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Electrocortical Reactivity During Self-Referential Processing Predicts the Development of Depression Across Adolescence

  • Stony Brook University
  • Santa Clara University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: 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. In the current study, we examined whether electrocortical reactivity during self-referential processing predicted the development of depression across adolescence. Methods: 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 while electroencephalography was recorded at a baseline assessment. Participants and their parent completed the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children at the baseline and 2-, 4-, and 6-year follow-up assessments. Results: 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 nonchronic, single-episode depression, across adolescence. In contrast, neither self-referential encoding task recall biases nor the LPP to positive self-referential words predicted the development of either type of depression. Conclusions: The results of the current study suggest 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 current study highlights the importance of considering clinical course in the examination of biomarkers of risk for depression.

Original languageEnglish
Pages (from-to)958-965
Number of pages8
JournalBiological Psychiatry: Cognitive Neuroscience and Neuroimaging
Volume9
Issue number9
DOIs
StatePublished - Sep 2024

Keywords

  • Adolescence
  • Depression
  • Electroencephalography
  • Event-related potentials
  • Late positive potential
  • Self-referential encoding

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