Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Department of Psychiatry, The First Affiliated Hospital, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
CNS Neurosci Ther. 2018 Dec;24(12):1140-1148. doi: 10.1111/cns.12865. Epub 2018 Apr 24.
Evidence of altered structural and functional connectivity in the frontal-occipital network is associated with cognitive deficits in patients with schizophrenia. However, the altered patterns of functional connectivity strength (FCS) in individuals with ultra-high risk (UHR) for psychosis remain unknown. In this study, whole-brain FCS was assessed to examine the altered patterns of FCS in UHR subjects.
A total of 34 UHR subjects and 37 age- and sex-matched healthy controls were enrolled to undergo resting-state functional magnetic resonance imaging. The imaging data were analyzed using the graph theory method.
Compared with healthy controls, UHR subjects showed significantly decreased FCS in the left middle frontal gyrus and significantly increased FCS in the left calcarine cortex. The FCS values in the left middle frontal gyrus were positively correlated to the scores of the Brief Assessments of Cognitionin Schizophrenia Symbol Coding Test (r = 0.366, P = 0.033) in the UHR subjects. A negative correlation was found between the FCS values in the left calcarine cortex and the scores of the Stroop color-naming test (r = -0.475, P = 0.016) in the UHR subjects. A combination of the FCS values in the 2 brain areas showed an accuracy of 87.32%, a sensitivity of 73.53%, and a specificity of 100% for distinguishing UHR subjects from healthy controls.
Significantly altered FCS in the frontal-occipital network is observed in the UHR subjects. Furthermore, decreased FCS in the left middle frontal gyrus and increased FCS in the left calcarine have significant correlations with the cognitive measures of the UHR subjects and thus improve our understanding of the underlying pathophysiological mechanisms of schizophrenia. Moreover, a combination of the FCS values in the 2 brain areas can serve as a potential image marker to distinguish UHR subjects from healthy controls.
在前额-枕叶网络中,结构和功能连接的改变与精神分裂症患者的认知缺陷有关。然而,精神病超高风险(UHR)个体的功能连接强度(FCS)改变模式尚不清楚。在这项研究中,我们评估了整个大脑的 FCS,以检查 UHR 受试者中 FCS 的改变模式。
共纳入 34 名 UHR 受试者和 37 名年龄和性别匹配的健康对照者进行静息态功能磁共振成像。使用图论方法分析成像数据。
与健康对照组相比,UHR 受试者左额中回的 FCS 显著降低,左距状皮层的 FCS 显著增加。UHR 受试者左额中回的 FCS 值与 Brief Assessments of Cognitionin Schizophrenia Symbol Coding Test(BSCCS)评分呈正相关(r=0.366,P=0.033)。UHR 受试者左距状皮层的 FCS 值与 Stroop 颜色命名测试评分呈负相关(r=-0.475,P=0.016)。这两个脑区的 FCS 值的组合对区分 UHR 受试者和健康对照组的准确率为 87.32%,灵敏度为 73.53%,特异性为 100%。
UHR 受试者的额-枕叶网络的 FCS 明显改变。此外,左额中回的 FCS 降低和左距状皮层的 FCS 增加与 UHR 受试者的认知测量有显著相关性,从而加深了我们对精神分裂症潜在病理生理机制的理解。此外,这两个脑区的 FCS 值的组合可以作为一种潜在的影像学标志物,将 UHR 受试者与健康对照组区分开来。