Objective: To explore Professor Ma Junrong??s medication rules and mechanism in the treatment of children with tic disorder based on data mining and network pharmacology. Methods: Collected the case data of Professor Ma Junrong??s treatment of children with tic disorder in the pediatric outpatient department of the Southwest Medical University Affiliated Traditional Chinese Medicine Hospital from January 2018 to December 2022, and use software such as Microsoft Office Excel 2021, SPSS Modeler 18.0, SPSS Statistics 29.0 to perform frequency analysis of traditional Chinese medicine, analysis of traditional Chinese medicine attributes, association rule analysis, clustering analysis, and data visualization. According to the results, network pharmacological analysis was conducted, and the core TCM active ingredients and disease-related targets were screened using databases such as TCMSP, Batman-TCM, GeneCards, OMIM, and TTD. The network diagram of TCM-Active ingredient-Core target and protein interaction was constructed by using STRING database and Cytoscape 3.9.1 software. Perform GO function and KEGG pathway enrichment analysis on intersection targets using the Metascape database. AutoDock Vina 1.1.2 software was used for molecular docking of the main active ingredients and core targets, and finally PyMOL 2.4 software was used for visualization processing. Results: A total of 1,095 traditional Chinese medicine prescriptions were collected, involving 161 types of traditional Chinese medicine. The drug properties were primarily warm, with flavors often seen as spicy, bitter, and sweet. The channels of entry were mainly the Ganjing and Pijing. The efficacy categories were primarily composed of Pingganxifengyao, Buxuyao, Jiebiaoyao. 216 pairs of drug combinations were obtained through association rule analysis, and 4 core drug combinations were obtained through cluster analysis. The main effects were Bupirougan, Pingganxifen, Shuganqingre, Ziyinhuoxue. The top 8 traditional Chinese medicines with the highest frequency of use were Zhigancao, Quanxie, Chaihu, Wugong, Yujin, Shenjincao, Gouteng, Baishao. A total of 148 core active ingredients and 1,539 targets were selected, with 2,472 disease targets and 396 intersection targets. GO functional enrichment analysis revealed 1,199 biological processes, 171 cellular compositions, 237 molecular functions, and 170 KEGG pathways. The main active components of core drugs, such as Nootkatone, Carvone and Pulegone, may regulate several signaling pathways such as Neuroactive ligand-receptor interaction, cAMP and Dopaminergic synapse by acting on core targets such as BDNF, AKT1 and ALB, and play a role in the treatment of tic disorders in children. The results of molecular docking showed that the main active ingredients had strong binding activity with the core target. Conclusion: Professor Ma Junrong believes that children??s tic disorders belong to the original deficiency (spleen deficiency) and the standard (liver prosperity), which should be “treated from the spleen”, guided by the “spleen and liver leveling method”, treating both the symptoms and the root causes, and using the essence of medicine, so as to provide valuable experience and ideas for the medical staff in southern Sichuan to treat children??s tic disorders.