Liu Feng, Zhuo Chuanjun, Yu Chunshui
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital Tianjin, China.
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General HospitalTianjin, China; Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Center, Tianjin Anding HospitalTianjin, China; Department of Psychiatry, Tianjin Anning HospitalTianjin, China.
Front Neurosci. 2016 Jun 30;10:308. doi: 10.3389/fnins.2016.00308. eCollection 2016.
Many studies have shown abnormal cerebral blood flow (CBF) in schizophrenia; however, it remains unclear how topological properties of CBF network are altered in this disorder. Here, arterial spin labeling (ASL) MRI was employed to measure resting-state CBF in 96 schizophrenia patients and 91 healthy controls. CBF covariance network of each group was constructed by calculating across-subject CBF covariance between 90 brain regions. Graph theory was used to compare intergroup differences in global and nodal topological measures of the network. Both schizophrenia patients and healthy controls had small-world topology in CBF covariance networks, implying an optimal balance between functional segregation and integration. Compared with healthy controls, schizophrenia patients showed reduced small-worldness, normalized clustering coefficient and local efficiency of the network, suggesting a shift toward randomized network topology in schizophrenia. Furthermore, schizophrenia patients exhibited altered nodal centrality in the perceptual-, affective-, language-, and spatial-related regions, indicating functional disturbance of these systems in schizophrenia. This study demonstrated for the first time that schizophrenia patients have disrupted topological properties in CBF covariance network, which provides a new perspective (efficiency of blood flow distribution between brain regions) for understanding neural mechanisms of schizophrenia.
许多研究表明精神分裂症患者存在脑血流量(CBF)异常;然而,目前尚不清楚CBF网络的拓扑特性在这种疾病中是如何改变的。在此,采用动脉自旋标记(ASL)磁共振成像(MRI)对96例精神分裂症患者和91名健康对照者的静息态CBF进行测量。通过计算90个脑区之间的受试者间CBF协方差,构建了每组的CBF协方差网络。运用图论比较两组在网络全局和节点拓扑测量方面的组间差异。精神分裂症患者和健康对照者的CBF协方差网络均具有小世界拓扑结构,这意味着在功能分离和整合之间达到了最佳平衡。与健康对照者相比,精神分裂症患者的小世界特性降低,网络的聚类系数和局部效率正常化,表明精神分裂症患者的网络拓扑结构向随机化转变。此外,精神分裂症患者在与感知、情感、语言和空间相关的区域表现出节点中心性改变,这表明精神分裂症中这些系统存在功能障碍。这项研究首次证明精神分裂症患者的CBF协方差网络拓扑特性遭到破坏,这为理解精神分裂症的神经机制提供了一个新的视角(脑区之间血流分布的效率)。