Abstract
Deception is a complex psychosocial engagement where the executor deliberately tries to implant a thought in the mind of another person in a manner that one accepts what executor knows as not true (Abe et al, J Cogn Neurosci 19(2):287–295, 2007; Abe, Curr Opin Neurol 22(6):594–600, 2009). Biologically, deception is a cognitive process that involves executive system of the brain for functions including but not limited to decision-making, risk taking, cognitive control, and reward processing (Ganis, Keenan, Soc Neurosci 4(6):465–472, 2009). As for the execution of any other intricate action, brain’s executive system is merely involved to infer deception but not unique to it. Hence, prior attempting to understand and frame deception as a physiological process, it is important to consider that any single biological response may not predict it, perhaps studying combination of various complex neuro-circuits shaping deception could help better understand and measure it indirectly.
While tracing neural footprints of deception, it is also important to understand various forms of deception. Deception may be hidden in various social situations. It may consist of deceiving someone entirely not aware of deceiver’s intention to deceive or may contain manipulation of both factual and fabricated information to deceive someone expecting a deceptive behavior.
For ages, man has been trying to find ways to identify valid and accurate clues linked to the deceptive behavior. The change in the human behavior, including nonverbal cues such as physical expressions and autonomic activity arousal associated with lying, has been extensively studied and utilized as deception measurement tools. Motor responses associated with deceptive behavior not only provide an additional gateway for observational assessment of deception but also highlight the phenomenon of brain’s intrinsic coordination between areas of cognitive and motor response regulation. The implications of understanding neurobiology of deception are not only relative to psychiatric practice but can also serve forensic practice and criminal law.
A major challenge associated with deception measurement tools is the sole reliance on measurement of physiological responses, which could be independent of deceptive behavior, such as secondary to stress or general anxiety associated with the situation of being assessed. In the past few decades, there has been significant advancement in the technologies available to study morphology and functioning of the brain. Imaging techniques such as functional magnetic resonance imaging (fMRI) and positron emission topographic (PET) scans have provided a new hope to study and detect deception. Although accuracy and validity of these imaging modalities to detect deception remain in question, they have provided valuable information and ways forward to understand deception as a neurobiological process.
Deceptive behavior either by a skilled or an immature executor requires coordination and organization between sets of cognitive functions. The principal areas implicated in the cognitive processing and executive functioning of the brain are rather sensitive but not specific to deception. Hence, the challenge still remains; it is not only the lying that involves cognitive function but the truth telling as well.
This chapter is focused on discussing deception from a neurological perspective and to take the reader through a journey of neural processes studied in relation to deception. It will cover the subjects comprehensively to gain an overview of potential shaping of deceptive behavior within the brain and review degree of success we have today in understanding and identifying the neural processes involved in deception.
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References
Allen JB, Mertens R. Limitations to the detection of deception: true and false recollections are poorly distinguished using an event related potential procedure. Soc Neurosci. 2009;4(6):473–90.
Aron AR, Robbins TW, Poldrack RA. Inhibition and the right inferior frontal cortex: one decade on. Trends Cogn Sci. 2014;18(4):177–85.
Abe N, Greene JD. Response to anticipated reward in the nucleus accumbens predicts behavior in an independent test of honesty. J Neurosci. 2014;34:10564–72.
Abe N, et al. Deceiving others: distinct neural responses of the prefrontal cortex and amygdala in simple fabrication and deception with social interactions. J Cogn Neurosci. 2007;19(2):287–95.
Ambrosini E, Arbula S, Rossato C, Pacella V, Vallesi A. Neuro-cognitive architecture of executive functions: a latent variable analysis. Cortex. 2019;119:441–56.
Biswal B, Zerrin Yetkin F, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med. 1995;34:537–41.
Bhutta MR, Hong MJ, Kim Y-H, Hong K-S. Single-trial lie detection using a combined fNIRS-polygraph system. Front Psychol. 2015;6:709.
Bilder RM, Volavka J, Lachman HM, et al. The catechol-O-methyltransferase polymorphism: relations to the tonic-phasic dopamine hypothesis and neuropsychiatric phenotypes. Neuropsychopharmacology. 2004;29:1943–61.
Cook G, Mitschow C. Beyond the polygraph: deception detection and the autonomic nervous system. Fed Pract. 2019;36(7):316.
Christ SE, Van Essen DC, Watson JM, Brubaker LE, McDermott KB. The contributions of prefrontal cortex and executive control to deception: evidence from activation likelihood estimate meta-analyses. Cereb Cortex. 2009;19:1557–66.
