Power spectral analysis of resting-state EEG to monitor psychological resilience to stress

Abstract

Psychological resilience refers to the capacity to adapt and recover from challenging situations, stress, or traumatic events. However, there is currently no universally accepted standard for assessing resilience in research, leading to heterogeneity in approaches and measures across different studies. Thus, the present study aimed to test the hypothesis that spectral analysis of the resting-state electroencephalograms (EEG) can be correlated to resilience scores, and ultimately used as the standard method of measuring psychological resilience of patients. We recorded the Perceived Stress Scale (PSS) and the Social Readjustment Rating Scale (SRRS) scores of 299 participants recruited at the Centre for Addiction and Mental Health. The PSS and SRRS scores were used to generate a regression model and residuals were utilized as a measure of resilience to stress. Resting-state EEG data were recorded from 55 healthy subjects extracted from the total sample, and the relative power spectrum of 8 EEG electrodes (F3, F4, C3, C4, P3, P4, O1, O2) for each frequency band (delta, theta, alpha, and beta) were calculated to compare with the resilience scores was tested using the Pearson coefficient. A significant positive correlation between PSS scores and SRRS scores was identified. The EEG power spectrum analysis did not yield any significant findings, except for a trend towards significance in the theta band at electrode P4 (p-value = 0.081). Therefore, the results provide a limited possibility of utilizing EEG to measure psychosocial resilience.