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Educing Information: Interrogation - National Intelligence University

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seek measurements that are closer to the biophysical seat of decision making.<br />

The field of neuroscience has long sought to “understand the biological basis of<br />

consciousness and the mental processes by which we perceive, act, learn, and<br />

remember” (Kandel, 2000, p. 5). Revolutionary improvements in neuroscientific<br />

techniques, combined with the sophisticated signal processing techniques made<br />

practical by advances in information processing technology over the past few<br />

decades, have made it possible to observe the neurophysiological processes of the<br />

brain itself with increasingly greater resolution in time and space.<br />

This section reviews these advanced techniques for studying the relationship<br />

between cognitive and neural processes. These include electroencephalography,<br />

magnetoencephalography, positron emission tomography, functional magnetic<br />

resonance imaging, near infrared spectroscopy, and transcranial magnetic<br />

stimulation. Empowered by these techniques, some neuroscience researchers<br />

have chosen to forgo the measurement of autonomic responses and seek instead<br />

to correlate deception and brain neurophysiology.<br />

Electroencephalography (EEG)<br />

EEG measures the changes in the electrical field potentials produced by the<br />

sum of the neural postsynaptic potentials in the brain by means of electrodes<br />

placed on the surface of the skin covering the head and face. The changes<br />

directly related to specific perceptual or cognitive events are called event-related<br />

potentials (ERPs). EEG/ERP studies require sophisticated signal processing to<br />

separate the ERP components from the ongoing baseline electrical waves and<br />

consequently require substantial computing power. EEG laboratories in the early<br />

1980s typically relied upon cumbersome, room-sized computers, while advances<br />

in information processing technology have made EEG using desktop computers<br />

a practical reality.<br />

Investigations of EEG/ERP as a means for detecting deception date back to<br />

the late 1980s. Rosenfeld et al. (1987) and Donchin and Farwell (1991) reported<br />

success using EEG techniques to identify specific ERPs that were correlated to<br />

the recognition of guilty knowledge. In 1991 the Central <strong>Intelligence</strong> Agency<br />

(CIA) funded Farwell to further develop his technique, but chose not to continue<br />

the funding after an independent panel reported in 1993 that the developer was<br />

unwilling to release details of his approach, viewing them as proprietary. Further,<br />

the CIA, Secret Service, and FBI considered the technique to be of limited value<br />

because it was based on a guilty knowledge paradigm and was therefore useless<br />

for screening applications (United States Government Accounting Office, 2001).<br />

EEG-based deception detection research is ongoing (e.g., Rosenfeld et al., 2004;<br />

Vendemia et al., 2003).<br />

Potential<br />

EEG-based approaches have the advantages of good temporal resolution,<br />

equipment that is relatively portable (at least in comparison to some of the other<br />

alternative technologies), and present few safety concerns. On the negative side,<br />

the higher density electrode arrays used in some approaches are tricky and time-<br />

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