Coles MGH. In: Rugg MD, Coles MGH, editors. Electrophysiology of mind: event-related brain potentials and cognition. Oxford: Oxford University Press; 1995. p. 86–131.
Dosenbach NU, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RA, et al. Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci U S A. 2007;104:11073–8.
Pollina DA, et al. Facial skin surface temperature changes during a ‘concealed information’ test. Ann Biomed Eng. 2006;34(7):1182–9.
Denney RM, Koch H, Craig IW. Association between monoamine oxidase a activity in human male skin fibroblasts and genotype of the MAOA promoter-associated variable number tandem repeat. Hum Genet. 1999;105:542–51.
Deckert J, Catalano M, Syagailo YV, et al. Excess of high activity monoamine oxidase A gene promoter alleles in female patients with panic disorder. Hum Mol Genet. 1999;8:621–4.
Ford EB. Lie detection: historical, neuropsychiatric and legal dimensions. Int J Law Psychiatry. 2006;29(3):159–77.
Farah MJ, Hutchinson JB, Phelps EA, Wagner AD. Functional MRI based lie detection: scientific and societal challenges. Nat Rev Neurosci. 2014;15(2):123–31.
Gao JF, Yang Y, Huang WT, Lin P, Ge S, Zheng HM, Gu LY, Zhou H, Li CH, Rao NN. Exploring time-and frequency – dependant functional connectivity and brain networks during deception with single-trial event related potentials. Sci Rep. 2016;6:37065.
Garrett N, Lazzaro SC, Ariely D, Sharot T. The brain adapts to dishonesty. Nat Neurosci. 2016;19(12):1727–32.
Monteleone GT, Phan KL, Nusbaum HC, Fitzgerald D, Irick J-S. Detection of deception using fMRI: better than chance, but well below perfection. Soc Neurosci. 2009;4(6):528–38.
Ganis G, Keenan J. The cognitive neuroscience of deception. Soc Neurosci. 2009;4(6):465–72.
Greene JD, Paxton JM. Patterns of neural activity associated with honest and dishonest moral decisions. Proc Natl Acad Sci U S A. 2009;106(30):12506–11.
Tang H, Lu X, Cui Z, Feng C, Lin Q, Cui X, Su S, Liu C. Resting-state functional connectivity and deception: exploring individualized deceptive propensity by machine learning. Neuroscience. 2018;395:101–12.
Hughes C, Russell J. Autistic children’s difficulty with mental disengagement from an object: its implications for theories of autism. Dev Psychol. 1993;29(3):498–510.
Iacono WG. The detection of deception. In: Cacioppo JT, Tassinary LG, Berntson GC, editors. Handbook of psychophysiology. 2nd ed. Cambridge: Cambridge University Press; 2000. p. 772–93.
Johnson R Jr, Barnhardt J, Zhu J. The contribution of executive processes to deceptive responding. Neuropsychologia. 2004;42(7):878–901.
Jiang W, et al. Decoding the processing of lying using functional connectivity MRI. Behav Brain Funct. 2015;11:1.
Kireev M, Korotkov A, Medvedeva N, Masharipov R, Medvedev S. Deceptive but not honest manipulative actions are associated with increased interaction between middle and inferior frontal gyri. Front Neurosci. 2017;11:482.
Seong K-H, Maekawa T, Ishii S. Inheritance and memory of stress-induced epigenome change: roles played by the ATF-2 family of transcription factors. Genes Cells. 2012;17(4):249–63.
Kozel FA, Johnson KA, Mu Q, Grenesko EL, Laken SJ, George MS. Detecting deception using functional magnetic resonance imaging. Biol Psychiatry. 2005;58(8):605–13.
Lee TM, Liu HL, Tan LH, Chan CCH, Mahankali S, Feng CM, Hou J, Fox PT, Gao JH. Lie detection by functional magnetic resonance imaging. Hum Brain Mapp. 2002;15:157–64.
Lisofsky N, Kazzer P, Heekeren HR, Prehn K. Investigating socio-cognitive processes in deception: a quantitative meta-analysis of neuroimaging studies. Neuropsychologia. 2014;61:113–22.
Langleben DD, Schroeder L, Maldjian JA, Gur RC, McDonald S, Ragland JD, O’Brien CP, Childress AR. Brain activity during simulated deception: an event-related functional magnetic resonance study. NeuroImage. 2002;15:727–32.
Langleben DD, Hakun JG, Seelig D. Polygraphy and functional magnetic resonance imaging in lie detection: a controlled blind comparison using the concealed information test. J Clin Psychiatry. 2016;77(10):1372–80.
