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Updated: Jun 27, 2025

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
Published on: May 19, 2015
Electrocortical Reactivity During Self-Referential Processing Predicts the Development of Depression Across
Sarah B Barkley1, Greg Hajcak2, Daniel N Klein1
1Department of Psychology, Stony Brook University, Stony Brook, New York.
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.
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