Abstract
Objective detection of deception was extensively studied, starting from polygraph to more modern techniques, the functional MR (fMRI), and they are based on neural (sympathetic) activation that is evoked in stressful conditions, such as lying. The role of fMRI in neurophysiology has been extensively developed and studied, and its principles lie in the correlation between the brain demand of energy during determined task and its supply. Although being extensively studied, its role for judiciary purpose presents many shortcomings.
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References
Spence SA, Hunter MD, Farrow TFD et al (2004) A cognitive neurobiological account of deception: evidence from functional neuroimaging. Philos Trans R Soc B Biol Sci 359(1451):1755–1762
Sodian B, Frith U (1992) Deception and sabotage in autistic, retarded and normal children. J Child Psychol Psychiatry 33(3):591–605
Ekman P, O’Sullivan M (1991) Who can catch a liar? Am Psychol 46:913–920
Farah MJ, Hutchinson J, Phelps EA, Wagner AD (2014) Functional MRI-based lie detection: scientific and societal challenges. Nat Rev Neurosci 15:123–131
Schafer ED (2008) In: Embar-Seddon A, Pass AD (eds) Forensic science. Salem Press, Ipswich, p 40
Ben-Shakhar G, Bar-Hillel M, Lieblich I (1986) Trial by polygraph: scientific and juridical issues in lie detection. Behav Sci Law 4:459–479
National Research Council (2003) The polygraph and lie detection. The National Academies, Washington, DC
Langleben DD, Moriarty JC (2013) Using brain imaging for lie detection: where science, law and research policy collide. Psychol Public Policy Law 19(2):222–234
Logothetis NK (2008) What we can do and what we cannot do with fMRI. Nature 453(7197):869–878
Rusconi E, Mitchener-Nissen T (2013) Prospects of functional magnetic resonance imaging as lie detector. Front Hum Neurosci 7:594
Shapiro ZE (2016) Truth, deceit, and neuroimaging: can functional magnetic resonance imaging serve as a technology-based method of lie detection? Harvard J Law Technol 29(2 Spring):528–549
Kwong KK, Belliveau JW, Chesler DA, Goldberg IE, Weisskoff RM, Poncelet BP et al (1992) Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. PNAS 89:5675–5679
Wolpe PR, Foster KR, Langleben DD (2005) Emerging neurotechnologies for lie-detection: promises and perils. Am J Bioeth 5(2):39–49
Abe N (2011) How the brain shapes deception: an integrated review of the literature. Neuroscientist 17:560–574
Gamer M (2011) Detecting of deception and concealed information using neuroimaging techniques. In: Verschuere B, BenShakhar G, Meijer E (eds) Memory detection: theory and application of the concealed information test. Cambridge University Press, New York, NY, pp 90–113
Ben-Shakhar G (2001) A critical review of the controlled question test (CQT). In: Kleiner M (ed) Handbook of polygraph testing. Academic Press, London, San Diego, pp 103–127
Ben-Shakhar G, Bar-Hillel M, Kremnitzer M (2002) Trial by polygraph: reconsidering the use of the guilty knowledge technique in court. Law Hum Behav 26:527–541
Langleben DD et al (2002) Brain activity during simulated deception: an event-related functional magnetic resonance study. NeuroImage 15:727–732
Hakun JG, Seelig D, Ruparel K, Loughead JW, Busch E, Gur RC, Langleben DD (2008) fMRI investigation of the cognitive structure of the concealed information test. Neurocase 14(1):59–67
Kozel FA, Johnson KA, Mu Q, Grenesko EL, Laken SJ, George MS (2005) Detecting deception using functional magnetic resonance imaging. Biol Psychiatry 58(8):605–613
Phelps EA (2006) Emotion and cognition: insights from studies of the human amygdala. Annu Rev Psychol 57:27–53
Bush G, Luu P, Posner MI (2000) Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci 4:215–222
Levens SM, Phelps EA (2010) Insula and orbital frontal cortex activity underlying emotion interference resolution in working memory. J Cogn Neurosci 22:2790–2803
Lee TMC, Lee TMY, Raine A, Chan CCH (2010) Lying about the valence of affective pictures: an fMRI study. PLoS One 5:e12291
Gamer M, Klimecki O, Bauermann T, Stoeter P, Vossel G (2012) fMRI-activation patterns in the detection of concealed information rely on memory-related effects. Soc Cogn Affect Neurosci 7(5):506–515
Ganis G, Rosenfeld JP, Meixner J, Kievit RA, Schendan HE (2011) Lying in the scanner: covert countermeasures disrupt deception detection by functional magnetic resonance imaging. NeuroImage 55(1):312–319
Uncapher MR, Chow T, Rissman J, Eberhart J, Wagner AD (2012) Strategic influences on memory expression: effects of countermeasures and memory strength on the neural decoding of past experience. Soc Neurosci Abstr 905.13
Rissman J, Greely HT, Wagner AD (2010) Detecting individual memories through the neural decoding of memory states and past experience. Proc Natl Acad Sci U S A 107:9849–9854
Hamann S, Turhan C (2004) Individual differences in emotion processing. Curr Opin Neurobiol 14(2):233–238
Anderson NE, Kiehl KA (2012) The psychopath magnetized: insights from brain imaging. Trends Cogn Sci 16:52–60
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La Tona, G. et al. (2020). Lie Detection: fMRI. In: Lo Re, G., Argo, A., Midiri, M., Cattaneo, C. (eds) Radiology in Forensic Medicine. Springer, Cham. https://doi.org/10.1007/978-3-319-96737-0_18
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DOI: https://doi.org/10.1007/978-3-319-96737-0_18
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