The Prediction of Reward Positive and Late Positive Potential to Depressive Tendency: An ERP Study

Liu Zhengjie, Zhou Xiaojuan, Li Qingxuan, Zeng Ziyang, Li Hong, Zhang Zhongming

Journal of Psychological Science ›› 2023, Vol. 46 ›› Issue (4) : 980-990.

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Journal of Psychological Science ›› 2023, Vol. 46 ›› Issue (4) : 980-990. DOI: 10.16719/j.cnki.1671-6981.202304027
Clinical Psychology & Consulting

The Prediction of Reward Positive and Late Positive Potential to Depressive Tendency: An ERP Study

  • Liu Zhengjie1,2, Zhou Xiaojuan1, Li Qingxuan1, Zeng Ziyang1, Li Hong3, Zhang Zhongming1
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Abstract

Depression is one of the most prevalent mental diseases in the world, which is characterized by continuous downcast mood, slow thinking, and decreased energy. In recent years, predicting the risk of depression through physiological technology has become a hotspot in the field of neuroscience. In the current study, two event-related potential components, the reward positive (RewP) and late positive potential (LPP), were selected as predictors of depressive tendency. The amplitude differences of individuals with or without depressive tendencies were compared by artificial dichotomy, and the predictive effect of ERP components on individual depressive tendency after one year was investigated. Finally, the prediction effectiveness of the two indicators and their conjoint prediction effectiveness are compared through the analysis of the receiver operating characteristic (ROC) curve.
Study 1 referred to the classical "simple gambling task" paradigm and compared amplitude differences under the conditions of gain and loss between groups. The reward positive was indexed as the amplitudes of gain minus amplitudes of loss. Then, amplitudes of the reward positive was used as an indicator to predict the individual's depressive tendency after one year by logistic regression. The results indicated that individuals with depressive tendency had a reduced neural response to reward feedback. The amplitude of the reward positive were significantly negatively correlated with the score of depressive symptoms. The positive reward at baseline can negatively predict one's depressive tendency one year later.
In Study 2, the amplitude of late positive potential induced by positive affective pictures, neutral affective pictures and negative affective pictures was recorded and compared between groups. The amplitudes of late positive potential induced by these three valences of pictures were used as indicators to predict the individual's depressive tendency and depressive symptom score one year later by logistic regression. The results showed that the amplitude of late positive potential induced by positive affective pictures in individuals with depressive tendencies was significantly lower than that in individuals without depressive tendencies. The amplitude of late positive potential evoked by positive affective pictures was significantly negatively correlated with depression symptom scores. The late positive potential induced by positive affective pictures can significantly and negatively predict one's depressive tendency one year later. The late positive potential may be more suitable for the horizontal diagnosis of depressive tendency than the longitudinal prediction.
Study 3 examined the efficacy of the reward positive, late positive potential induced by positive affective pictures and the Beck depression inventory-II as independent indicators of depressive tendency. The analysis of receiver operating characteristic demonstrated that these three indicators can effectively predict individual depression tendency one year later, and there was no significant difference in the prediction effectiveness among them. When the reward positive and late positive potential induced by positive affective pictures were used as the conjoint indicators of depressive tendency, its Youden-index can exceed any single indicators.
The results of this study support that there are defects in the reward circuit of depressed individuals. This study verified the effectiveness and specificity of the reward positive and late positive potential as neural indicators of individual depression tendency. The current research provides a relatively novel perspective and reference for the diagnosis and prevention of depression.

Key words

depressive tendency / reward positive / late positive potential / receiver operating characteristic curve

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Liu Zhengjie, Zhou Xiaojuan, Li Qingxuan, Zeng Ziyang, Li Hong, Zhang Zhongming. The Prediction of Reward Positive and Late Positive Potential to Depressive Tendency: An ERP Study[J]. Journal of Psychological Science. 2023, 46(4): 980-990 https://doi.org/10.16719/j.cnki.1671-6981.202304027

