Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures
Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures
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DOI：
10.1016/j.neuroimage.2011.08.044
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发表时间：
2012-01-16
期刊：
影响因子：
5.7
通讯作者：
Meyer-Lindenberg, Andreas
中科院分区：
文献类型：
--
作者：
Braun, Urs;Plichta, Michael M.;Meyer-Lindenberg, Andreas
利用图论衍生的神经成像数据和测量来表征脑连接组已成为一种应用于脑成熟、认知功能和神经精神疾病的新方法。为了使该方法广泛应用于临床人群和纵向研究，需要探索该方法的可靠性及其对混杂因素的稳健性。在此，我们研究了33名健康受试者在休息时功能磁共振成像（fMRI）记录的功能网络图指标的重测信度。我们基于解剖-自动标记（AAL）图谱模板构建了无向网络，并从图论领域计算了几种常用的度量，重点研究了不同策略对混淆校正的影响。对于每个主题、方法和会话，我们计算了以下图度量：聚类系数、特征路径长度、局部和全局效率、分类性、模块化、层次结构和小世界标量。使用类内相关系数（ICC）评估每个图度量的信度。根据方法和度量标准，总体icc从低到高（0到0.763）不等。在方法学上，使用更宽的频带（0.008-0.15 Hz）产生最高的可靠性指数（平均ICC = 0.484），其次是使用全局回归（平均ICC = 0.399）。一般来说，这里研究的二级指标（小世界、层次结构、分类性）往往比一级指标更健壮。总之，我们的研究提供了方法学上的建议，这些建议允许使用静态fMRI数据衍生的图形度量来计算足够健壮的网络组织标记。(C) 2011爱思唯尔公司版权所有。
Characterizing the brain connectome using neuroimaging data and measures derived from graph theory emerged as a new approach that has been applied to brain maturation, cognitive function and neuropsychiatric disorders. For a broad application of this method especially for clinical populations and longitudinal studies, the reliability of this approach and its robustness to confounding factors need to be explored. Here we investigated test-retest reliability of graph metrics of functional networks derived from functional magnetic resonance imaging (fMRI) recorded in 33 healthy subjects during rest. We constructed undirected networks based on the Anatomic-Automatic-Labeling (AAL) atlas template and calculated several commonly used measures from the field of graph theory, focusing on the influence of different strategies for confound correction. For each subject, method and session we computed the following graph metrics: clustering coefficient, characteristic path length, local and global efficiency, assortativity, modularity, hierarchy and the small-worldness scalar. Reliability of each graph metric was assessed using the intraclass correlation coefficient (ICC).Overall ICCs ranged from low to high (0 to 0.763) depending on the method and metric. Methodologically, the use of a broader frequency band (0.008-0.15 Hz) yielded highest reliability indices (mean ICC = 0.484), followed by the use of global regression (mean ICC = 0.399). In general, the second order metrics (small-worldness, hierarchy, assortativity) studied here, tended to be more robust than first order metrics.In conclusion, our study provides methodological recommendations which allow the computation of sufficiently robust markers of network organization using graph metrics derived from fMRI data at rest. (C) 2011 Elsevier Inc. All rights reserved.