Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway.
Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway.
Dev Cogn Neurosci. 2023 Aug;62:101271. doi: 10.1016/j.dcn.2023.101271. Epub 2023 Jun 19.
The interplay between functional brain network maturation and psychopathology during development remains elusive. To establish the structure of psychopathology and its neurobiological mechanisms, mapping of both shared and unique functional connectivity patterns across developmental clinical populations is needed. We investigated shared associations between resting-state functional connectivity and psychopathology in children and adolescents aged 5-21 (n = 1689). Specifically, we used partial least squares (PLS) to identify latent variables (LV) between connectivity and both symptom scores and diagnostic information. We also investigated associations between connectivity and each diagnosis specifically, controlling for other diagnosis categories. PLS identified five significant LVs between connectivity and symptoms, mapping onto the psychopathology hierarchy. The first LV resembled a general psychopathology factor, followed by dimensions of internalising- externalising, neurodevelopment, somatic complaints, and thought problems. Another PLS with diagnostic data revealed one significant LV, resembling a cross-diagnostic case-control pattern. The diagnosis-specific PLS identified a unique connectivity pattern for autism spectrum disorder (ASD). All LVs were associated with distinct patterns of functional connectivity. These dimensions largely replicated in an independent sample (n = 420) from the same dataset, as well as to an independent cohort (n = 3504). This suggests that covariance in developmental functional brain networks supports transdiagnostic dimensions of psychopathology.
在儿童和青少年（5-21 岁，n=1689）中，功能脑网络成熟与发展过程中的精神病理学之间的相互作用仍然难以捉摸。为了建立精神病理学的结构及其神经生物学机制，需要对跨发育临床人群的共享和独特功能连接模式进行映射。我们研究了静息态功能连接与儿童和青少年精神病理学之间的共同关联。具体来说，我们使用偏最小二乘法（PLS）来识别连接与症状评分和诊断信息之间的潜在变量（LV）。我们还专门研究了连接与每种诊断之间的关联，同时控制了其他诊断类别。PLS 在连接和症状之间确定了五个显著的 LV，映射到精神病理学层次结构上。第一个 LV 类似于一般精神病理学因素，其次是内化-外化、神经发育、躯体抱怨和思维问题维度。另一个具有诊断数据的 PLS 显示出一个显著的 LV，类似于跨诊断病例对照模式。自闭症谱系障碍（ASD）的特定诊断 PLS 确定了一个独特的连接模式。所有 LV 都与不同的功能连接模式相关。这些维度在来自同一数据集的另一个独立样本（n=420）中得到了很大程度的复制，以及在一个独立的队列（n=3504）中也得到了复制。这表明，发育功能脑网络的协方差支持精神病理学的跨诊断维度。
