DEVELOPMENT OF NOVEL EEG-BASED METHODOLOGY FOR INVESTIGATION OF NEURAL CORRELATES OF HUMAN DECEPTION

Abstract

IT HAS BEEN A KEEN INTEREST THROUGHOUT HUMAN HISTORY TO DETECT LIE DUE TO ITS HIGH STAKE TO THE SOCIETY. DESPITE DECADES OF RESEARCHES ON THE NEURONAL MECHANISM OF DECEPTION, THIS COMPLEX NEUROPSYCHOLOGY PHENOMENON REMAINS OBSCURE. EXISTING APPROACHES SUFFER FROM VARIOUS DRAWBACKS FOR PRACTICAL APPLICATION. AMONG ALL THE EXISTING TECHNIQUES, EEG IS SUCH A UNIQUE TOOL THAT OFFERS LOW COST, HIGH TEMPORAL RESOLUTION AND APPROPRIATE SPATIAL RESOLUTION FOR ANALYZING BRAIN ACTIVITY AND HAS GREAT PROMISE TO BE APPLIED IN LIE DETECTION. THIS THESIS HAS CONTRIBUTED FOUR NOVEL EEG-BASED METHODOLOGIES TO INVESTIGATE NEURAL CORRELATES OF DECEPTION. SPECIFICALLY, A FEEDBACK (STIMULUS) BASED AND NON-EXPERIENTIAL KNOWLEDGE TEST BASED PROTOCOLS HAVE BEEN ESTABLISHED; A SOURCE LOCALIZATION BASED, AND A FUNCTIONAL NETWORK/CONNECTIVITY BASED METHODS HAVE BEEN PROPOSED. GIVEN THE EXCITING RESULTS, THESE NOVEL METHODOLOGIES HAVE GREAT PROMISE TO EMPOWER FUTURE LIE DETECTION TECHNOLOGY AND INSPIRE THE EEG C