Lee Won Hee, Moser Dominik Andreas, Ing Alex, Doucet Gaelle Eve, Frangou Sophia
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY, 10029, USA.
Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Brain Topogr. 2019 Jan;32(1):80-86. doi: 10.1007/s10548-018-0672-5. Epub 2018 Aug 22.
Metastability is currently considered a fundamental property of the functional configuration of brain networks. The present study sought to generate a normative reference framework for the metastability of the major resting-state networks (RSNs) (resting-state metastability dataset) and discover their association with demographic, behavioral, physical and cognitive features (non-imaging dataset) from 818 participants of the Human Connectome Project. Using sparse canonical correlation analysis, we found that the metastability and non-imaging datasets showed significant but modest interdependency. Notable associations between the metastability variate and the non-imaging features were observed for higher-order cognitive ability and indicators of physical well-being. The intra-class correlation coefficient between the sibling pairs in the sample was very low which argues against a significant familial influence on RSN metastability.
目前，亚稳定性被认为是脑网络功能配置的一个基本属性。本研究旨在为主要静息态网络（RSN）的亚稳定性生成一个规范性参考框架（静息态亚稳定性数据集），并从人类连接组计划的818名参与者中发现其与人口统计学、行为、身体和认知特征（非成像数据集）之间的关联。通过稀疏典型相关分析，我们发现亚稳定性和非成像数据集显示出显著但适度的相互依赖性。在高阶认知能力和身体健康指标方面，观察到亚稳定性变量与非成像特征之间存在显著关联。样本中兄弟姐妹对之间的组内相关系数非常低，这表明家族对RSN亚稳定性没有显著影响。
