Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China.
Sino-Danish College, University of Chinese Academy of Sciences, Beijing, PR China.
Schizophr Bull. 2020 Feb 26;46(2):442-453. doi: 10.1093/schbul/sbz073.
A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obsessive-compulsive disorder (OCD). Little is known about the neurobiological basis of schizo-obsessive comorbidity (SOC). We aimed to investigate whether specific changes in white matter exist in patients with SOC and the relationship between such abnormalities and clinical parameters. Twenty-eight patients with SOC, 28 schizophrenia patients, 30 OCD patients, and 30 demographically matched healthy controls were recruited. Using Tract-based Spatial Statistics and Probabilistic Tractography, we examined the pattern of white matter abnormalities in these participants. We also used ANOVA and Support Vector Classification of various white matter indices and structural connection probability to further examine white matter changes among the 4 groups. We found that patients with SOC had decreased fractional anisotropy (FA) and increased radial diffusivity in the right sagittal stratum and the left crescent of the fornix/stria terminalis compared with healthy controls. We also found changed connection probability in the Default Mode Network, the Subcortical Network, the Attention Network, the Task Control Network, the Visual Network, the Somatosensory Network, and the cerebellum in the SOC group compared with the other 3 groups. The classification results further revealed that FA features could differentiate the SOC group from the other 3 groups with an accuracy of .78. These findings highlight the specific white matter abnormalities found in patients with SOC.
精神分裂症患者中值得关注的一个现象是强迫症（OCD）的高共病率。关于精神分裂症合并强迫症（SOC）的神经生物学基础知之甚少。我们旨在研究 SOC 患者是否存在特定的白质变化，以及这些异常与临床参数之间的关系。我们招募了 28 名 SOC 患者、28 名精神分裂症患者、30 名强迫症患者和 30 名在人口统计学上匹配的健康对照组。使用基于束的空间统计学和概率束追踪技术，我们检查了这些参与者的白质异常模式。我们还使用方差分析和各种白质指数和结构连接概率的支持向量分类，进一步检查了 4 组之间的白质变化。我们发现，与健康对照组相比，SOC 患者右侧矢状层和左侧穹窿/终纹的扣带束有较低的各向异性分数（FA）和较高的径向弥散度。我们还发现，SOC 组的默认模式网络、皮质下网络、注意力网络、任务控制网络、视觉网络、躯体感觉网络和小脑的连接概率发生了改变。分类结果进一步表明，FA 特征可以区分 SOC 组与其他 3 组，准确率为 0.78。这些发现强调了 SOC 患者中存在特定的白质异常。
