Researchers have increasingly paid attention to the neural dynamics of depression. This study examined whether self-dependent neural variability predicts recovery from depressive symptoms. Sixty adults with depressive symptoms who were not officially diagnosed with major depressive disorder participated in this study. Participants completed functional magnetic resonance imaging (fMRI) scanning, including a resting-state and a self-reflection task. The fMRI data were used to estimate neural variability, which refers to the temporal variability in regional functional connectivity patterns. Participants then completed the Self-Construal Scale and the Beck Depression Inventory (BDI). The change in BDI scores over 3 months indicated the degree of recovery from depressive symptoms. Self-construal moderated the effects of general neural variability on predicting recovery from depressive symptoms. Interdependent individuals became less depressive with higher general neural variability, but the relationship was not significant in independent individuals. The differences in neural variability between self-related and other-related conditions also predicted recovery from depressive symptoms. The regions contributing to the prediction were mainly distributed in the default-mode network. Based on these results, the harmony between individuals’ neural dynamics and self-concept is important for recovery from depressive symptoms, which might be a foundation for individualized treatment and counseling.

中文翻译：

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自我依赖的神经变异性预测抑郁症状的恢复

研究人员越来越关注抑郁症的神经动力学。这项研究检查了自依赖神经变异性是否可以预测抑郁症状的恢复。60 名患有抑郁症状但未被正式诊断为重度抑郁症的成年人参与了这项研究。参与者完成了功能性磁共振成像 (fMRI) 扫描，包括静息状态和自我反思任务。fMRI 数据用于估计神经变异性，这是指区域功能连接模式的时间变异性。然后参与者完成了自我构念量表和贝克抑郁量表（BDI）。BDI 评分在 3 个月内的变化表明了抑郁症状的恢复程度。自我建构缓和了一般神经变异性对预测抑郁症状恢复的影响。相互依赖的个体随着一般神经变异性的增加而变得不那么抑郁，但这种关系在独立个体中并不显着。自我相关和其他相关疾病之间的神经变异性差异也预示着抑郁症状的恢复。对预测有贡献的区域主要分布在默认模式网络中。基于这些结果，个体的神经动力学和自我概念之间的和谐对于抑郁症状的恢复很重要，这可能是个体化治疗和咨询的基础。但这种关系在独立个体中并不显着。自我相关和其他相关疾病之间的神经变异性差异也预示着抑郁症状的恢复。对预测有贡献的区域主要分布在默认模式网络中。基于这些结果，个体的神经动力学和自我概念之间的和谐对于抑郁症状的恢复很重要，这可能是个体化治疗和咨询的基础。但这种关系在独立个体中并不显着。自我相关和其他相关疾病之间的神经变异性差异也预示着抑郁症状的恢复。对预测有贡献的区域主要分布在默认模式网络中。基于这些结果，个体的神经动力学和自我概念之间的和谐对于抑郁症状的恢复很重要，这可能是个体化治疗和咨询的基础。