Brain Imaging Research: The Detection of Deception Utilizing HD-ERP,

Abstract

The goal of this project is to create a functioning laboratory at the University of South Carolina whose purpose was to conduct research on central nervous system mechanisms (with fMRI and HD-ERPs) involved in deceptive behavior. The most intensive part of the project was the construction of an fMRI facility within the Palmetto Health Hospital, and training for faculty and staff at the University of South Carolina who would use the fMRI as a research tool. The next goal of the project was to create a database for the storage of a large number of archived HDERP (high-density event-related potential) data sets (approximately 1000 archived cases), and the systematic storage of all future data collected at the site. The database will ultimately be available to interested researchers who wish to study detection of deception. The next goal was to develop a suite of data analysis and display tools with a graphic user interface to work with large arrays of data, and provide a test bed for specific algorithms related to CNS models of deception. Research within our laboratory assesses fMRI and HD-ERP measures of deception in parallel (not simultaneously) then employs a strategy of dipole source localization to reconcile the data. The ultimate goal of our research agenda is to test a variety of aspects of our model of deceptive behavior. Towards that end we have multiple research projects underway that apply to unique constructs within the model. These include, but are not limited to: 1). Executive function, 2) emotional traits, 3) personality traits, 4) attention switching, and 5) workload. The study targeting executive function is still in data acquisition at this time. A pilot study using HD-ERPs examining the impact of depression on deceptive behavior is in final data analysis. The study on personality traits is still in the early stages of item development. The study on attention switching has completed piloting, and is being conducted with an adequate sample size.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA484173

Entities

People

  • Jennifer M. Vendemia

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Brain
  • Central Nervous System
  • Cognition
  • Cognitive Science
  • Data Acquisition
  • Data Analysis
  • Data Mining
  • Deception
  • Detection
  • Health Services
  • Human Behavior
  • Information Science
  • Medical Personnel
  • Neuroimaging
  • Neurosciences
  • Psychology
  • User Interface

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Organizational Process Management (OPM).
  • Sensor Fusion and Tracking Systems.