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In the fields of neuroscience and computer science, researchers generally utilize statistical models and deep learning to explore differences in the internal working mechanism of the functional brain networks between different states. However,existing functional brain networks research methods are mainly used to find evidence that supports a certain hypothesis and convey scientific discoveries, these methods have single functions. In response to the above problems, we designed BrainDVis, an interactive visual analysis tool for functional MRI data, which can be used to help researchers explore the many differences between functional brain networks in different states. BrainDVis correlates functional brain networks difference comparison function, brain network parameter analysis function, modular structure analysis function, and brain functional connection analysis function, provides Multi-View Collaborative Interaction to help researchers explore independently and find differences .Finally, using public data set to conduct experiments, the feasibility and effectiveness of the system are verified.