Converging evidence indicates that the heterogeneity of cognitive profiles may arise through detectable alternations in brain functions. Particularly, brain functional connectivity, measured under resting and cognitive states, characterizes the unique neuronal interconnections across large-scale brain networks. Despite an unprecedented opportunity to uncover neurobiological subtypes through clustering or subtyping analyses on multi-state functional connectivity, few existing approaches are applicable here to accommodate the network topology and unique biological architecture of functional connectivity. To address this issue, we propose an innovative Bayesian nonparametric network-variate clustering analysis to uncover subgroups with homogeneous brain functional network patterns integrating different cognitive states. In light of the existing neuroscience literature, we assume there are unknown state-specific modular structures within functional connectivity and simultaneously impose selection to identify informative network features for defining subtypes within unsupervised learning. To further facilitate practical use, we develop a computationally efficient variational inference algorithm to perform posterior inference with satisfactory estimation accuracy. Extensive simulations show the superior clustering accuracy and plausible result of our method. Applying the method to the landmark Adolescent Brain Cognitive Development (ABCD) study, we successfully establish neurodevelopmental subtypes linked with impulsivity related behavior trait, and identify brain sub-network phenotypes under each state to signal neurobiological heterogeneity.
翻译:趋同的证据表明,认知剖面的异质可能通过大脑功能的可探测交替出现。 特别是,在休息和认知状态下测量的大脑功能连接,是大规模大脑网络之间独特的神经神经内联结的特点。 尽管有前所未有的机会通过对多州功能连通的集群或亚型分析发现神经生物亚型,但几乎没有什么现有办法可在此适用,以容纳网络地形学和功能连通的独特生物结构。为了解决这个问题,我们提议进行创新的贝叶西亚非对称网络变异性网络分析,以发现具有单一脑功能网络模式的分组,这些分组将不同的认知状态结合起来。根据现有的神经科学文献,我们假设在功能连通性中存在未知的州特有的模块结构结构结构结构,同时规定在非超强的学习中确定亚型定义亚型信息网络特征。为了进一步便利实际使用,我们开发了高效的变异性推算算算算法,以令人满意的估计准确度进行后推推算。 广泛的模拟显示我们的方法的高级组合准确性和合理结果。 将这种方法应用到具有标志性特征的青春期脑内科内型发展(AB机型)和与每一型神经型的神经研究所研究所相关研究,我们成功地研究中,我们成功地确定了。