Brain Imaging Research: The Detection of Deception Utilizing HD-ERP, fMRI, and Pupillometry
Annual rept. 10 Jan-10 Dec 2008
SOUTH CAROLINA UNIV COLUMBIA SCHOOL OF MEDICINE
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We have changed our data analysis strategy in two major methodological directions. First we have made the decision to work with realistic head models instead of the standard 4-shell spherical model. This will add substantial accuracy to the cortical localization of brain wave activation which is a critical step in combining fMRI and ERP data. Second, we have decided to pursue non-linear registration procedures for fMRI anatomical and functional data. The experts in the field of MR localization are unanimous in their support of non-linear approaches. This analysis strategy does not require additional data acquisition, but will improve overall accuracy of our models. We will continue data acquisition on paradigms designed to establish the impact of cognitive and neuropsychological variables on HD-ERP and fMRI. Our major findings over the past year suggest that the ratio of deceptive to truthful responses in a single interview profoundly impact prefrontal measures of deceptive responding in both ERP and fMRI data, and have implications for the way polygraph paradigms are designed. Finally, we continue with the development of questionnaire research related socio-cognitive variables related to deceptive behavior. Taxonomic research into deceptive behavior has suggested that dimensions such as harm and benefit can be used to separate types of deception. However, research in our lab has suggested that situational variables such as deception duration and modality may play much larger roles than previously thought. We have finished the design of this questionnaire and its design is being reviewed by experts in the field.
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