Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices.
Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices.
复制标题
DOI：
10.1162/netn_a_00148
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Williams LM
中科院分区：
文献类型：
--
作者：
Tozzi L;Fleming SL;Taylor ZD;Raterink CD;Williams LM
通过使用功能磁共振成像（fMRI）来推导人脑功能的网络表示，无数的研究提高了我们对人脑及其组织的理解。然而，我们不知道这些“功能性连接体”随着时间的推移在多大程度上是可靠的。在连续两天扫描的健康参与者（N = 833）的大型公共样本中，我们评估了fMRI功能连通性的测试-重测可靠性以及分析工作流程中三个常见变异源的可靠性后果：图谱选择、全局信号回归和阈值。通过采用类内相关系数作为度量，我们证明只有一小部分功能连接组具有良好（6-8%）至优异（0.08-0.14%）的可靠性。前额叶、顶叶和颞叶区域之间的连接尤其可靠，但已知网络内的平均连接也具有良好的可靠性。一般来说，虽然不可靠的边缘是弱的，但可靠的边缘不一定是强的。在方法上，不同地图集的边的可靠性不同，全局信号回归降低了网络和大多数边的可靠性（但增加了某些边的可靠性），基于连接强度的阈值降低了可靠性。关注连接组的可靠部分可以帮助量化大脑特征，并利用功能性神经成像研究个体差异。我们量化了连续两天扫描的大量健康参与者（N = 833）的fMRI功能连接的可靠性。我们还评估了图谱选择、全局信号回归和阈值的可靠性。只有一小部分功能连接体具有良好（6-8%）至优异（0.08-0.14%）的可靠性。前额叶、顶叶和颞叶区域之间的连接尤其可靠，已知网络内的平均连接具有良好的可靠性。虽然不可靠的边缘通常是弱的，但可靠的边缘不一定是强的。不同地图集的边的可靠性不同。全局信号回归降低了网络和大多数边缘的可靠性（但增加了某些边缘的可靠性）。基于连接强度的阈值降低了可靠性。专注于连接组的可靠部分，可以利用功能性神经成像技术帮助研究个体差异。
Countless studies have advanced our understanding of the human brain and its organization by using functional magnetic resonance imaging (fMRI) to derive network representations of human brain function. However, we do not know to what extent these “functional connectomes” are reliable over time. In a large public sample of healthy participants (N = 833) scanned on two consecutive days, we assessed the test-retest reliability of fMRI functional connectivity and the consequences on reliability of three common sources of variation in analysis workflows: atlas choice, global signal regression, and thresholding. By adopting the intraclass correlation coefficient as a metric, we demonstrate that only a small portion of the functional connectome is characterized by good (6–8%) to excellent (0.08–0.14%) reliability. Connectivity between prefrontal, parietal, and temporal areas is especially reliable, but also average connectivity within known networks has good reliability. In general, while unreliable edges are weak, reliable edges are not necessarily strong. Methodologically, reliability of edges varies between atlases, global signal regression decreases reliability for networks and most edges (but increases it for some), and thresholding based on connection strength reduces reliability. Focusing on the reliable portion of the connectome could help quantify brain trait-like features and investigate individual differences using functional neuroimaging. We quantified the reliability of fMRI functional connectivity in a large sample of healthy participants (N = 833) scanned over two consecutive days. We also assessed the consequences on reliability of atlas choice, global signal regression and thresholding. Only a small portion of the functional connectome has good (6–8%) to excellent (0.08–0.14%) reliability. Connectivity between prefrontal, parietal and temporal areas is especially reliable and average connectivity within known networks has good reliability. While unreliable edges are generally weak, reliable edges are not necessarily strong. Reliability of edges varies between atlases. Global signal regression decreases reliability for networks and most edges (but increases it for some). Thresholding based on connection strength reduces reliability. Focusing on reliable portions of the connectome could help investigate individual differences using functional neuroimaging.
登录
查看更多内容
人脑网络组图谱：基于连接架构的新大脑图谱
DOI：
10.1093/cercor/bhw157
发表时间：
2016-08
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Fan L;Li H;Zhuo J;Zhang Y;Wang J;Chen L;Yang Z;Chu C;Xie S;Laird AR;Fox PT;Eickhoff SB;Yu C;Jiang T
通讯作者：
Jiang T
影响因子：
4.8
作者：
Adhikari BM;Jahanshad N;Shukla D;Glahn DC;Blangero J;Fox PT;Reynolds RC;Cox RW;Fieremans E;Veraart J;Novikov DS;Nichols TE;Hong LE;Thompson PM;Kochunov P
通讯作者：
Kochunov P
影响因子：
16.6
作者：
Eisenberg, Ian W.;Bissett, Patrick G.;Poldrack, Russell A.
通讯作者：
Poldrack, Russell A.
影响因子：
4.7
作者：
Haller SP;Kircanski K;Stoddard J;White LK;Chen G;Sharif-Askary B;Zhang S;Towbin KE;Pine DS;Leibenluft E;Brotman MA
通讯作者：
Brotman MA
影响因子：
4.7
作者：
Chai, Lucy R.;Khambhati, Ankit N.;Bassett, Danielle S.
通讯作者：
Bassett, Danielle S.