Disrupted Spatiotemporal Complexity of Resting-State Electroencephalogram Dynamics Is Associated With Adaptive and Maladaptive Rumination in Major Depressive Disorder

• DOI: 10.3389/fnins.2022.829755
• Publication Date: 2022-05-09T10:12:41Z
• Authors: Jing Wang; Qi Liu; Feng Tian; Shuzhe Zhou; Mario Alfredo Parra; Huali Wang; Xin Yu
• Keywords: Dynamics

Patients with major depressive disorder (MDD) exhibit abnormal rumination, including both adaptive and maladaptive forms. However, the neural substrates of rumination in depression remain poorly understood. We hypothesize that divergent spatiotemporal complexity brain oscillations would be associated levels MDD. employed multi-scale entropy (MSE), power phase-amplitude coupling (PAC) to estimate rhythmic dynamics from eye-closed high-density electroencephalographic (EEG) data treatment-naive patients MDD (n = 24) healthy controls 22). The depressive, brooding, reflective subscales Ruminative Response Scale were assessed. showed higher MSE timescales finer than 5 (cluster P 0.038) gamma 0.034), as well lower PAC values between alpha/low beta bands 0.002- 0.021). Higher was region-specifically more localized EEG dynamics, greater scales 8 0.008), 0.018) low beta-gamma 0.042), weaker alpha-gamma 0.016- 0.029). Besides, brooding lack correlations global long-range variables. Our findings support disturbed communications point spatial reorganization networks a timescale-dependent migration toward local during These may provide potential implications on probing modulating dynamic neuronal fluctuations depression.