Detection of Concealed Stored Memories with Psychophysiological and Neuroimaging Methods

J. Peter Rosenfeld, Gershon Ben-Shakhar and Giorgio Ganis

in Memory and Law

Published in print July 2012 | ISBN: 9780199920754
Published online January 2013 | e-ISBN: 9780199950133 | DOI:

Series: Oxford Series in Neuroscience, Law, and Philosophy

Detection of Concealed Stored Memories with Psychophysiological and Neuroimaging Methods

Show Summary Details


This chapter describes the use of three types of physiological measures used to detect concealed memories. These measures may be utilized by legal authorities to detect involvement in criminal and terror activities and malingered cognitive deficits. The first set of measures records activities of the autonomic nervous system such as heart rate, skin conductance, and blood pressure as indexes of autonomic arousal accompanying confrontation with crime-related items. The second and third sets of measures record brain activity associated with recognition of intentionally concealed information. The second utilizes the P300 event-related brain potential derived from EEG and the third utilizes functional magnetic resonance imaging responses accompanying the viewing (or hearing) of crime scene details. All these measures use the guilty knowledge test (also called the concealed information test) protocol to discover concealed memories. The research literature and current status of the guilty knowledge test with the various measures are reviewed.

Keywords: Guilty Knowledge Test (GKT); Concealed Information Test (CIT); autonomic measures; electrodermal measures; cardiovascular measures; respiration changes; Orienting Response (OR); Event-Related Potential (ERP); P300; Functional Magnetic Resonance Imaging (FMRI); Complex Trial Protocol

Chapter.  17860 words.  Illustrated.

Subjects: Neuropsychology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.