Interview based connectivity analysis of EEG in order to detect deception

Area of Science:

• Neuroscience
• Cognitive Psychology
• Forensic Science

Background:

• Deception detection is crucial for uncovering truth.
• Understanding the neural basis of deception is an ongoing challenge.
• Brain connectivity analysis offers a novel approach to study cognitive processes during deception.

Purpose of the Study:

• To investigate the neural correlates of deception using Electroencephalography (EEG) connectivity analysis.
• To differentiate lying from truth-telling based on brain activity patterns during an interview.
• To explore the utility of functional and effective connectivity in deception detection.

Main Methods:

• Recruited 40 healthy participants for an interview protocol with open-ended questions.
• Recorded EEG signals during both lie-telling and truth-telling conditions.
• Constructed whole-brain functional and effective connectivity networks (coherence, generalized partial direct coherence, directed transfer function).

Main Results:

• Lying could be differentiated from truth-telling with 86.25% accuracy using a leave-one-person-out cross-validation method.
• Significant differences were observed in functional and effective connectivity patterns between lying and truth-telling conditions across all frequency bands.
• Specific brain regions showed distinct connectivity patterns associated with deception.

Conclusions:

• EEG-based connectivity analysis can effectively distinguish between deception and truth-telling.
• Neural patterns of deception differ significantly from truth-telling in terms of brain region interactions.
• This study provides new insights into the neural mechanisms underlying deception from a connectivity perspective.