References

[1] 白露, 马慧, 黄宇霞, 罗跃嘉. (2005). 中国情绪图片系统的编制——在46名中国大学生中的试用. 中国心理卫生杂志, 19(11), 719-722.
[2] 游园园, 邓欣媚, 赛李阳. (2019). 儿童与成人对社会和非社会正性情绪刺激的脑电反应特征比较. 心理科学, 42(2), 313-321.
[3] APA. (2013). Diagnostic and statistical manual of mental disorders. American Psychiatric Publishing..
[4] Beck A. T., Steer R. A., & Brown G. K. (1996). Manual for the beck depression inventory-II. Psychological Corporation.
[5] Becker M. P. I., Nitsch A. M., Miltner W. H. R., & Straube T. (2014). A single-trial estimation of the feedback-related negativity and its relation to BOLD responses in a time-estimation task. The Journal of Neuroscience, 34(8), 3005-3012.
[6] Bruder G. E., Kayser J., & Tenke, C. E. (2012). Event-related brain potentials in depression: Clinical, cognitive, and neurophysiological implications. In E. S. Kappenman, & S. J. Luck (Eds.), The oxford handbook of event-related potential components. Oxford University Press.
[7] Brush C. J., Ehmann P. J., Hajcak G., Selby E. A., & Alderman B. L. (2018). Using multilevel modeling to examine blunted neural responses to reward in major depression. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(12), 1032-1039.
[8] Ellis A. J., Salgari G., Miklowitz D. J., & Loo S. K. (2019). The role of avoidance motivation in the relationship between reward sensitivity and depression symptoms in adolescents: An ERP study. Psychiatry Research, 279, 345-349.
[9] Foti D., Carlson J. M., Sauder C. L., & Proudfit G. H. (2014). Reward dysfunction in major depression: Multimodal neuroimaging evidence for refining the melancholic phenotype. NeuroImage, 101, 50-58.
[10] Foti D., Olvet D. M., Klein D. N., & Hajcak G. (2010). Reduced electrocortical response to threatening faces in major depressive disorder. Depression and Anxiety, 27(9), 813-820.
[11] Gehring, W. J., & Willoughby, A. R. (2002). The medial frontal cortex and the rapid processing of monetary gains and losses. Science, 295(5563), 2279-2282.
[12] Grasso, D. J., & Simons, R. F. (2011). Perceived parental support predicts enhanced late positive event-related brain potentials to parent faces. Biological Psychology, 86(1), 26-30.
[13] Hajcak, G., & Foti, D. (2020). Significance? Significance! Empirical, methodological, and theoretical connections between the late positive potential and p300 as neural responses to stimulus significance: An integrative review. Psychophysiology, 57(7), Article e13570.
[14] Handy T. C.(2004). Event-related potentials: A methods handbook. MIT Press.
[15] Hill K. E., South S. C., Egan R. P., & Foti D. (2019). Abnormal emotional reactivity in depression: Contrasting theoretical models using neurophysiological data. Biological Psychology, 141, 35-43.
[16] Jung T. P., Makeig S., Humphries C., Lee T. W., McKeown M. J., Iragui V., & Sejnowski T. J. (2000). Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37(2), 163-178.
[17] Klawohn J., Burani K., Bruchnak A., Santopetro N., & Hajcak G. (2021). Reduced neural response to reward and pleasant pictures independently relate to depression. Psychological Medicine, 51(5), 741-749.
[18] Kujawa A., Proudfit G. H., & Klein D. N. (2014). Neural reactivity to rewards and losses in offspring of mothers and fathers with histories of depressive and anxiety disorders. Journal of Abnormal Psychology, 123(2), 287-297.
[19] Levinson A. R., Speed B. C., & Hajcak G. (2019). Neural response to pleasant pictures moderates prospective relationship between stress and depressive symptoms in adolescent girls. Journal of Clinical Child and Adolescent Psychology, 48(4), 643-655.
[20] Liu W. H., Wang L. Z., Shang H. R., Shen Y., Li Z., Cheung E. F., & Chan, R. C. K. (2014). The influence of anhedonia on feedback negativity in major depressive disorder. Neuropsychologia, 53, 213-220.
[21] MacNamara A., Kotov R., & Hajcak G. (2016). Diagnostic and symptom-based predictors of emotional processing in generalized anxiety disorder and major depressive disorder: An event-related potential study. Cognitive Therapy and Research, 40(3), 275-289.
[22] Meyer A., Nelson B., Perlman G., Klein D. N., & Kotov R. (2018). A neural biomarker, the error-related negativity, predicts the first onset of generalized anxiety disorder in a large sample of adolescent females. Journal of Child Psychology and Psychiatry, 59(11), 1162-1170.
[23] Mueller E. M., Pechtel P., Cohen A. L., Douglas S. R., & Pizzagalli D. A. (2015). Potentiated processing of negative feedback in depression is attenuated by anhedonia. Depression and Anxiety, 32(4), 296-305.
[24] Nelson B. D., Perlman G., Klein D. N., Kotov R., & Hajcak G. (2016). Blunted neural response to rewards as a prospective predictor of the development of depression in adolescent girls. American Journal of Psychiatry, 173(12), 1223-1230.
[25] Nelson B. D., Perlman G., Hajcak G., Klein D. N., & Kotov R. (2015). Familial risk for distress and fear disorders and emotional reactivity in adolescence: An event-related potential investigation. Psychological Medicine, 45(12), 2545-2556.
[26] Obuchowski, N. A., & Bullen, J. A. (2018). Receiver operating characteristic (ROC) curves: Review of methods with applications in diagnostic medicine. Physics in Medicine and Biology, 63(7), Article 07TR01.
[27] Proudfit, G. H. (2015). The reward positivity: From basic research on reward to a biomarker for depression. Psychophysiology, 52(4), 449-459.
[28] Proudfit G. H., HajcakDunning J. P., Foti D., & Weinberg A. (2014). Temporal dynamics of emotion regulation. In J. J. Gross (Ed.), Handbook of emotion regulation (pp. 43-57). Guilford.
[29] Rottenberg J., Gross J. J., & Gotlib I. H. (2005). Emotion context insensitivity in major depressive disorder. Journal of Abnormal Psychology, 114(4), 627-639.
[30] Sandre A., Bagot R. C., & Weinberg A. (2019). Blunted neural response to appetitive images prospectively predicts symptoms of depression, and notanxiety, during the transition to university. Biological Psychology, 145, 31-41.
[31] Weinberg A., May A. M., Klonsky E. D., Kotov R., & Hajcak G. (2017). Decreased neural response to threat differentiates patients who have attempted suicide from nonattempters with current ideation. Clinical Psychological Science, 5(6), 952-963.
[32] Weinberg A., Perlman G., Kotov R., & Hajcak G. (2016). Depression and reduced neural response to emotional images: Distinction from anxiety, and importance of symptom dimensions and age of onset. Journal of Abnormal Psychology, 125(1), 26-39.
[33] Weinstein S., Obuchowski N. A., & Lieber M. L. (2005). Clinical evaluation of diagnostic tests. American Journal of Roentgenology, 184(1), 14-19.
[34] Williams, L. M. (2016). Precision psychiatry: A neural circuit taxonomy for depression and anxiety. The Lancet Psychiatry, 3(5), 472-480.
[35] Wong, M. L., & Licinio, J. (2001). Research and treatment approaches to depression. Nature Reviews Neuroscience, 2(5), 343-351.
[36] Zung, W. W. K. (1971). A rating instrument for anxiety disorders. Psychosomatics, 12(6), 371-379.
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