD;Cohen JR;Xu Y;Pekar JJ;Caffo B;Lindquist MA
由于大脑活动的动态性，依赖性的性质，在估计静止状态功能磁共振成像（RS-FMRI）期间发生的快速功能连通性（FC）的兴趣最近飙升。 ，由于fMRI中的血氧水平（BOLD）信号的信噪比低，并且在分析过程中产生的大量数据点。为了建立最大化可靠性的方法和摘要测量，并在本研究中提供了对大脑功能的洞察力。滑动窗口（TSW）和动态条件相关（DCC）方法。评估了两类动态FC摘要测量值的多模式MRI可重复性资源（Kirby数据）和人类连接项目（HCP数据）。 - FC的大脑模式（“大脑状态”）。 DCC方法在摘要统计的可靠性方面优于SW方法。比使用非参数估计方法得出的可靠性更为重要。因此，可以在动态FC中找到有意义的个体差异。
Due to the dynamic, condition-dependent nature of brain activity, interest in estimating rapid functional connectivity (FC) changes that occur during resting-state functional magnetic resonance imaging (rs-fMRI) has recently soared. However, studying dynamic FC is methodologically challenging, due to the low signal-to-noise ratio of the blood oxygen level dependent (BOLD) signal in fMRI and the massive number of data points generated during the analysis. Thus, it is important to establish methods and summary measures that maximize reliability and the utility of dynamic FC to provide insight into brain function. In this study, we investigated the reliability of dynamic FC summary measures derived using three commonly used estimation methods - sliding window (SW), tapered sliding window (TSW), and dynamic conditional correlations (DCC) methods. We applied each of these techniques to two publicly available rs-fMRI test-retest data sets - the Multi-Modal MRI Reproducibility Resource (Kirby Data) and the Human Connectome Project (HCP Data). The reliability of two categories of dynamic FC summary measures were assessed, specifically basic summary statistics of the dynamic correlations and summary measures derived from recurring whole-brain patterns of FC (“brain states”). The results provide evidence that dynamic correlations are reliably detected in both test-retest data sets, and the DCC method outperforms SW methods in terms of the reliability of summary statistics. However, across all estimation methods, reliability of the brain state-derived measures was low. Notably, the results also show that the DCC-derived dynamic correlation variances are significantly more reliable than those derived using the non-parametric estimation methods. This is important, as the fluctuations of dynamic FC (i.e., its variance) has a strong potential to provide summary measures that can be used to find meaningful individual differences in dynamic FC. We therefore conclude that utilizing the variance of the dynamic connectivity is an important component in any dynamic FC-derived summary measure.
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影响因子：
6.1
作者：
ENGLE, RF
通讯作者：
ENGLE, RF
影响因子：
3.7
作者：
Allen, Elena A.;Damaraju, Eswar;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.
影响因子：
3.3
作者：
De Martino F;Moerel M;Ugurbil K;Formisano E;Yacoub E
通讯作者：
Yacoub E
影响因子：
16.2
作者：
Calhoun, Vince D.;Miller, Robyn;Pearlson, Godfrey;Adali, Tulay
通讯作者：
Adali, Tulay
DOI：
10.1073/pnas.1018985108
发表时间：
2011-05-03
影响因子：
11.1
作者：
Bassett, Danielle S.;Wymbs, Nicholas F.;Grafton, Scott T.
通讯作者：
Grafton, Scott T.