Resting-state EEG as a potential indicator to predict sleep quality in depressive patients

Objectives: To investigate the changes in sleep quality, heart rate variability (HRV) and resting-state electroen-cephalogram (rsEEG) in patients with major depressive disorder (MDD), and to explore whether HRV and rsEEG may be served as more convenient tools to assess sleep quality in MDD patients.Method: We included a total of 91 subjects (46 healthy controls and 45 MDD patients) and compared their sleep quality, HRV and power spectra of rsEEG. Correlation analyses were conducted to discuss the relationship be-tween HRV and seven factors of PSQI. Multiple linear regression model was used to examine whether absolute band power could predict sleep quality in MDD patients.Results: We found higher PSQI scores and lower levels of HRV in depressive individuals compared with healthy controls. In MDD patients, sleep latency was negatively correlated with RMSSD and HF. Delta, theta, and alpha band power of rsEEG were higher in MDD patients. Regression analyses showed delta band power of TP8, as well as theta, alpha band power of AF3 predicts PSQI score of MDD patients.Conclusions: The findings of our study show that some aspects of sleep problems had negative correlations with parasympathetic activity and the regression model supports that the band power of rsEEG may be used as a potential indicator to evaluate the sleep quality in MDD patients. Significance: Cortical hyperarousal may be one of the reasons leading to poor sleep quality of MDD patients. And resting-state EEG can be used as a potential indicator for clinical assessment of MDD patients' sleep quality.

Automated summary

This study investigated the changes in sleep quality, heart rate variability (HRV), and resting-state electroencephalogram (rsEEG) in major depressive disorder (MDD) patients, and explored the use of HRV and rsEEG as convenient tools to assess sleep quality in MDD patients. The results showed that MDD patients had higher PSQI scores and lower levels of HRV compared to healthy controls. Sleep latency was negatively correlated with RMSSD and HF, and delta, theta, and alpha band power of rsEEG were higher in MDD patients. Regression analysis indicated that delta band power of TP8, as well as theta and alpha band power of AF3, could predict PSQI score in MDD patients.