Combining recognition, conflict‐monitoring and feedback‐related <scp>ERPs</scp> to detect concealed autobiographical information

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.

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Publication Details

Journal
Psychophysiology
Published
2024-08-26
DOI
https://doi.org/10.1111/psyp.14664
Citations
1
Primary Topic
Deception detection and forensic psychology
Type
article
Field-Weighted Citation Impact
0.64

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article

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

Liyang Sai, Tingwen Sheng, Genyue Fu, Hong Li et al.
1 citations
Psychophysiology
Deception detection and forensic psychology
0.64
article

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

Liyang Sai, Tingwen Sheng, Genyue Fu, Hong Li, Xiaohong Lin
article en
1 citations

Abstract

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.

PsychophysiologyVol. 61(12)
Hangzhou Normal University (CN), Beijing Normal University (CN), Chinese Institute for Brain Research (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Reduced inequalities
Openalex Percentile: Top 28%
Deception detection and forensic psychology
0.64
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