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两年间抑郁症状增加的多种风险标志物:来自奖赏正波及错误相关负波的证据。

Multiple risk markers for increases in depression symptoms across two years: Evidence from the reward positivity and the error-related negativity.

作者信息

Panier Lidia Yan Xin, Park Juhyun, Kreitewolf Jens, Weinberg Anna

机构信息

Department of Psychology, McGill University, Montreal, Quebec, Canada.

Department of Psychology, McGill University, Montreal, Quebec, Canada; Department of Mathematics and Statistics, McGill University, Montreal, Quebec, Canada.

出版信息

Biol Psychol. 2024 Nov;193:108897. doi: 10.1016/j.biopsycho.2024.108897. Epub 2024 Nov 1.

Abstract

BACKGROUND

Both a blunted Reward Positivity (RewP) and Error-Related Negativity (ERN) have been associated with depression. Associations between these neural markers and depression have been observed cross-sectionally, but evidence that they can prospectively predict the development of, or increases in, symptoms of depression is more limited.

METHOD

In this study, we collected EEG data from 157 young adults at a baseline visit (T1), using the Doors and Flanker Tasks to elicit the RewP and the ERN respectively. Participants also reported on symptoms of depression at T1, and multiple times across two academic years (T2 - T8).

RESULTS

Using a multilevel model with the RewP and the ERN as predictors, we found that the RewP predicted future symptoms of depression, while controlling for symptoms of depression at T1, such that a blunted RewP at baseline predicted higher depressive symptoms later. In our data, however, the ERN was not a significant predictor of increases in depression symptoms.

CONCLUSIONS

These findings replicate previous work showing the RewP prospectively predicted increases in depression, and further suggest the specificity of this association. Results support the utility of the RewP as a neurophysiological marker that can help clarify the etiology of depression and inform treatment planning.

摘要

背景

奖赏正波(RewP)减弱和错误相关负波(ERN)均与抑郁症有关。这些神经标志物与抑郁症之间的关联已在横断面研究中观察到,但它们能够前瞻性地预测抑郁症症状的发展或增加的证据更为有限。

方法

在本研究中,我们在基线访视(T1)时收集了157名年轻人的脑电图数据,分别使用门任务和侧翼任务来诱发RewP和ERN。参与者还在T1以及两个学年的多个时间点(T2 - T8)报告了抑郁症症状。

结果

使用以RewP和ERN作为预测因子的多层次模型,我们发现RewP能够预测未来的抑郁症症状,同时控制T1时的抑郁症症状,即基线时RewP减弱预测后期更高的抑郁症状。然而,在我们的数据中,ERN并不是抑郁症状增加的显著预测因子。

结论

这些发现重复了先前的研究结果,表明RewP能够前瞻性地预测抑郁症的增加,并进一步表明这种关联的特异性。结果支持将RewP用作神经生理标志物,有助于阐明抑郁症的病因并为治疗计划提供信息。

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