Lømo T. Discovering long-term potentiation (LTP)-recollections and reflections on what came after. Acta Physiol (Oxf). 2018;222(2):e12921. https://doi.org/10.1111/apha.12921.
Marcuse LV, Fields MC, Yoo J. Rowans Primer of EEG. 2nd ed. Edinburgh: Elsevier; 2016.
Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41:49–100.
Molenberghs P, Johnson H, Henry JD, Mattingley JB. Understanding the minds of others: a neuroimaging metaanalysis. Neurosci Biobehav Rev. 2016;65:276–91.
Botvinick MM, Braver TS, Barch DM, Carter CS, Cohen JD. Conflict monitoring and cognitive control. Psychol Rev. 2001;108(3):624–52.
Nelson R. Scientific basis for polygraph testing. Polygraph. 2015;44(1):28–61.
Nunez JM, Casey BJ, Egner T, Hare T, Hirsch J. Intentional false responding shares neural substrates with response conflict and cognitive control. NeuroImage. 2005;25:267–77.
Nash K, Gianotti LRR, Knoch D. A neural trait approach to exploring individual differences in social preferences. Front Behav Neurosci. 2015;8:458.
Park H-J, Friston K. Structural and functional brain networks: from connections to cognition. Science. 2013;(80):342.
Peteroff OA. Gaba and glutamate in the human brain. Neuroscientist. 2002;8(6):562–73.
Polich J. Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 2007;118(10):2128–48.
Salmelin R, Kujala J. Neural representation of language: activation versus long-range connectivity. Trends Cogn Sci. 2006;10(11):519–25.
Rosenfeld JP, Labkovsky E. New P300-based protocol to detect concealed information: resistance to mental countermeasures against only half the irrelevant stimuli and a possible ERP indicator of countermeasures. Psychophysiology. 2010;47(6):1002–10.
Spence SA, Kaylor-Hughes C, Farrow TFD, Wilkinson ID. Speaking of secrets and lies: the contribution of ventrolateral prefrontal cortex to vocal deception. NeuroImage. 2008;40:1411–8.
Segrave K. Lie detectors: a social history. Jefferson: McFarland & Company; 2004.
Sporns O. Contributions and challenges for network models in cognitive neuroscience. Nat Neurosci. 2014;17:652–60.
Spence SA, Farrow TFD, Herford AE, Wilkinson ID, Zheng Y, Woodruff PWR. Behavioural and functional anatomical correlates of deception in humans. Neuroreport. 2001;12(13):2849–53.
Smitha KA, Akhil Raja K, Arun KM, Rajesh PG, Thomas B, Kapilamoorthy TR, Kesavadas C. Resting state fMRI: a review on methods in resting state connectivity analysis and resting state networks. Neuroradiol J. 2017;30(4):305–17.
Spence SA, Hunter MD, Farrow TF, Green RD, Leung DH, Hughes CJ, Ganesan V. A cognitive neurobiological account of deception: evidence from functional neuroimaging. Philos Trans R Soc Lond B Biol Sci. 2004;359:1755.
Sabol SZ, Hu S, Hamer D. A functional polymorphism in the monoamine oxidase A gene promoter. Hum Genet. 1998;103:273–9.
Knösche TR, Tittgemeyer M. The role of long-range connectivity for the characterization of the functional–anatomical organization of the cortex. Front Syst Neurosci. 2011;5:58.
Timmann D, Daum I. Cerebellar contributions to cognitive functions: a progress report after two decades of research. Cerebellum. 2007;6:159–62.
United States v Scheffer, 523 US 303 (1998).
Vicianova M. Historical techniques of lie detection. Eur J Psychol. 2015;11(3):522–34.
Von Bernhardi R, et al. What is neural plasticity? Adv Exp Med Biol. 2017;1015:1–15.
Zhang X, et al. Central cholinergic system mediates working memory deficit induced by anesthesia/surgery in adult mice. Brain Behav. 2018;8(5):e00957.
Acknowledgments
I am thankful for the opportunity, support, and guidance provided by Dr. Alexander Lerman for studying and exploring psychodynamic-rich phenomenon of deception. I am thankful to my teachers and my mentor, Dr. Kyle Lapidus, my wife, and my parents for ongoing support and guidance.
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Lerman, A. (2020). Neurobiology of Deception. In: The Non-Disclosing Patient. Springer, Cham. https://doi.org/10.1007/978-3-030-48614-3_7
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