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The Science of Deception and fMRI Lie-Detection
University of Skövde, School of Bioscience.
2014 (English)Independent thesis Basic level (degree of Bachelor), 5 credits / 7,5 HE creditsStudent thesis
Abstract [en]

Deception has long been of interest to humans, but only recently has the neuroscience of deception started. Similarly, lie-detection, as an applied aspect of the study of deception, has long been studied but only with the advent of imaging techniques and the development of the neuroscience of deception has it become possible to develop techniques based on scanningour brains. Currently, both areas suffer from methodological and philosophical problems. As an applied science fMRI lie-detection has greater issues to deal with, specifically legal and ethical issues. Despite interesting results, implicating frontal regions as the neural correlates of deception, the neuroscience of deception need better designs and more study to be able to draw any general inferences. By its nature fMRI lie-detection suffers greatly from this, and additional problems concerning privacy and legality make it seem too early to implement it incourt or anywhere, as stated by many scientists. On the other hand the technology already exists and is likely to be used.

Place, publisher, year, edition, pages
2014. , p. 48
Keywords [en]
deception, fMRI, lie-detection, methodology, neural correlates
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:his:diva-9653OAI: oai:DiVA.org:his-9653DiVA, id: diva2:732983
Subject / course
Cognitive Neuroscience
Educational program
Consciousness Studies - Philosophy and Neuropsychology
Supervisors
Examiners
Available from: 2014-08-11 Created: 2014-07-07 Last updated: 2018-01-11Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf