To examine whether clinical symptoms predicted EEG power and coherence, we ran separate univariate regression analyses for each frequency band that showed significant effects of Diagnosis for the two groups of patients. Given the large number of regression analyses conducted, we performed a Sidak correction for each measure of EEG (i.e. FFT, intra-hemispheric and inter-hemispheric coherence). For BP, the predictors included both YMRS and MADRS, whereas for SZ, the predictors included the positive, negative and disorganized factors of the PANSS. We found that YMRS significantly predicted power in the frontal region at Beta2 (F(2,58)=4.73, p=.013; β=.376, p=.004) for BP. Nevertheless, the regression model did not survive Sidak correction once age, gender, and medication were included (F(5,55)=2.70, p=.030; β=.372, p=.005). Clinical symptoms as measured by the PANSS did not significantly predict power nor coherence in our sample of SZ.
