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Single-trial discrimination of truthful from deceptive responses during a game of financial risk using alpha-band meg signals

Academic Article
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Overview

authors

  • Seth, A. K.
  • Iversen, J. R.
  • Edelman, Gerald

publication date

  • August 2006

journal

  • Neuroimage  Journal

abstract

  • We studied whether magnetoencephalography (MEG) could detect deceptive responses on a single-subject, trial-by-trial basis. To elicit spontaneous, ecologically valid deception, we developed a paradigm in which subjects in a simulated customs setting were presented with a series of pictures of items which might be in their baggage, and for each item, they decided whether to "declare" (tell the truth) or "smuggle" (lie). Telling the truth involved a small but certain monetary penalty, whereas lying involved both greater monetary risk and greater potential reward. Most subjects showed decreased signal power in the 8-12 Hz (alpha) range during deceptive responses as compared to truthful responses. In a cross-validation analysis, we were able to use alpha power to classify truthful and deceptive responses on a trial-by-trial basis, with significantly greater predictive accuracy than that achieved using simultaneously recorded skin conductance signals. Average predictive accuracy for spontaneous deception was greater than 78%, and for some subjects, predictive accuracy exceeded 90%. Our results raise the possibility that alpha power modulation during deception may reflect risk management and/or cognitive control.

subject areas

  • Adult
  • Alpha Rhythm
  • Beta Rhythm
  • Brain
  • Brain Mapping
  • Communication
  • Deception
  • Discrimination (Psychology)
  • Female
  • Games, Experimental
  • Humans
  • Magnetoencephalography
  • Male
  • Risk-Taking
  • Theta Rhythm
  • Truth Disclosure
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Identity

International Standard Serial Number (ISSN)

  • 1053-8119

Digital Object Identifier (DOI)

  • 10.1016/j.neuroimage.2006.02.050

PubMed ID

  • 16678444
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Additional Document Info

start page

  • 465

end page

  • 476

volume

  • 32

issue

  • 1

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