Meerwijk Esther L, Ford Judith M, Weiss Sandra J
Department of Community Health Systems, University of California, San Francisco, 2 Koret Way No. N505, San Francisco, CA 94143-0606, USA.
San Francisco VA Medical Center, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, CA, USA.
Biol Psychol. 2015 Feb;105:106-14. doi: 10.1016/j.biopsycho.2015.01.003. Epub 2015 Jan 17.
Psychological pain is a prominent symptom of clinical depression. We asked if frontal alpha asymmetry, frontal EEG power, and frontal fractal dimension asymmetry predicted psychological pain in adults with a history of depression. Resting-state frontal EEG (F3/F4) was recorded while participants (N=35) sat upright with their eyes closed. Frontal delta power predicted psychological pain while controlling for depressive symptoms, with participants who exhibited less power experiencing greater psychological pain. Frontal fractal dimension asymmetry, a nonlinear measure of complexity, also predicted psychological pain, such that greater left than right complexity was associated with greater psychological pain. Frontal alpha asymmetry did not contribute unique variance to any regression model of psychological pain. As resting-state delta power is associated with the brain's default mode network, results suggest that the default mode network was less activated during high psychological pain. Findings are consistent with a state of arousal associated with psychological pain.
心理痛苦是临床抑郁症的一个突出症状。我们探讨了前额叶α波不对称性、前额叶脑电图功率和前额叶分形维数不对称性是否能预测有抑郁症病史成年人的心理痛苦。在参与者（N = 35）闭眼坐直时记录静息状态下的前额叶脑电图（F3/F4）。在控制抑郁症状的情况下，前额叶δ波功率可预测心理痛苦，功率较低的参与者经历的心理痛苦更大。前额叶分形维数不对称性，一种复杂性的非线性测量指标，也可预测心理痛苦，即左侧比右侧复杂性更高与更大的心理痛苦相关。前额叶α波不对称性对心理痛苦的任何回归模型均无独特贡献。由于静息状态下的δ波功率与大脑的默认模式网络相关，结果表明在心理痛苦程度较高时，默认模式网络的激活程度较低。研究结果与心理痛苦相关的唤醒状态一致。
