Research on major brain structures related to mental disorders based on text mining

Mental disorders are recognized as leading causes of morbidity and disability worldwide, but the etiology of mental disorders is not completely clear, and it is generally believed that genetic and environmental factors are involved. A number of brain imaging researches showed that patients with mental disorders often had multiple brain structural abnormalities. Which brain structures are dominant in the pathogenesis of mental disorders, and whether there is a regular relationship between them need to be further studied. In this study, we used text mining technology to analyze the literatures related to mental disorders and brain structures in Pubmed database. Firstly, 61 high-frequency brain structures identified as the major brain structures. Then, from the results of system clustering, the major brain structures were divided into three clusters. Finally, 29 frequent itemsets and 36 strong association rules were obtained by association analysis. This study applied text mining technology to summarize and clarify the relationship between mental disorders and brain structures, providing possible direction and reference for future experimental studies.