Analysis of electroencephalogram as a pre screening tool for identification of Schizophrenia

Abstract

Schizophrenia (SCH) is one type of psychiatric disorder and it is characterized by either positive psychotic symptoms or negative psychotic symptoms. In the whole world population, 1% of the people are being affected by SCH. Known causes for SCH include neurochemical imbalance, an imbalance in cerebral blood flow, molecular biology and genetic predisposition. 90% of the SCH cases remain untreated in the world. Worldwide almost 94% of SCH is being affected by cognitive deficits and in India, nearly 6-7 million people suffer from this disorder. Hence understanding of SCH itself is greater challenge to the medical society and this leads to lack of diagnosis and wrong treatment. Leaving them untreated is also a very big societal concern. The diagnosis of SCH is completely based on the Diagnostic Statistical Manual for Mental Disorders IV (DSM-IV). The neuropathology and etiology of SCH have relationship with brain abnormalities. Therefore, many researchers began to investigate SCH using variety of noninvasive brain imaging methodologies to study about brain volume deficits and abnormalities in the white and gray matter. However, such techniques are not fully incorporated into clinical practice. newline