College of Mathematics and Computer Science, Key Laboratory of High Performance Computing and Stochastic Information Processing, Ministry of Education of China, Hunan Normal University, Changsha, Hunan, China.
Hum Brain Mapp. 2014 Jan;35(1):123-39. doi: 10.1002/hbm.22162. Epub 2012 Sep 24.
There is still no clear consensus as to which of the many functional and structural changes in the brain in schizophrenia are of most importance, although the main focus to date has been on those in the frontal and cingulate cortices. In the present study, we have used a novel holistic approach to identify brain-wide functional connectivity changes in medicated schizophrenia patients, and functional connectivity changes were analyzed using resting-state fMRI data from 69 medicated schizophrenia patients and 62 healthy controls. As far as we are aware, this is the largest population reported in the literature for a resting-state study. Voxel-based morphometry was also used to investigate gray and white matter volume changes. Changes were correlated with illness duration/symptom severity and a support vector machine analysis assessed predictive validity. A network involving the inferior parietal lobule, superior parietal gyrus, precuneus, superior marginal, and angular gyri was by far the most affected (68% predictive validity compared with 82% using all connections) and different components correlated with illness duration and positive and negative symptom severity. Smaller changes occurred in emotional memory and sensory and motor processing networks along with weakened interhemispheric connections. Our findings identify the key functional circuitry altered in schizophrenia involving the default network midline cortical system and the cortical mirror neuron system, both playing important roles in sensory and cognitive processing and particularly self-processing, all of which are affected in this disorder. Interestingly, the functional connectivity changes with the strongest links to schizophrenia involved parietal rather than frontal regions.
目前,尽管主要的关注点一直集中在前额和扣带回皮质,但对于精神分裂症大脑中众多功能和结构变化中哪些最为重要,仍未有明确共识。在本研究中,我们使用了一种新颖的整体方法,来识别药物治疗的精神分裂症患者的全脑功能连接变化,并使用 69 名药物治疗的精神分裂症患者和 62 名健康对照者的静息态 fMRI 数据来分析功能连接变化。据我们所知,这是文献中报道的最大的静息态研究人群。还使用基于体素的形态计量学来研究灰质和白质体积变化。变化与疾病持续时间/症状严重程度相关,支持向量机分析评估了预测有效性。一个涉及下顶叶、上顶叶、楔前叶、上缘和角回的网络是受影响最严重的(与使用所有连接时相比,预测有效性为 68%,而 82%),不同的成分与疾病持续时间和阳性及阴性症状严重程度相关。情绪记忆和感觉及运动处理网络的变化较小,并且半球间连接减弱。我们的研究结果确定了精神分裂症中改变的关键功能回路,涉及默认网络中线皮质系统和皮质镜像神经元系统,两者都在感觉和认知处理中起着重要作用,尤其是在自我处理方面,而在这种疾病中,这些都受到影响。有趣的是,与精神分裂症关联最强的功能连接变化涉及顶叶而不是额叶区域。