Combining recognition, conflict‐monitoring and feedback‐related ERPs to detect concealed autobiographical information

• Published in: Psychophysiology 2024-12, Vol.61 (12), p.e14664-n/a
• Main Authors: Lin, Xiaohong Allison, Li, Hong, Sheng, Tingwen, Fu, Genyue, Sai, Liyang
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; concealed information test; Conflict, Psychological; Deception; EEG; Electroencephalography; Event-related potentials; Event-Related Potentials, P300 - physiology; Evoked Potentials - physiology; Feedback; feedback P300; Feedback, Psychological - physiology; Female; FRN; Guilt; Humans; Information processing; Lie Detection; Male; Memory, Episodic; N200; P300; principal component analysis; Recognition, Psychology - physiology; Young Adult
• ISSN: 0048-5772; 1469-8986; 1469-8986; 1540-5958
• DOI: 10.1111/psyp.14664

This study examined the neural signatures associated with conflict‐monitoring, recognition and feedback processing in a feedback Concealed Information Test (fCIT), and also examined whether all the ERPs can be used to detect concealed autobiographical information. Participants were randomly assigned to one of two groups (guilty or innocent) and then tested in the fCIT while undergoing electroencephalograms (EEGs). The results showed that the probe (participants' name) elicited a more negative N200, and a more positive recognition P300 than irrelevants among guilty participants. Additionally, feedback following the probe elicited a larger feedback P300 than feedback following irrelevants. Further, we found that three indicators, including the conflict‐monitoring N200, recognition P300, and feedback P300, could significantly discriminate between guilty and innocent participants, whereas the FRN could not. Combining them is highly effective in discriminating between guilty and innocent participants (AUC = 0.91). These findings not only shed light on the neural processing of the fCIT but also suggest the potential of using the fCIT to detect concealed autobiographical information. This study initially investigated neural signatures associated with conflict monitoring, recognition, and feedback processing in a fCIT using PCA. We identified three indicators, including the conflict‐monitoring N200, recognition‐P300, and feedback‐P300, that can effectively detect concealed autobiographical information, while the FRN could not. Combining them could lead to a high AUC of 0.91.