Soft Computing Techniques in Neuroimaging

A variety of real-world problems are being addressed today by soft computing, but limited research has been foundin the area of neuroimaging. Given the vast area of neuroimaging that can be explored through soft computing, researchers canwork on and improve their work. The results of this research should advance soft-computing approaches to addressneuroimaging problems. However, the human brain contains a large portion of the dataset, and the dataset is nothomogeneous, so it is not easy to deal with the problem. A heuristic approach to soft computing can play an important role inaddressing problems within limited time constraints. Furthermore, fuzzy logic is also an effective neural networks, fuzzy logic,statistics, and probabilistic inference. In addition, parts of machine learning and optimization are also included in this domain.However, Neuro imaging is primarily focused on brain data and the impact on behavioral and cognitive data by analyzingsolution for identifying neurodivergent diseases. To combine all the fruitful solutions, this research topic aims to summarize allthe solutions by covering a wide range of soft computing and neuroimaging methods.