Psychological Injury and Law

, Volume 4, Issue 2, pp 147–156 | Cite as

A Critical Analysis of the MND Criteria for Feigned Cognitive Impairment: Implications for Forensic Practice and Research

Article

Abstract

Forensic neuropsychology continues to grapple with critical determinations of response styles, including the assessment of malingering. The development of the Malingered Neurocognitive Dysfunction (MND) model has been highly influential for both feigning research and neuropsychological practice. In striving to be a comprehensive model of malingering, MND proposes complex criteria for ascertaining possible, probable, and definite levels. In its critical review, this article suggests the possibility of an MND bias towards the over-classification of malingering. It also examines the limits of MND research to adequately test the MND model. The conceptual and empirical limitations of MND are discussed with reference to theory and neuropsychological practice.

Keywords

Malingered neurocognitive dysfunction Malingering Feigned cognitive impairment Slick criteria Daubert standard 

References

References marked with a bracketed number indicate specific studies included in Table 2

  1. Aguerrevere, L., Greve, K., Bianchini, K., & Meyers, J. (2008). Detecting malingering in traumatic brain injury and chronic pain with an abbreviated version of the Meyers Index for the MMPI-2. Archives of Clinical Neuropsychology, 23(7–8), 831–838. doi:10.1016/j.acn.2008.06.008 PubMedCrossRefGoogle Scholar
  2. American Law Institute. (1962). Model Penal Code: Proposed official draft. Philadelphia: Author.Google Scholar
  3. American Psychiatric Association. (2000). Diagnostic and Statistical Manual, Fourth Edition: Text Revision. Washington, DC: American Psychiatric Association.CrossRefGoogle Scholar
  4. [8] Ardolf, B., Denney, R., & Houston, C. (2007). Base rates of negative response bias and malingered neurocognitive dysfunction among criminal defendants referred for neuropsychological evaluation. The Clinical Neuropsychologist, 21(6), 899–916. doi:10.1080/13825580600966391 PubMedCrossRefGoogle Scholar
  5. Bailey, C., Echemendia, R., & Arnett, P. (2006). The impact and motivation on neuropsychological performance in sports-related mild traumatic brain injury. Journal of the International Neuropsychological Society, 12(4), 475–484. doi:10.1017/S1355617706060619 PubMedCrossRefGoogle Scholar
  6. Bianchini, K., Love, J., Greve, K., & Adams, D. (2005). Detection and diagnosis of malingering in electrical injury. Archives of Clinical Neuropsychology, 20(3), 365–373. doi:10.1016/j.acn.2004.09.003 PubMedCrossRefGoogle Scholar
  7. Boone, K. (2007). A reconsideration of the Slick et al. (1999) criteria for malingered neurocognitive dysfunction. In K. Boone (Ed.), Assessment of feigned cognitive impairment: a neuropsychological perspective (pp. 29–49). New York, NY USA: Guilford.Google Scholar
  8. Bush, S. S., Ruff, R. M., Troster, A. I., Barth, J. T., Koffler, S. P., Pliskin, N. H., et al. (2005). Symptom validity assessment: Practice issues and medical necessity. NAN policy & planning committee. Archives of Clinical Neuropsychology, 20, 419–426.PubMedCrossRefGoogle Scholar
  9. [4] Curtis, K., Greve, K., & Bianchini, K. (2009). The Wechsler Adult Intelligence Scale-III and malingering in traumatic brain injury: Classification accuracy in known groups. Assessment, 16(4), 401–414. doi:10.1177/1073191109338161 PubMedCrossRefGoogle Scholar
  10. [11] Curtis, K., Greve, K., Bianchini, K., & Brennan, A. (2006). California Verbal Learning Test indicators of malingered neurocognitive dysfunction: Sensitivity and specificity in traumatic brain injury. Assessment, 13(1), 46–61. doi:10.1177/1073191105285210 PubMedCrossRefGoogle Scholar
  11. [5] Curtis, K., Thompson, L., Greve, K., & Bianchini, K. (2008). Verbal fluency indicators of malingering in traumatic brain injury: Classification accuracy in known groups. The Clinical Neuropsychologist, 22(5), 930–945. doi:10.1080/13854040701563591 PubMedCrossRefGoogle Scholar
  12. Daubert v. Merrell Dow Pharmaceuticals, Inc., 509 US 579, 589 (1993).Google Scholar
