Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; College of Information Science and Engineering, Chengdu University, Chengdu 610106, China.
J Affect Disord. 2017 Aug 1;217:118-124. doi: 10.1016/j.jad.2017.04.001. Epub 2017 Apr 4.
Depression and schizophrenia are two of the most serious psychiatric disorders. They share similar symptoms but the pathology-specific commonalities and differences remain unknown. This study was conducted to acquire a full picture of the functional alterations in schizophrenia and depression patients.
The resting-state fMRI data from 20 patients with schizophrenia, 20 patients with depression and 20 healthy control subjects were collected. A data-driven approach that included local functional connectivity density (FCD) analysis combined with multivariate pattern analysis (MVPA) was used to compare the three groups.
Based on the results of the MVPA, the local FCD value in the orbitofrontal cortex (OFC) can differentiate depression patients from schizophrenia patients. The patients with depression had a higher local FCD value in the medial and anterior parts of the OFC than the subjects in the other two groups, which suggested altered abstract and reward reinforces processing in depression patients. Subsequent functional connectivity analysis indicated that the connection in the prefrontal cortex was significantly lower in people with schizophrenia compared to people with depression and healthy controls.
The systematically different medications for schizophrenia and depression may have different effects on functional connectivity.
These results suggested that the resting-state functional connectivity pattern in the prefrontal cortex may be a transdiagnostic difference between depression and schizophrenia patients.
抑郁症和精神分裂症是两种最严重的精神疾病。它们有相似的症状,但病理特异性的共同点和差异尚不清楚。本研究旨在全面了解精神分裂症和抑郁症患者的功能改变。
收集了 20 名精神分裂症患者、20 名抑郁症患者和 20 名健康对照者的静息态功能磁共振成像(rs-fMRI)数据。采用数据驱动的方法,包括局部功能连接密度(FCD)分析结合多元模式分析(MVPA),对三组进行比较。
基于 MVPA 的结果,眶额皮质(OFC)的局部 FCD 值可区分抑郁症患者和精神分裂症患者。与其他两组相比,抑郁症患者的 OFC 内侧和前部的局部 FCD 值较高,这表明抑郁症患者的抽象和奖励强化处理发生了改变。随后的功能连接分析表明,与抑郁症患者和健康对照组相比,精神分裂症患者的前额叶皮层连接明显降低。
精神分裂症和抑郁症的系统性不同药物可能对功能连接有不同的影响。
这些结果表明,前额叶皮层的静息状态功能连接模式可能是抑郁症和精神分裂症患者之间的一种跨诊断差异。