Forensic neurosciences: From basic research to applications and pitfalls

Current Opinion in Neurology

Volumn 24, Issue 4, 2011, Pages 371-377

  Sartori, Giuseppe ^a   Pellegrini, Silvia ^b   Mechelli, Andrea ^c  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF PISA   (Italy)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

criminal system; genetics; law; neuroscience

Indexed keywords

AMINE OXIDASE (FLAVIN CONTAINING) ISOENZYME A; CATECHOL METHYLTRANSFERASE;

ANTERIOR CINGULATE; ARTICLE; AUTOBIOGRAPHICAL MEMORY; COGNITION; CRIMINAL BEHAVIOR; CRIMINAL LAW; FORENSIC PSYCHIATRY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LEGAL LIABILITY; MEDICAL ETHICS; MEMORY CONSOLIDATION; MENTAL DISEASE; PREFRONTAL CORTEX; PSYCHOLOGIC ASSESSMENT; SUPPORT VECTOR MACHINE;

BRAIN; DECEPTION; DIAGNOSTIC IMAGING; FORENSIC PSYCHIATRY; HUMANS; MEMORY; MOLECULAR BIOLOGY; NEUROSCIENCES; RESEARCH;

EID: 79960824248     PISSN: 13507540     EISSN: 14736551     Source Type: Journal    
DOI: 10.1097/WCO.0b013e3283489754     Document Type: Article

References (61)