  13. Delis, D., & Wetter, S. (2007). Cogniform disorder and cogniform condition: Proposed diagnoses for excessive cognitive symptoms. Archives of Clinical Neuropsychology, 22(5), 589–604. doi:10.1016/j.acn.2007.04.001 PubMedCrossRefGoogle Scholar
  14. Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., et al. (2007). Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria. Lancet Neurology, 6(8), 734–746.PubMedCrossRefGoogle Scholar
  15. Etherton, J., Bianchini, K., Greve, K., & Heinly, M. (2005). Sensitivity and specificity of reliable digit span in malingered pain-related disability. Assessment, 12(2), 130–136. doi:10.1177/1073191105274859 PubMedCrossRefGoogle Scholar
  16. Faust, D., & Ackley, M. (1998). Did you think it was going to be easy? In C. R. Reynolds (Ed.), Some methodological suggestions for the investigation and development of malingering detection techniques. Detection of malingering during head injury litigation (pp. 1–54). New York: Plenum Press.Google Scholar
  17. Greiffenstein, M., Baker, W., & Gola, T. (1994). Validation of malingered amnesia measures with a large clinical sample. Psychological Assessment, 6(3), 218–224. doi:10.1037/1040-3590.6.3.218 CrossRefGoogle Scholar
  18. [12] Greve, K., & Bianchini, K. (2006). Classification accuracy of the Portland Digit Recognition Test in traumatic brain injury: Results of a known-groups analysis. The Clinical Neuropsychologist, 20(4), 816–830. doi:10.1080/13854040500346610 PubMedCrossRefGoogle Scholar
  19. Greve, K., Bianchini, K., Black, F., Heinly, M., Love, J., Swift, D., et al. (2006). Classification accuracy of the Test of Memory Malingering in persons reporting exposure to environmental and industrial toxins: Results of a known-groups analysis. Archives of Clinical Neuropsychology, 21(5), 439–448. doi:10.1016/j.acn.2006.06.004 PubMedCrossRefGoogle Scholar
  20. [13] Greve, K., Bianchini, K., & Doane, B. (2006). Classification accuracy of the Test of Memory Malingering in traumatic brain injury: Results of a known-groups analysis. Journal of Clinical and Experimental Neuropsychology, 28(7), 1176–1190. doi:10.1080/13803390500263550 PubMedCrossRefGoogle Scholar
  21. Greve, K., Bianchini, K., Heinly, M., Love, J., Swift, D., & Ciota, M. (2008). Classification accuracy of the Portland Digit Recognition Test in persons claiming exposure to environmental and industrial toxins. Archives of Clinical Neuropsychology, 23(3), 341–350. doi:10.1016/j.acn.2007.12.001 PubMedCrossRefGoogle Scholar
  22. [14] Greve, K., Bianchini, K., Love, J., Brennan, A., & Heinly, M. (2006). Sensitivity and specificity of MMPI-2 validity scales and indicators to malingered neurocognitive dysfunction in traumatic brain injury. The Clinical Neuropsychologist, 20(3), 491–512. doi:10.1080/13854040590967144 PubMedCrossRefGoogle Scholar
  23. [17] Greve, K., Bianchini, K., Mathias, C., Houston, R., & Crouch, J. (2003). Detecting malingered performance on the Wechsler Adult Intelligence Scale: Validation of Mittenberg's approach in traumatic brain injury. Archives of Clinical Neuropsychology, 18(3), 245–260. doi:10.1016/S0887-6177(02)00137-3 PubMedGoogle Scholar
  24. [9] Greve, K., Bianchini, K., & Roberson, T. (2007). The Booklet Category Test and malingering in traumatic brain injury: Classification accuracy in known groups. The Clinical Neuropsychologist, 21(2), 318–337. doi:10.1080/13854040500488552 PubMedCrossRefGoogle Scholar
  25. [2] Greve, K., Heinly, M., Bianchini, K., & Love, J. (2009). Malingering detection with the Wisconsin Card Sorting Test in mild traumatic brain injury. The Clinical Neuropsychologist, 23(2), 343–362. doi:10.1080/13854040802054169 PubMedCrossRefGoogle Scholar
  26. [6] Greve, K., Lotz, K., & Bianchini, K. (2008). Observed versus estimated IQ as an index of malingering in traumatic brain injury: Classification accuracy in known groups. Applied Neuropsychology, 15(3), 161–169. doi:10.1080/09084280802324085 PubMedCrossRefGoogle Scholar
  27. Greve, K., Springer, S., Bianchini, K., Black, F., Heinly, M., Love, J., et al. (2007). Malingering in toxic exposure: Classification accuracy of Reliable Digit Span and WAIS-III Digit Span scaled scores. Assessment, 14(1), 12–21. doi:10.1177/1073191106295095 PubMedCrossRefGoogle Scholar
