Novel, ERP-based, concealed information detection: Combining recognition-based and feedback-evoked ERPs

Liyang Sai, Xiaohong Lin, J. Peter Rosenfeld, Biao Sang, Xiaoqing Hu*, Genyue Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The present study introduced a novel variant of the concealed information test (CIT), called the feedback-CIT. By providing participants with feedbacks regarding their memory concealment performance during the CIT, we investigated the feedback-related neural activity underlying memory concealment. Participants acquired crime-relevant memories via enacting a lab crime, and were tested with the feedback-CIT while EEGs were recorded. We found that probes (e.g., crime-relevant memories) elicited larger recognition-P300s than irrelevants among guilty participants. Moreover, feedback-related negativity (FRN) and feedback-P300 could also discriminate probes from irrelevants among guilty participants. Both recognition- and feedback-ERPs were highly effective in distinguishing between guilty and innocent participants (recognition-P300: AUC =.73; FRN: AUC =.95; feedback-P300: AUC =.97). This study sheds new light on brain-based memory detection, such that feedback-related neural signals can be employed to detect concealed memories.

Original languageEnglish (US)
Pages (from-to)13-22
Number of pages10
JournalBiological Psychology
Volume114
DOIs
StatePublished - Feb 1 2016

Keywords

  • Concealed information detection
  • Deception detection
  • Feedback-related negativity
  • Memory detection
  • P300

ASJC Scopus subject areas

  • Neuroscience(all)
  • Neuropsychology and Physiological Psychology

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