Severity analysis in schizophrenic brain magnetic resonance images using radiomic features and metaheuristic algorithms

Abstract

Schizophrenia (SZ) is the most chronic disabling psychotic brain disorder. It is characterized by delusions and auditory hallucinations, as well as impairments in memory, attention, executive and other high-order cognitive functions. The diagnosis of SZ is still challenging due to the heterogeneity of brain tissue patterns and the unclear boundary with other psychiatric disorders. Schizoaffective (SA) signs are co-morbid with SZ and newlineare characterized by symptoms of SZ and mood disorder. Various researches suggest that SZ and SA share a number of equally severe cognitive deficits, but the pathophysiology has not yet been addressed in a comprehensive way. Currently, these diseases are clinically diagnosed using Positive and Negative Syndrome Scale (PANSS) score. The accurate diagnosis of psychotic disorder is possible only through brain tissue pattern analysis. newlineThe atrophy starts with deterioration of grey matter and white matter in the brain in the temporal, frontal and parietal lobes. This leads to subtle alterations in brain structures. Analysis of variations in brain tissue structures plays a vital role in diagnosis of SZ and SA subjects. There is an involvement of the ventricle and cerebellum region in the generation of newlineneurological symptoms in schizophrenia spectrum disorder and could be used as a biomarker. newline newline