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    Interview based connectivity analysis of EEG in order to detect deception

    , Article Medical Hypotheses ; Volume 136 , 2020 Daneshi Kohan, M ; Motie NasrAbadi, A ; sharifi, A ; Bagher Shamsollahi, M ; Sharif University of Technology
    Churchill Livingstone  2020
    Abstract
    Deception is mentioned as an expression or action which hides the truth and deception detection as a concept to uncover the truth. In this research, a connectivity analysis of Electro Encephalography study is presented regarding cognitive processes of an instructed liar/truth-teller about identity during an interview. In this survey, connectivity analysis is applied because it can provide unique information about brain activity patterns of lying and interaction among brain regions. The novelty of this paper lies in applying an open-ended questions interview protocol during EEG recording. We recruited 40 healthy participants to record EEG signal during the interview. For each subject,... 

    EEG/PPG effective connectivity fusion for analyzing deception in interview

    , Article Signal, Image and Video Processing ; Volume 14, Issue 5 , 2020 , Pages 907-914 Daneshi Kohan, M ; Motie Nasrabadi, A ; Shamsollahi, M. B ; Sharifi, A ; Sharif University of Technology
    Springer  2020
    Abstract
    In this research, the interaction between electroencephalogram (EEG) and, a cardiac parameter, photoplethysmogram (PPG), using connectivity measures to emphasize the importance of autonomic nervous system over the central nervous system during a deception is investigated. In this survey, connectivity analysis was applied, since it can provide information flow of brain regions; moreover, lying and truth appear to be cohered with the flow of information in the brain. Initially, a new wavelet-based approach for EEG/PPG effective connectivity fusion was introduced; then, it was validated for 41 subjects. For each subject, after extracting specific wavelet component of EEG and PPG signals, an...