Fan Fengmei, Jin Suhui, Lv Yating, Tan Shuping, Liao Yuqing, Luo Zhenzhen, Ruan Jingxuan, Wang Zhiren, Fan Hongzhen, Han Xiaole, Zou Qihong, Xiang Hong, Guo Hua, Yang Fude, Tan Yunlong, Wang Jinhui
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China.
Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China.
Schizophr Bull. 2025 Sep 8;51(5):1351-1366. doi: 10.1093/schbul/sbae218.
Population-based morphological covariance networks are widely reported to be altered in schizophrenia. Individualized morphological brain network approaches have emerged recently. We hypothesize that individualized morphological brain networks are disrupted in schizophrenia.
We constructed single-subject morphological brain networks for 203 patients with first-episode schizophrenia (FES) and 131 healthy controls separately based on regional cortical thickness (CT), fractal dimension (FD), gyrification index, and sulcal depth (SD) by dividing the cerebral cortex into 360 regions in terms of the Human Connectome Project Multi-Modal Parcellation atlas.
Compared with the controls, the patients exhibited morphological similarity reductions in all types of networks while increases in FD- and SD-based networks. The altered morphological similarities were commonly involved in cingulo-opercular and default mode networks. Interestingly, the altered morphological similarities accounted for clinical symptoms and cognitive dysfunction in the patients and distinguished the patients from controls, with better performance than altered local morphology. In addition, graph-based analysis revealed that global organization was intact while nodal centrality was altered in the patients as characterized by decreased degree and efficiency in the left inferior parietal cortex and increased efficiency in left area superior temporal gyrus for the CT-based networks, decreased degree and efficiency in the left Posterior Insular Area 2 for the FD-based networks, and decreased betweenness in the left Area 52 for the SD-based networks.
These findings indicate that FES is accompanied by characteristic disruptions in single-subject cortical morphological networks, which provide novel insights into neurobiological mechanisms underlying schizophrenia.
基于人群的形态协方差网络在精神分裂症中被广泛报道存在改变。个体化形态脑网络方法最近已经出现。我们假设在精神分裂症中个体化形态脑网络受到破坏。
我们分别基于区域皮质厚度（CT）、分形维数（FD）、脑回指数和脑沟深度（SD），通过根据人类连接组计划多模态分区图谱将大脑皮层划分为360个区域，为203例首发精神分裂症（FES）患者和131名健康对照构建了单受试者形态脑网络。
与对照组相比，患者在所有类型的网络中形态相似性降低，而基于FD和SD的网络中相似性增加。形态相似性改变通常涉及扣带回 - 岛盖网络和默认模式网络。有趣的是，形态相似性改变解释了患者的临床症状和认知功能障碍，并将患者与对照组区分开来，其表现优于局部形态改变。此外，基于图的分析表明，患者的全局组织完整，而节点中心性改变，其特征为基于CT的网络中左侧顶下小叶的度和效率降低，左侧颞上回区域效率增加；基于FD的网络中左侧岛后区2的度和效率降低；基于SD的网络中左侧52区的中介中心性降低。
这些发现表明首发精神分裂症伴有单受试者皮质形态网络的特征性破坏，这为精神分裂症潜在的神经生物学机制提供了新的见解。
