Interdisciplinary Program in Neuroscience, Seoul National University, Seoul, Korea.
J Korean Med Sci. 2010 Dec;25(12):1700-9. doi: 10.3346/jkms.2010.25.12.1700. Epub 2010 Nov 24.
Individuals at ultra-high-risk (UHR) for psychosis have become a major focus for research designed to explore markers for early detection of and clinical intervention in schizophrenia. In particular, structural magnetic resonance imaging studies in UHR individuals have provided important insight into the neurobiological basis of psychosis and have shown the brain changes associated with clinical risk factors. In this review, we describe the structural brain abnormalities in magnetic resonance images in UHR individuals. The current accumulated data demonstrate that abnormalities in the prefrontal and temporal cortex and anterior cingulate cortex occur before illness onset. These regions are compatible with the regions of structural deficits found in schizophrenia and first-episode patients. In addition, the burgeoning evidence suggests that such structural abnormalities are potential markers for the transition to psychosis. However, most findings to date are limited because they are from cross-sectional rather than longitudinal studies. Recently, researchers have emphasized neurodevelopmental considerations with respect to brain structural alterations in UHR individuals. Future studies should be conducted to characterize the differences in the brain developmental trajectory between UHR individuals and healthy controls using a longitudinal design. These new studies should contribute to early detection and management as well as provide more predictive markers of later psychosis.
个体处于精神病超高风险(UHR)状态,已成为探索精神分裂症早期检测和临床干预标志物的主要研究重点。特别是,UHR 个体的结构磁共振成像研究为精神病的神经生物学基础提供了重要的见解,并显示了与临床风险因素相关的大脑变化。在这篇综述中,我们描述了 UHR 个体磁共振图像中的结构脑异常。目前积累的数据表明,在前额皮质、颞叶皮质和前扣带回皮质出现异常之前,就已经出现了临床发病前的脑区结构变化。这些区域与精神分裂症和首发患者的结构缺陷区域相吻合。此外,越来越多的证据表明,这种结构异常可能是精神病发作的潜在标志物。然而,迄今为止,大多数发现都受到限制,因为它们是来自横断面而不是纵向研究。最近,研究人员强调了 UHR 个体大脑结构改变的神经发育考虑因素。未来的研究应该采用纵向设计来描述 UHR 个体和健康对照组之间的脑发育轨迹差异。这些新的研究将有助于早期发现和管理,并提供更多预测精神病后期的标志物。