Electrocortical Reactivity during Self-Referential Processing Predicts the Development of Depression across Adolescence

萧条(经济学) 反应性(心理学) 心理学 发展心理学 临床心理学 听力学 神经科学 医学 替代医学 病理 经济 宏观经济学
作者
Sarah Barkley,Greg Hajcak,Daniel N. Klein,Brady D. Nelson
出处
期刊:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging [Elsevier]
标识
DOI:10.1016/j.bpsc.2024.04.016
摘要

Negative attentional biases and self-schemas have been implicated in the development of depression. Research has indicated that a larger late positive potential (LPP) to negative self-referential words is associated with depression—as well as a maternal history of depression, an indicator of risk. However, it is unclear whether the LPP to self-referential words predicts the actual development of depression. The present study examined whether electrocortical reactivity during self-referential processing predicts the development of depression across adolescence. The sample consisted of 165 8 to 14-year-old girls with no lifetime history of a depressive disorder who completed the self-referential encoding task (SRET) while electroencephalography was recorded at a baseline assessment. Participants and their parent completed the Kiddie Schedule for Affective Disorders and Schizophrenia for School Aged Children at the baseline, 2-year, 4-year, and 6-year follow-up assessments. Results indicated that a larger LPP to negative self-referential words at baseline predicted an increased likelihood of developing chronic-intermittent depression (i.e., persistent and/or recurrent), but not non-chronic, single episode depression, across adolescence. In contrast, neither SRET recall biases nor the LPP to positive self-referential words predicted the development of either type of depression. The present study suggests that electrocortical reactivity associated with a negative self-schema in late childhood predicts the development of a more pernicious subtype of depression across adolescence. Moreover, the present study highlights the importance of considering clinical course in the examination of biomarkers of risk for depression.
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