Shan Xiaoxiao, Liao Rongyuan, Ou Yangpan, Ding Yudan, Liu Feng, Chen Jindong, Zhao Jingping, Guo Wenbin, He Yiqun
Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.
National Clinical Research Center on Mental Disorders, Changsha, China.
Front Psychiatry. 2020 Mar 27;11:234. doi: 10.3389/fpsyt.2020.00234. eCollection 2020.
Previous studies have revealed the efficacy of metacognitive training for schizophrenia. However, the underlying mechanisms of metacognitive training on brain function alterations, including the default-mode network (DMN), remain unknown. The present study explored treatment effects of metacognitive training on functional connectivity of the brain regions in the DMN.
Forty-one patients with schizophrenia and 20 healthy controls were scanned using resting-state functional magnetic resonance imaging. Patients were randomly assigned to drug plus psychotherapy (DPP) and drug therapy (DT) groups. The DPP group received olanzapine and metacognitive training, and the DT group received only olanzapine for 8 weeks. Network homogeneity (NH) was applied to analyze the imaging data, and pattern classification techniques were applied to test whether abnormal NH deficits at baseline might be used to discriminate patients from healthy controls. Abnormal NH in predicting treatment response was also examined in each patient group.
Compared with healthy controls, patients at baseline showed decreased NH in the bilateral ventral medial prefrontal cortex (MPFC), right posterior cingulate cortex (PCC)/precuneus, and bilateral precuneus and increased NH in the right cerebellum Crus II and bilateral superior MPFC. NH values in the right PCC/precuneus increased in the DPP group after 8 weeks of treatment, whereas no substantial difference in NH value was observed in the DT group. Support vector machine analyses showed that the accuracy, sensitivity, and specificity for distinguishing patients from healthy controls were more than 0.7 in the NH values of the right PCC/precuneus, bilateral ventral MPFC, bilateral superior MPFC, and bilateral precuneus regions. Support vector regression analyses showed that high NH levels at baseline in the bilateral superior MPFC could predict symptomatic improvement of positive and negative syndrome scale (PANSS) after 8 weeks of DPP treatment. No correlations were found between alterations in the NH values and changes in the PANSS scores/cognition parameters in the patients.
This study provides evidence that metacognitive training is related to the modulation of DMN homogeneity in schizophrenia.
既往研究已揭示元认知训练对精神分裂症的疗效。然而,元认知训练对包括默认模式网络(DMN)在内的脑功能改变的潜在机制仍不清楚。本研究探讨了元认知训练对DMN中脑区功能连接的治疗效果。
对41例精神分裂症患者和20名健康对照者进行静息态功能磁共振成像扫描。患者被随机分为药物加心理治疗(DPP)组和药物治疗(DT)组。DPP组接受奥氮平和元认知训练,DT组仅接受奥氮平治疗8周。采用网络同质性(NH)分析成像数据,并应用模式分类技术测试基线时异常的NH缺陷是否可用于区分患者与健康对照者。还在每个患者组中检查了异常NH对治疗反应的预测作用。
与健康对照者相比,患者基线时双侧腹内侧前额叶皮质(MPFC)、右侧后扣带回皮质(PCC)/楔前叶、双侧楔前叶的NH降低,右侧小脑 Crus II和双侧额上叶MPFC的NH升高。治疗8周后,DPP组右侧PCC/楔前叶的NH值升高,而DT组NH值未观察到实质性差异。支持向量机分析显示,右侧PCC/楔前叶、双侧腹侧MPFC、双侧额上叶MPFC和双侧楔前叶区域的NH值区分患者与健康对照者的准确性、敏感性和特异性均超过0.7。支持向量回归分析显示,双侧额上叶MPFC基线时较高的NH水平可预测DPP治疗8周后阳性和阴性症状量表(PANSS)的症状改善。患者的NH值改变与PANSS评分/认知参数变化之间未发现相关性。
本研究提供了证据表明元认知训练与精神分裂症患者DMN同质性的调节有关。