Literature DB >> 18569734

Detecting concealed information using brain-imaging technology.

Mart Bles1, John-Dylan Haynes.   

Abstract

Many conventional techniques for revealing concealed information have focused on detecting whether a person is responding truthfully to specific questions, typically using some form of lie detector. However, lie detection has faced a number of criticisms and it is still unclear to what degree conventional lie detectors can be used to reveal concealed knowledge in applied real-world settings. Here, we review the key problems with conventional lie-detection technology and critically discuss the potential of novel techniques that aim to directly read concealed mental states out of patterns of brain activity.

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Year:  2008        PMID: 18569734     DOI: 10.1080/13554790801992784

Source DB:  PubMed          Journal:  Neurocase        ISSN: 1355-4794            Impact factor:   0.881


  14 in total

1.  Detecting individual memories through the neural decoding of memory states and past experience.

Authors:  Jesse Rissman; Henry T Greely; Anthony D Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-10       Impact factor: 11.205

Review 2.  [Lie detection and mind reading: is there a use for fMRI?: A critical survey and reflection].

Authors:  M Ruchsow; L Hermle; M Kober
Journal:  Nervenarzt       Date:  2010-09       Impact factor: 1.214

Review 3.  The brain, the science and the media. The legal, corporate, social and security implications of neuroimaging and the impact of media coverage.

Authors:  Garret O'Connell; Janet De Wilde; Jane Haley; Kirsten Shuler; Burkhard Schafer; Peter Sandercock; Joanna M Wardlaw
Journal:  EMBO Rep       Date:  2011-07-01       Impact factor: 8.807

4.  Functional MRI-based lie detection: scientific and societal challenges.

Authors:  Martha J Farah; J Benjamin Hutchinson; Elizabeth A Phelps; Anthony D Wagner
Journal:  Nat Rev Neurosci       Date:  2014-02       Impact factor: 34.870

5.  Editors' overview: Neuroethics: many voices and many stories.

Authors:  Michael Kalichman; Dena Plemmons; Stephanie J Bird
Journal:  Sci Eng Ethics       Date:  2012-09-29       Impact factor: 3.525

6.  "I know you can hear me": neural correlates of feigned hearing loss.

Authors:  Bradley McPherson; Katie McMahon; Wayne Wilson; David Copland
Journal:  Hum Brain Mapp       Date:  2011-07-14       Impact factor: 5.038

7.  Model-based feature construction for multivariate decoding.

Authors:  Kay H Brodersen; Florent Haiss; Cheng Soon Ong; Fabienne Jung; Marc Tittgemeyer; Joachim M Buhmann; Bruno Weber; Klaas E Stephan
Journal:  Neuroimage       Date:  2010-04-18       Impact factor: 6.556

8.  fMRI-activation patterns in the detection of concealed information rely on memory-related effects.

Authors:  Matthias Gamer; Olga Klimecki; Thomas Bauermann; Peter Stoeter; Gerhard Vossel
Journal:  Soc Cogn Affect Neurosci       Date:  2009-03-03       Impact factor: 3.436

Review 9.  Diagnostic neuroimaging across diseases.

Authors:  Stefan Klöppel; Ahmed Abdulkadir; Clifford R Jack; Nikolaos Koutsouleris; Janaina Mourão-Miranda; Prashanthi Vemuri
Journal:  Neuroimage       Date:  2011-11-07       Impact factor: 6.556

Review 10.  Memory and self-neuroscientific landscapes.

Authors:  Hans J Markowitsch
Journal:  ISRN Neurosci       Date:  2013-05-14
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