Department of Experimental Psychology, University of Oxford, UK.
Department of Psychology, University of Oregon, USA.
Dev Cogn Neurosci. 2018 Oct;33:73-82. doi: 10.1016/j.dcn.2018.05.005. Epub 2018 May 25.
Longitudinal studies offer a unique window into developmental change. Yet, most of what we know about the pathophysiology of psychiatric disorders is based on cross-sectional work. Here, we highlight the importance of adopting a longitudinal approach in order to make progress towards identifying the neurobiological mechanisms of social anxiety disorder (SAD). Using examples, we illustrate how longitudinal data can uniquely inform SAD etiology and timing of interventions. The brain's inherently adaptive quality requires that we model risk correlates of disorders as dynamic in their expression. Developmental theories regarding timing of environmental events, cascading effects and (mal)adaptations of the developing brain will be crucial components of comprehensive, integrative models of SAD. We close by discussing analytical considerations when working with longitudinal, developmental data.
纵向研究为发展变化提供了独特的窗口。然而,我们对精神疾病病理生理学的了解大多基于横断面研究。在这里,我们强调采用纵向方法的重要性,以便在确定社交焦虑症 (SAD) 的神经生物学机制方面取得进展。我们通过示例说明纵向数据如何独特地为 SAD 的病因和干预时间提供信息。大脑固有的适应性要求我们将疾病的风险相关性建模为其表达的动态。关于环境事件发生时间、大脑发育的级联效应和(适应不良)的发展理论将是 SAD 综合、综合模型的关键组成部分。最后,我们讨论了使用纵向、发展数据时的分析注意事项。