1. Aronson JD. Brain imaging, culpability and the juvenile death penalty. Psychol Public Policy Law 2007; 13:115-142.
2. Hallett M. Volitional control of movement: the physiology of free will. Clin Neurophysiol 2007; 118:1179-1192. (Pubitemid 46727113)
3. Libet B, Gleason CA, Wright EW, Pearl DK. Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential). The unconscious initiation of a freely voluntary act. Brain 1983; 106:623-642. (Pubitemid 13051164)
4. Haggard P, Eimer M. On the relation between brain potentials and the awareness of voluntary movements. Exp Brain Res 1999; 126:128-133. (Pubitemid 29192221)
5. Haynes JD, Sakai K, Rees G, et al. Reading hidden intentions in the human brain. Curr Biol 2007; 17:323-328. (Pubitemid 46241875)
6. Soon CS, Brass M, Heinze HJ, Haynes JD. Unconscious determinants of free decisions in the human brain. Nat Neurosci 2008; 11:543-545. (Pubitemid 351595206)
7. Roskies AL. How does neuroscience affect our conception of volition? Annu Rev Neurosci 2010; 33:109-130.
8. Haggard P, Clark S. Intentional action: conscious experience and neural prediction. Conscious Cogn 2003; 12:695-707. (Pubitemid 37491357)
9. Kühn S, Brass M. When doing nothing is an option: the neural correlates of deciding whether to act or not. Neuroimage 2009; 46:1187-1193.
10. Banks WP, Isham EA. We infer rather than perceive the moment we decided to act. Psychol Sci 2009; 20:17-21.
11. Rigoni D, Kü hn S, Sartori G, Brass M. Inducing disbelief in free will alters brain correlates of preconscious motor preparation: the brain minds whether we believe in free will or not. Psychol Sci 2011; 22:613-618.
12. Meynen G. Free will and psychiatric assessments of criminal responsibility: a parallel with informed consent. Med Healthcare Philos 2010; 13:313-320.
13. Castiello U, Paulignan Y, Jeannerod M. Temporal dissociation of motor responses and subjective awareness. A study in normal subjects. Brain 1991; 114 (Pt 6):2639-2655.
14. Miller J, Shepherdson P, Trevana J. Effects of clock monitoring on electroencephalographic activity: is unconscious movement initiation an artifact of the clock? Psychol Sci 2011; 22:103-109.
15. Ferguson CJ. Genetic contributions to antisocial personality and behavior: a meta-analytic review from an evolutionary perspective. J Soc Psychol 2010; 150:160-180.
16. Nordquist N, Oreland L. Serotonin, genetic variability, behaviour, and psychiatric disorders-a review. Ups J Med Sci 2010; 115:2-10.
17. Heils A, Teufel A, Petri S, et al. Allelic variation of human serotonin transporter gene expression. J Neurochem 1996; 66:2621-2624. (Pubitemid 26159101)
18. Volavka J, Bilder R, Nolan K. Catecholamines and aggression: the role of COMT and MAO polymorphisms. Ann N Y Acad Sci 2004; 1036:393-398. (Pubitemid 40576108)
19. Lachman HM, Papolos DF, Saito T, et al. Human catechol-O- methyltransferase pharmacogenetics: description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics 1996; 6:243-250. (Pubitemid 26226317)
20. Sabol SZ, Hu S, Hamer D. A functional polymorphism in the monoamine oxidase A gene promoter. Hum Genet 1998; 103:273-279. (Pubitemid 28470076)
21. Lesch KP, Bengel D, Heils A, et al. Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science 1996; 274:1527-1531. (Pubitemid 26403928)
22. Caspi A, McClay J, Moffitt TE, et al. Role of genotype in the cycle of violence in maltreated children. Science 2002; 297:851-854. (Pubitemid 34839638)
23. Caspi A, Sugden K, Moffitt TE, et al. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 2003; 301:386-389. (Pubitemid 36877077)
24. Nilsson KW, Sjoberg RL, Damberg M, et al. Role of monoamine oxidase A genotype and psychosocial factors in male adolescent criminal activity. Biol Psychiatry 2006; 59:121-127. (Pubitemid 43117501)
25. Nilsson KW, Wargelius HL, Sjoberg RL, et al. The MAO-A gene, platelet MAO-B activity and psychosocial environment in adolescent female alcohol-related problem behaviour. Drug Alcohol Depend 2008; 93: 51-62. (Pubitemid 350236589)
26. Sjoberg RL, Nilsson KW, Nordquist N, et al. Development of depression: sex and the interaction between environment and a promoter polymorphism of the serotonin transporter gene. Int J Neuropsychopharmacol 2006; 9:443-449. (Pubitemid 43979704)
27. Lau JY, Goldman D, Buzas B, et al. Amygdala function and 5-HTT gene variants in adolescent anxiety and major depressive disorder. Biol Psychiatry 2009; 65:349-355.
28. Olsson CA, Byrnes GB, Anney RJ, et al. COMT Val(158)Met and 5HTTLPR functional loci interact to predict persistence of anxiety across adolescence: results from the Victorian Adolescent Health Cohort Study. Genes Brain Behav 2007; 6:647-652. (Pubitemid 47476191)
29. Bevilacqua L, Doly S, Kaprio J, et al. A population-specific HTR2B stop codon predisposes to severe impulsivity. Nature 2010; 468:1061-1067.
30. Meyer-Lindenberg A, Buckholtz JW, Kolachana B, et al. Neural mechanisms of genetic risk for impulsivity and violence in humans. Proc Natl Acad Sci USA 2006; 103:6269-6274.
31. Koenigs M, Baskin-Sommers A, Zeier J, Newman JP. Investigating the neural correlates of psychopathy: a critical review. Mol Psychiatry 2010 [Epub ahead of print]. This article provides a critical review of structural and functional studies of psychopathy and discusses strategies for resolving the main methodological issues that may have contributed to the heterogeneity of the current findings.
