Anatomy of Various Biomarkers for Diagnosis of Socio-behavioral Disorders

Socio-behavioral disorders, a subcategory of neurodevelopmental disorders typically accompanied by behavioral impairments, are the most common disability, specifically found in young children. Although, its cure is not possible but early identification and treatment can help to improve the conditions. A great deal of progress has been made in recognizing SBD through objective methods that involves biological measures (biomarkers) to aid early screening and diagnosis. Recently, with the advancement of AI technology, SBD diagnosis based on biomarkers data has been evolved to complement the traditional clinical procedures which can be costly, time consuming, and often lead to misdiagnosis. The focus of this paper is to provide brief insights on the potentially used biomarkers like sMRI, fMRI, Eye, and EEG along with their associated intelligent approaches. Moreover, this paper explores the feasibility of each SBD biomarker mentioned in the study with respect to various parameters and also enlightens the readers about the various open research challenges in SBD diagnostic field.