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Tracking the Development of Brain Connectivity in Adolescence through a Fast Bayesian Integrative Method

机译：通过快速贝叶斯积分方法跟踪青春期大脑连接性的发展

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Adolescence is a transitional period between childhood and adulthood with physical changes, as well as increasing emotional activity. Studies have shown that the emotional sensitivity is related to a second dramatical brain growth. However, there is little focus on the trend of brain development during this period. In this paper, we aim to track the functional brain connectivity development in adolescence using resting state fMRl (rs-fMRI), which amounts to a time-series analysis problem. Most existing methods either require the time point to be fairly long or are only applicable to small graphs. To this end, we adapted a fast Bayesian integrative analysis (FBIA) to address the short time-series difficulty, and combined with adaptive sum of powered score (aSPU) test for group difference. The data we used are the resting state fMRl (rs-fMRI) obtained from the publicly available Philadelphia Neurodevelopmental Cohort (PNC). They include 861 individuals aged 8-22 years who were divided into five different adolescent stages. We summarized the networks with global measurements: segregation and integration, and provided full brain functional connectivity pattern in various stages of adolescence. Moreover, our research revealed several brain functional modules development trends. Our results are shown to be both statistically and biologically significant.
机译：青春期是从童年到成年的过渡期，身体发生变化，同时情绪活动增加。研究表明，情绪敏感性与大脑第二次剧烈发育有关。但是，在此期间，人们很少关注大脑发育的趋势。在本文中，我们旨在利用静止状态fMRl（rs-fMRI）跟踪青春期功能性大脑的连接性发展，这相当于一个时序分析问题。大多数现有方法要么要求时间点相当长，要么仅适用于小型图形。为此，我们采用了快速贝叶斯综合分析（FBIA）来解决短时间序列的难题，并结合了适应性强力评分（aSPU）检验来解决群体差异。我们使用的数据是从可公开获得的费城神经发育队列（PNC）获得的静止状态fMR1（rs-fMRI）。其中包括861位8-22岁的人，他们分为五个不同的青春期。我们用全局度量总结了网络：隔离和整合，并在青春期的各个阶段提供了完整的大脑功能连接模式。此外，我们的研究揭示了几种大脑功能模块的发展趋势。我们的结果显示具有统计学和生物学意义。

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