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基于共享脑机制的神经行为症状群的识别。

Identification of neurobehavioural symptom groups based on shared brain mechanisms.

机构信息

Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.

Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany.

出版信息

Nat Hum Behav. 2019 Dec;3(12):1306-1318. doi: 10.1038/s41562-019-0738-8. Epub 2019 Oct 7.

Abstract

Most psychopathological disorders develop in adolescence. The biological basis for this development is poorly understood. To enhance diagnostic characterization and develop improved targeted interventions, it is critical to identify behavioural symptom groups that share neural substrates. We ran analyses to find relationships between behavioural symptoms and neuroimaging measures of brain structure and function in adolescence. We found two symptom groups, consisting of anxiety/depression and executive dysfunction symptoms, respectively, that correlated with distinct sets of brain regions and inter-regional connections, measured by structural and functional neuroimaging modalities. We found that the neural correlates of these symptom groups were present before behavioural symptoms had developed. These neural correlates showed case-control differences in corresponding psychiatric disorders, depression and attention deficit hyperactivity disorder in independent clinical samples. By characterizing behavioural symptom groups based on shared neural mechanisms, our results provide a framework for developing a classification system for psychiatric illness that is based on quantitative neurobehavioural measures.

摘要

大多数精神病理学障碍都在青春期发展。这种发展的生物学基础还了解甚少。为了增强诊断特征并开发出改进的靶向干预措施,关键是要确定具有共同神经基础的行为症状群。我们进行了分析,以发现行为症状与青少年大脑结构和功能的神经影像学测量之间的关系。我们发现了两个症状组,分别由焦虑/抑郁和执行功能障碍症状组成,它们分别与通过结构和功能神经影像学方式测量的不同脑区和区域间连接相关。我们发现,这些症状组的神经相关性在行为症状出现之前就已经存在。在独立的临床样本中,这些神经相关性在相应的精神障碍、抑郁症和注意缺陷多动障碍中存在病例对照差异。通过基于共同神经机制对行为症状群进行特征描述,我们的研究结果为基于定量神经行为测量的精神病分类系统的发展提供了框架。

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