Advances in neuroimaging techniques have facilitated the study of anatomical and functional changes in the brain. Image analysis can aid precise diagnosis and treatment by providing quantitative measures. Despite the extensive research, automated analysis of neuroimages still remains a challenging problem. Integration of prior knowledge based on anatomical features can help to improve the accuracy. Brain's bilateral symmetry and its association with pathology could work as a priori when interpreting neuroimages for clinical diagnosis. This paper brings some of this research together to analyse symmetry integrated methods in neuroimaging and reviews various state-of-the-art symmetry plane detection techniques, applications, and key issues.