Childhood and adolescence represent a time notable for the emergence of many psychiatric disorders, where comorbidity and co-occurrence of symptoms are well-documented. However, it remains unclear whether there exists common brain structural disturbance across psychiatric disorders in youth. Here, we conduct a transdiagnostic meta-analysis of 132 structural neuroimaging experiments in youth consisting of multiple psychiatric diagnoses. Compared to healthy peers, youth psychiatric disorders are characterized by reduced grey matter volume (GMV) of amygdala and lateral orbitofrontal cortex and enhanced GMV of ventromedial prefrontal cortex and precuneus. These four regions were then subjected to functional connectivity and decoding analyses based on healthy participant datasets, allowing for a data-driven quantitative inference on psychophysiological functions. These regions and their networks mapped onto systems implicated in negative valence, positive valence, as well as social and cognitive functioning. Together, our findings are consistent with transdiagnostic models of psychopathology, uncovering common structural disturbance across youth psychiatric disorders, potentially reflecting an intermediate transdiagnostic phenotype in association with broad dimensions of youth psychopathology.

童年和青春期代表着许多精神疾病的出现的明显时间，在这些疾病中，合并症和症状的并发有据可查。但是，目前尚不清楚青年中是否存在跨精神病的常见脑结构障碍。在这里，我们对由多种精神病学诊断组成的青年中的132个结构神经影像学实验进行了转诊性荟萃分析。与健康的同龄人相比，青年精神病患者的特征是杏仁核和眶额叶皮质的灰质体积（GMV）降低，腹侧前额叶皮层和前突神经的GMV增强。然后根据健康的参与者数据集对这四个区域进行功能连接和解码分析，允许对心理生理功能进行数据驱动的定量推断。这些区域及其网络映射到与负价，正价以及社会和认知功能有关的系统上。总之，我们的发现与精神病理学的跨诊断模型一致，揭示了青年精神病学中常见的结构性紊乱，可能反映了与青年精神病理学的广泛范围相关的中间转诊表型。