Wei Jing, Wei Shubao, Yang Rongxing, Yang Lu, Yin Qiong, Li Huihui, Qin Yuhong, Lei Yiwu, Qin Chao, Tang Jingqun, Luo Shuguang, Guo Wenbin
Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Front Psychol. 2018 Sep 11;9:1620. doi: 10.3389/fpsyg.2018.01620. eCollection 2018.
Several networks in human brain are involved in the development of blepharospasm. However, the underlying mechanisms for this disease are poorly understood. A voxel-mirrored homotopic connectivity (VMHC) method was used to quantify the changes in functional connectivity between two hemispheres of the brain in patients with blepharospasm. Twenty-four patients with blepharospasm and 24 healthy controls matched by age, sex, and education were recruited. The VMHC method was employed to analyze the fMRI data. The support vector machine (SVM) method was utilized to examine whether these abnormalities could be applied to distinguish the patients from the controls. Compared with healthy controls, patients with blepharospasm showed significantly high VMHC in the inferior temporal gyrus, interior frontal gyrus, posterior cingulate cortex, and postcentral gyrus. No significant correlation was found between abnormal VMHC values and clinical variables. SVM analysis showed a combination of increased VMHC values in two brain areas with high sensitivities and specificities (83.33 and 91.67% in the combined inferior frontal gyrus and posterior cingulate cortex; and 83.33 and 87.50% in the combined inferior temporal gyrus and postcentral gyrus). Enhanced homotopic coordination in the brain regions associated with sensory integration networks and default-mode network may be underlying the pathophysiology of blepharospasm. This phenomenon may serve as potential image markers to distinguish patients with blepharospasm from healthy controls.
人类大脑中的多个网络参与了眼睑痉挛的发展。然而,这种疾病的潜在机制仍知之甚少。采用体素镜像同伦连接(VMHC)方法来量化眼睑痉挛患者大脑两半球之间功能连接的变化。招募了24例眼睑痉挛患者和24名年龄、性别和教育程度相匹配的健康对照者。采用VMHC方法分析功能磁共振成像(fMRI)数据。利用支持向量机(SVM)方法来检验这些异常是否可用于区分患者和对照者。与健康对照者相比,眼睑痉挛患者在颞下回、额内侧回、后扣带回皮质和中央后回表现出显著较高的VMHC。未发现异常VMHC值与临床变量之间存在显著相关性。SVM分析显示,两个脑区VMHC值升高的组合具有较高的敏感性和特异性(额下回和后扣带回皮质联合区域为83.33%和91.67%;颞下回和中央后回联合区域为83.33%和87.50%)。与感觉整合网络和默认模式网络相关的脑区中增强的同伦协调可能是眼睑痉挛病理生理学的基础。这种现象可能作为区分眼睑痉挛患者和健康对照者的潜在影像标志物。