Neuroimaging Research Progress of Negative Symptoms in Schizophrenia
Gong Jinnan1,2, Yang Zhuoru1, Li Lu1, Jiang Yuchao2, Dong Debo2, Shao Junming3, Yao Dezhong2, Luo Cheng2*
1(School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China) 2(The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu 611731, China) 3(School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
Abstract：Patients with chronic schizophrenia have negative symptoms as the main clinical manifestations, which are also the main factor of mental disability, has a great effect on the life quality of patients. So far, the neural mechanism of negative symptoms is still unclear, making it hard to be controlled. This article reviewed the research progress in different aspects in this field, including the occurrence of schizophrenia associated to the damage of subcortical regions (the striatum and thalamus), and the abnormality of the subcortex-cortical connectivity associated to negative symptoms. This article also proposed the perspectives of the new method (reconstruction of topological brain connection) in the study of the mechanism of negative symptoms of schizophrenia, such as exploring the coupling of the dopaminergic neurotransmitter system of the striatum-thalamus-prefrontal loop, and the deconstruction of spatial distribution information. In addition, the application of deep learning can further decode the topological features of the critical brain connections relate to negative symptoms, which is expected to become a potentially approach to explore the mechanism of negative symptoms of schizophrenia.
龚津南, 杨卓儒, 李露, 蒋宇超, 董德波, 邵俊明, 尧德中, 罗程. 基于MRI的精神分裂症阴性症状脑影像研究进展[J]. 中国生物医学工程学报, 2022, 41(1): 108-113.
Gong Jinnan, Yang Zhuoru, Li Lu, Jiang Yuchao, Dong Debo, Shao Junming, Yao Dezhong, Luo Cheng. Neuroimaging Research Progress of Negative Symptoms in Schizophrenia. Chinese Journal of Biomedical Engineering, 2022, 41(1): 108-113.
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