Related Experiment Video
Updated: Jul 2, 2025

An Electrophysiology Protocol to Measure Reward Anticipation and Processing in Children
Published on: October 4, 2018
Trial-level ERPs predicted behavioral responses during self-referential processing in late childhood
Pan Liu1, Xiao Yang2, Jaron X Y Tan3
1Department of Psychology, University of Alberta, Edmonton, AB T6G 2E9, Canada.
None:
Self-referential information is uniquely salient and preferentially processed even in children. The literature has used the self-referent encoding task (SRET) combined with event-related potentials (ERPs) to study self-referential processing and its associations with youth psychopathology. However, it is unclear how the ERP and behavioral indices of SRET are associated with each other, although this knowledge can promote our mechanistic understanding of this construct and its role in psychopathology. We examined this question in 115 9- to 12-year-old children, a critical period for the development of self-related concepts. By applying a multilevel modeling approach to the trial-level data of SRET, we disaggregated the between- and within-person variability and observed within-person, but not between-person, effects of the P2 and late positive potential (LPP) on behavioral responses: a larger P2 on a given trial predicted a faster response in this trial; a larger LPP on a given trial predicted a higher likelihood of endorsing the word of this trial. We provided novel evidence on how the within-person variability of the ERPs predicted the overt responses of the SRET in children. These findings inform our mechanistic knowledge of self-referential processing and shed light on a better understanding of the role of self-referential processing in the development of psychopathology.
Related Concept Videos
Revisionist Views of Adolescent and Adult Cognition
Self-Evaluation: Self-Enhancement and Self-Verification
Piaget's Stage 4 of Cognitive Development
Abstract Reasoning and Hypothetical-Deductive Thinking
Unlike the concrete operational...
Information Processing Approach

