Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain.
Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain.
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DOI：
10.3390/e21070661
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发表时间：
2019-07-06
期刊：
影响因子：
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通讯作者：
Toschi N
中科院分区：
文献类型：
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作者：
Conti A;Duggento A;Guerrisi M;Passamonti L;Indovina I;Toschi N
越来越多的研究集中在估计和分析人脑功能连接体的方法上。图论方法通常用于解释和综合复杂网络相关信息。虽然静息状态功能性MRI（rsfMRI）经常用于这种情况下，它是已知的表现出较差的再现性，这是一个关键因素，通常被忽视的典型队列研究使用连接相关的措施作为生物标志物。我们的目的是填补这一空白，通过分析和比较的连接矩阵，以及图形理论的措施，在一个大的（n = 1003）数据库的年轻健康受试者进行了连续四个rsfMRI会议的主体间和主体内的变异。我们分析了有向（格兰杰因果关系和传递熵）和无向（皮尔逊相关性和偏相关性）时间序列关联测度以及相关的全局和局部图论测度。虽然矩阵权重表现出更高的可重复性，在无向，而不是有向的方法，这种差异消失时，在全球图形度量，反过来，表现出强烈的区域依赖性，在本地图形度量。我们的研究结果值得谨慎的连接研究的解释，并作为一个基准，为未来的调查提供定量估计的对象间和对象内的变异性，在有向和无向连接组学的措施。
A growing number of studies are focusing on methods to estimate and analyze the functional connectome of the human brain. Graph theoretical measures are commonly employed to interpret and synthesize complex network-related information. While resting state functional MRI (rsfMRI) is often employed in this context, it is known to exhibit poor reproducibility, a key factor which is commonly neglected in typical cohort studies using connectomics-related measures as biomarkers. We aimed to fill this gap by analyzing and comparing the inter- and intra-subject variability of connectivity matrices, as well as graph-theoretical measures, in a large (n = 1003) database of young healthy subjects which underwent four consecutive rsfMRI sessions. We analyzed both directed (Granger Causality and Transfer Entropy) and undirected (Pearson Correlation and Partial Correlation) time-series association measures and related global and local graph-theoretical measures. While matrix weights exhibit a higher reproducibility in undirected, as opposed to directed, methods, this difference disappears when looking at global graph metrics and, in turn, exhibits strong regional dependence in local graphs metrics. Our results warrant caution in the interpretation of connectivity studies, and serve as a benchmark for future investigations by providing quantitative estimates for the inter- and intra-subject variabilities in both directed and undirected connectomic measures.
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影响因子：
16.2
作者：
Mueller S;Wang D;Fox MD;Yeo BT;Sepulcre J;Sabuncu MR;Shafee R;Lu J;Liu H
通讯作者：
Liu H
一个月内十次重复的静息态脑部扫描揭示了个体差异和重测可靠性
影响因子：
3.7
作者：
Chen B;Xu T;Zhou C;Wang L;Yang N;Wang Z;Dong HM;Yang Z;Zang YF;Zuo XN;Weng XC
通讯作者：
Weng XC
影响因子：
5.7
作者：
Deshpande, Gopikrishna;Sathian, K.;Hu, Xiaoping
通讯作者：
Hu, Xiaoping
影响因子：
4.8
作者：
Gordon, Evan M.;Breeden, Andrew L.;Bean, Stephanie E.;Vaidya, Chandan J.
通讯作者：
Vaidya, Chandan J.
DOI：
10.1038/jcbfm.2014.109
发表时间：
2014-09
期刊：
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
影响因子：
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作者：
通讯作者：
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