Prediction and Evaluation of Schizophrenia Symptom by fMRI Brain Connectivity Centrality
Duan Mingjun1, Li Ning1,2, Chang Xin2, Li Cheng1, Zhang Nan1,2, Ren Youwei2, Yang Huanghao2, He Hui1, Luo Cheng2#, Yao Dezhong2,3#*
1(The Clinical Hospital of Chengdu Brain Science Institute,University of Electronic Science and Technology of China,Chengdu 610030,China) 2(School of life Science and technology,University of Electronic Science and Technology of China,Chengdu 611731,China) 3(Sichuan Institute for Brain Science and Brain Inspired Intelligence, Chengdu 611731,China)
Abstract：Schizophrenia is a kind of serious mental disorder. Most of patients with schizophrenia need lifetime treatment of antipsychotic drugs. It is very important to evaluate the effects of drugs for the choice of therapeutic approaches. In this study, the degree centrality (DC) of brain functional connectivity was used to investigate the effects of taking two clinical different kinds of antipsychotic drugs: risperidone and clozapine, aiming to construct a model to predict their effects. The resting-state functional magnetic resonance imaging data were collected from 20 schizophrenia patients therapized with risperidone, 24 patients were treated with clozapine and 30 healthy as controls. The voxel-based DC was evaluated using analysis of variance. The DC in the regions with difference between patients and healthy controls was used in support vector regression (SVR) to construct predictive model for the scores of syndromes in patients with different drugs respectively. Experimental results indicated that the DC was altered in thalamus, insula and primary perception and motor-related cortexes in schizophrenia contrast to healthy controls (P< 0.05). In addition, The SVR model based on the DC in these regions could predict the negative syndrome of patients’ treatment with clozapine (r=0.448, P<0.05), while the syndrome of patients was not predicted in the risperidone group. Therefore, using SVR for the regions with difference in analysis of variance, several main regions related with antipsychotic drugs in schizophrenia were determined, and these findings would contribute to the choice antipsychotic drugs in the future.
段明君, 李宁, 常鑫, 李诚, 张楠, 任有为, 杨黄浩, 贺辉, 罗程, 尧德中. 功能磁共振脑连接度中心性对精神分裂症症状的预测评估[J]. 中国生物医学工程学报, 2020, 39(1): 19-25.
Duan Mingjun, Li Ning, Chang Xin, Li Cheng, Zhang Nan, Ren Youwei, Yang Huanghao, He Hui, Luo Cheng, Yao Dezhong. Prediction and Evaluation of Schizophrenia Symptom by fMRI Brain Connectivity Centrality. Chinese Journal of Biomedical Engineering, 2020, 39(1): 19-25.
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