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Combining recognition, conflict-monitoring and feedback-related ERPs to detect concealed autobiographical information
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This study examined neural signatures associated conflict-monitoring,
recognition and feedback processing in a novel 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).
Results show that the probe (participants’ name) elicited more negative
N200, more positive recognition P300 than irrelevants among guilty
participants, and feedback following the probe elicited a larger
feedback P300 than feedback following irrelevants. Further, we found
that all indicators, including conflict-monitoring N200, recognition
P300, and feedback P300, could significantly discriminate between guilty
and innocent participants. Combining them is highly effective in
discriminating between guilty and innocent participants (AUC = 0.96).
These findings not only shed light on the neural processing of fCIT, but
also suggest the potential of using fCIT to detect concealed
autobiographical information.
Title: Combining recognition, conflict-monitoring and feedback-related ERPs to detect concealed autobiographical information
Description:
This study examined neural signatures associated conflict-monitoring,
recognition and feedback processing in a novel 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).
Results show that the probe (participants’ name) elicited more negative
N200, more positive recognition P300 than irrelevants among guilty
participants, and feedback following the probe elicited a larger
feedback P300 than feedback following irrelevants.
Further, we found
that all indicators, including conflict-monitoring N200, recognition
P300, and feedback P300, could significantly discriminate between guilty
and innocent participants.
Combining them is highly effective in
discriminating between guilty and innocent participants (AUC = 0.
96).
These findings not only shed light on the neural processing of fCIT, but
also suggest the potential of using fCIT to detect concealed
autobiographical information.
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