When change is the only constant: The promise of longitudinal neuroimaging in understanding social anxiety disorder.

When change is the only constant: The promise of longitudinal neuroimaging in understanding social anxiety disorder.
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DOI:
10.1016/j.dcn.2018.05.005
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发表时间:
2018-10
影响因子:
4.7
通讯作者:
Cohen Kadosh K
Cohen Kadosh K
中科院分区:
医学1区
文献类型:
--
作者:
Haller SPW;Mills KL;Hartwright CE;David AS;Cohen Kadosh K

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人类的大脑有一个漫长的发展轨迹,并且具有内在的适应性。精神病理学的神经生物学模型在很大程度上缺少动态的、发展的方面。纵向数据是我们理解社交焦虑障碍的关键。纵向成像研究的分析建议。纵向研究为了解发展变化提供了一个独特的窗口。然而,我们对精神疾病的病理生理学的了解大多是基于横断面研究。在这里,我们强调的重要性,采用纵向的方法,以取得进展,确定社交焦虑症(SAD)的神经生物学机制。使用的例子,我们说明了纵向数据可以唯一地通知SAD的病因和干预的时机。大脑固有的适应性要求我们将疾病的风险相关性建模为动态表达。关于环境事件的时间,级联效应和(错误)适应发展中的大脑的发展理论将是全面的,综合性模型的SAD的重要组成部分。最后,我们讨论了纵向,发展数据时的分析考虑。
The human brain has a protracted developmental trajectory and is inherently adaptive. A dynamic, developmental aspect is largely missing from neurobiological models of psychopathology. Longitudinal data are key to progress in our understanding of social anxiety disorder. Analytical recommendations for longitudinal imaging studies are made. 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.
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