首发重症抑郁症的弥散张量成像研究:基于纤维束示踪的空间统计学分析结果

目的:应用基于纤维束示踪的空间统计分析(Tract-Based Spatial Statistics,TBSS)方法,探讨重症抑郁症病患者全脑白质纤维的完整性是否受到损害。方法:对20(8男,12女)例重症抑郁症病患者组和20(8男,12女)例与抑郁症组按性别、年龄、教育程度匹配的正常人进行全脑弥散张量成像扫描。应用TBSS方法来比较两组的各向异性分数。结果:抑郁症组的左侧内囊前肢、右侧海马旁回、左侧后扣带回的各向异性分数显著低于正常组(P<0.05,t>3,校正),患者组内囊前肢的各向异性分数和抑郁症严重程度呈现负相关。结论:白质病变在抑郁症发病早期即已存在,这些病变区域主要涉及前额叶和边缘系统等与认知和情感调节关系较密切的神经环路的纤维束,这些改变可能导致皮层和皮层下连接受损,从而有利于深入了解抑郁症疾病的发病机理。

Investigation of White Matter with Tract-based Spatial Statistics in Patients with Major Depressive Disorder

Objective:The present study aimed to evaluate changes of white matter in patients with major depressive disorder(MDD) by use of a novel method called Tract-Based Spatial Statistics(TBSS).Methods:Diffusion tensor imaging(DTI) was performed in 20 patients with MDD and 20 healthy controls.TBSS was used to analyze the DTI data.Results:Compared with healthy controls,fractional anisotropy(FA) values were significantly decreased in the white matter of the left anterior limb of the internal capsule(ALIC),the right ...