DGER: Delta Gamma Energy Ratio as a Biomarker for the Identification of Schizophrenia

Schizophrenia (SCZ) characterized as chronic psychotic mental disorder which severely affects the social life of an individuals. The present study analysed the delta and gamma band using resting EEG signals in SCZ and healthy controls (HC). Total of 10 subjects were selected for each group and 19 channel rest EEG data was recorded. The relative band energy for delta and gamma band was extracted and the ratio of delta and gamma energy (DGER) was calculated as a main feature. The results showed significant difference in the DGER value at frontal and prefrontal electrode locations. The DGER value observed to be significantly low in SCZ group compared to HC group. The classification output showed maximum classification accuracy of 89% using linear discriminant classifier when classifying the SCZ and HC group using DGER. In conclusion, the present study suggests the use of DGER as useful neurophysiological marker for identification of SCZ.