32. Birbaumer N, Veit R, Lotze M, et al. Deficient fear conditioning in psychopathy: a functional magnetic resonance imaging study. Arch Gen Psychiatry 2005; 62:799-805. (Pubitemid 41002763)
33. Glenn AL, Raine A, Schug RA. The neural correlates of moral decision-making in psychopathy. Mol Psychiatry 2009; 14:5-6.
34. Rilling JK, Glenn AL, Jairam MR, et al. Neural correlates of social cooperation and noncooperation as a function of psychopathy. Biol Psychiatry 2007; 61:1260-1271. (Pubitemid 46726257)
35. Mü ller JL, Sommer M, Wagner V, et al. Abnormalities in emotion processing within cortical and subcortical regions in criminal psychopaths: evidence from a functional magnetic resonance imaging study using pictures with emotional content. Biol Psychiatry 2003; 54:152-162. (Pubitemid 36859775)
36. Blair RJ. Neuroimaging of psychopathy and antisocial behavior: a targeted review. Curr Psychiatry Rep 2010; 12:76-82.
37. Raine A. From genes to brain to antisocial behaviour. Curr Dir Psychol Sci 2008; 17:323-328.
38. Pacheco J, Beevers CG, Benavides C, et al. Frontal-limbic white matter pathway associations with the serotonin transporter gene promoter region (5-HTTLPR) polymorphism. J Neurosci 2009; 29:6229-6233.
39. Pezawas L, Meyer-Lindenberg A, Drabant EM, et al. 5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression. Nat Neurosci 2005; 8:828-834. (Pubitemid 43085851)
40. Buckholtz JW, Callicott JH, Kolachana B, et al. Genetic variation in MAOA modulates ventromedial prefrontal circuitry mediating individual differences in human personality. Mol Psychiatry 2008; 13:313-324. (Pubitemid 351272649)
41. Rigoni D, Pellegrini S, Mariotti V, et al. How neuroscience and behavioral genetics improve psychiatric assessment: report on a violent murder case. Front Behav Neurosci 2010; 4:160-169.
42. Creaton A, Liew D, Knott J, Wright M. Interrater reliability of the Australasian Triage Scale for mental health patients. Emerg Med Australas 2008; 20:468-474.
43. Bernet W, Vnencak-Jones L, Farahany N, Montgomery AS. Bad nature, bad nurture, and testimony regarding MAOA and SLC6A4 genotyping at murder trials. J Forensic Sci 2007; 52:1362-1371. (Pubitemid 350243435)
44. Vapnik V. The nature of statistical learning theory 1995; New York: Springer-Verlag.
45. Fan Y, Resnick SM, Wu X, Davatzikos C. Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study. Neuroimage 2008; 41:277-285.
46. Koutsouleris N, Meisenzahl EM, Davatzikos C, et al. Use of neuroanatomica pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Arch Gen Psychiatry 2009; 66:700-712.
47. Ecker C, Marquand A, Mourão-Miranda J, et al. Describing the brain in autism in five dimensions-magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach. J Neurosci 2010; 30:10612-10623.
48. Gong Q, Wu Q, Scarpazza C, et al. Prognostic prediction of therapeutic response in depression using high-field MR imaging. Neuroimage 2011; 55:1497-1503.
49. Yang H, Liu J, Sui J, et al. A hybrid machine learning method for fusing fMRI and genetic data: combining both improves classification of schizophrenia. Front Hum Neurosci 2010; 4:192.
50. Brown T, Murphy E. Through a scanner darkly: functional neuroimaging as evidence of a criminal defendant's past mental states. Stanford Law Rev 2010; 62:1119-1208.
51. Schauer F. Neuroscience, lie-detection, and the law: contrary to the prevailing view, the suitability of brain-based lie-detection for courtroom or forensic use should be determined according to legal and not scientific standards. Trends Cogn Sci 2010; 14:101-103.
52. Schweitzer NJ, Saks MJ, Murphy ER, et al. Neuroimages as evidence in a mens rea defense: no impact. Psychology, Public Policy and Law (in press).
53. Lie CH, Specht K, Marshall JC, et al. Using fMRI to decompose the neural processes underlying the Wisconsin Card Sorting Test. Neuroimage 2006; 30:1038-1049.
54. Davatzikos C, Ruparel K, Fan Y, et al. Classifying spatial patterns of brain activity with machine learning methods: application to lie detection. Neuroimage 2005; 28:663-668. (Pubitemid 41540374)
55. Sartori G, Agosta S, Zogmaister C, et al. How to accurately detect autobiographical events. Psychol Sci 2008; 19:772-780.
56. Nahari G, Ben-Shakhar G. Psychophysiological and behavioral measures for detecting concealed information: the role of memory for crime details. Psychophysiology 2011; 48:733-744.
57. Winograd MR, Rosenfeld JP. Mock crime application of the complex trial protocol (CTP) P300-based concealed information test. Psychophysiology 2010; 48:155-161.
58. Ganis G, Rosenfeld JP, Meixer J, et al. Lying in the scanner: covert countermeasures disrupt deception detection by functional magnetic resonance imaging. Neuroimage 2011; 55:312-319.
59. Rissman J, Greely HT, Wagner AD. Detecting individual memories through the neural decoding of memory states and past experience. Proc Natl Acad Sci USA 2010; 107:9849-9854.
60. Rosenfeld JP, Soskins M, Bosh G, Tyan A. Simple, effective countermeasures to P300-based tests of detection of concealed information. Psychophysiology 2004; 41:205-219. (Pubitemid 38524093)
61. Agosta S, Ghirardi V, Zogmaister C, et al. Detecting fakers of the autobiographical IAT. Appl Cogn Psychol 2011; 25:299-306.