Guo Lining, Ma Juanwei, Cai Mengjing, Zhang Minghui, Xu Qiang, Wang He, Zhang Yijing, Yao Jia, Sun Zuhao, Chen Yayuan, Xue Hui, Zhang Yujie, Wang Shaoying, Xue Kaizhong, Zhu Dan, Liu Feng
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Department of Ultrasound, Tianjin Medical University General Hospital Airport Hospital, Tianjin, China.
Schizophrenia (Heidelb). 2023 Dec 16;9(1):87. doi: 10.1038/s41537-023-00422-4.
Neuroimaging studies have revealed that patients with schizophrenia exhibit disrupted resting-state functional connectivity. However, the inconsistent findings across these studies have hindered our comprehensive understanding of the functional connectivity changes associated with schizophrenia, and the molecular mechanisms associated with these alterations remain largely unclear. A quantitative meta-analysis was first conducted on 21 datasets, involving 1057 patients and 1186 healthy controls, to examine disrupted resting-state functional connectivity in schizophrenia, as measured by whole-brain voxel-wise functional network centrality (FNC). Subsequently, partial least squares regression analysis was employed to investigate the relationship between FNC changes and gene expression profiles obtained from the Allen Human Brain Atlas database. Finally, gene enrichment analysis was performed to unveil the biological significance of the altered FNC-related genes. Compared with healthy controls, patients with schizophrenia show consistently increased FNC in the right inferior parietal cortex extending to the supramarginal gyrus, angular gyrus, bilateral medial prefrontal cortex, and right dorsolateral prefrontal cortex, while decreased FNC in the bilateral insula, bilateral postcentral gyrus, and right inferior temporal gyrus. Meta-regression analysis revealed that increased FNC in the right inferior parietal cortex was positively correlated with clinical score. In addition, these observed functional connectivity changes were found to be spatially associated with the brain-wide expression of specific genes, which were enriched in diverse biological pathways and cell types. These findings highlight the aberrant functional connectivity observed in schizophrenia and its potential molecular underpinnings, providing valuable insights into the neuropathology of dysconnectivity associated with this disorder.
神经影像学研究表明,精神分裂症患者的静息态功能连接存在紊乱。然而,这些研究结果并不一致,阻碍了我们对与精神分裂症相关的功能连接变化的全面理解,而且与这些改变相关的分子机制在很大程度上仍不清楚。首先对21个数据集进行了定量荟萃分析,这些数据集涉及1057例患者和1186名健康对照,以研究精神分裂症患者静息态功能连接的紊乱情况,采用全脑体素功能网络中心度(FNC)进行测量。随后,采用偏最小二乘回归分析来研究FNC变化与从艾伦人类大脑图谱数据库获得的基因表达谱之间的关系。最后,进行基因富集分析以揭示FNC相关基因改变的生物学意义。与健康对照相比,精神分裂症患者右侧顶下叶皮质至缘上回、角回、双侧内侧前额叶皮质和右侧背外侧前额叶皮质的FNC持续增加,而双侧岛叶、双侧中央后回和右侧颞下回的FNC则降低。荟萃回归分析显示,右侧顶下叶皮质FNC的增加与临床评分呈正相关。此外,这些观察到的功能连接变化在空间上与特定基因的全脑表达相关,这些基因在多种生物学途径和细胞类型中富集。这些发现突出了精神分裂症中观察到的异常功能连接及其潜在的分子基础,为与该疾病相关的连接障碍的神经病理学提供了有价值的见解。