  28. Gualtieri, C., & Johnson, L. (2006). Reliability and validity of a computerized neurocognitive test battery, CNS vital signs. Archives of Clinical Neuropsychology, 21(7), 623–643. doi:10.1016/j.acn.2006.05.007 PubMedCrossRefGoogle Scholar
  29. Gunstad, J., & Suhr, J. A. (2001). “Expectation as etiology” versus “the good old days:” Postconcussion syndrome symptom reporting in athletes, headache sufferers, and depressed individuals. Journal of the International Neuropsychological Society, 7(3), 323–333. doi:10.1017/S1355617701733061 PubMedCrossRefGoogle Scholar
  30. Heilbronner, R., Sweet, J., Morgan, J., Larrabee, G., & Millis, S. (2009). American Academy of Clinical Neuropsychology consensus conference statement on the neuropsychological assessment of effort, response bias, and malingering. The Clinical Neuropsychologist, 23(7), 1093–1129. doi:10.1080/13854040903155063 PubMedCrossRefGoogle Scholar
  31. [16] Heinly, M., Greve, K., Bianchini, B., Love, J., & Brennan, A. (2005). WAIS digit span-based indicators of malingered neurocognitive dysfunction: Classification accuracy in traumatic brain injury. Assessment, 12(4), 429–444. doi:10.1177/1073191105281099 PubMedCrossRefGoogle Scholar
  32. [10] Henry, G., & Enders, C. (2007). Probable malingering and performance on the Continuous Visual Memory Test. Applied Neuropsychology, 14(4), 267-274. doi:10.1080/09084280701719245 PubMedCrossRefGoogle Scholar
  33. [15] Lange, R., Sullivan, K., & Anderson, D. (2005). Ecological validity of the WMS-III Rarely Missed Index in personal injury litigation. Journal of Clinical and Experimental Neuropsychology, 27(4), 412–424. doi:10.1080/13803390490520319 PubMedCrossRefGoogle Scholar
  34. [18] Langeluddecke, P., & Lucas, S. (2003). Quantitative measures of memory malingering on the Wechsler Memory Scale--Third edition in mild head injury litigants. Archives of Clinical Neuropsychology, 18(2), 181–197. doi:10.1016/S0887-6177(01)00195-0 PubMedGoogle Scholar
  35. Larrabee, G. (2003). Detection of malingering using atypical performance patterns on standard neuropsychological tests. The Clinical Neuropsychologist, 17(3), 410–425. doi:10.1076/clin.17.3.410.18089 PubMedCrossRefGoogle Scholar
  36. [3] Larrabee, G. (2009). Malingering scales for the Continuous Recognition Memory Test and the Continuous Visual Memory Test. The Clinical Neuropsychologist, 23(1), 167–180. doi:10.1080/13854040801968443 PubMedCrossRefGoogle Scholar
  37. Larrabee, G., Greiffenstein, M., Greve, K., & Bianchini, K. (2007). Refining diagnostic criteria for malingering. In G. J. Larrabee (Ed.), Assessment of malingered neuropsychological deficits (pp. 334–371). New York, NY USA: Oxford University Press.Google Scholar
  38. [19] Mathias, C., Greve, K., Bianchini, K., Houston, R., & Crouch, J. (2002). Detecting malingered neurocognitive dysfunction using the Reliable Digit Span in traumatic brain injury. Assessment, 9(3), 301–308. doi:10.1177/1073191102009003009 PubMedCrossRefGoogle Scholar
  39. McAvinue, L., O'Keeffe, F., McMackin, D., & Robertson, I. (2005). Impaired sustained attention and error awareness in traumatic brain injury: Implications for insight. Neuropsychological Rehabilitation, 15(5), 569–587. doi:10.1080/09602010443000119 PubMedCrossRefGoogle Scholar
  40. McKhann, G., Drachman, D. A., Folstein, M., Katzman, R., Price, D. L., & Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer's disease—report of the NINCDS–ADRDA work group under the auspices of Department of Health and Human Services Task Force on Alzheimer's disease. Neurology, 34, 939–944.PubMedGoogle Scholar
  41. Melton, G. B., Petrila, J., Poythress, N., & Slobogin, C. (2007). Psychological evaluations for the courts: A handbook for mental health professionals and lawyers (3rd ed.). New York: Guilford.Google Scholar
  42. Mittenberg, W., Patton, C., Canyock, E., & Condit, D. (2002). Base rates of malingering and symptom exaggeration. Journal of Clinical and Experimental Neuropsychology, 24(8), 1094–1102. doi:10.1076/jcen.24.8.1094.8379 PubMedCrossRefGoogle Scholar
  43. Morgan, J., & Sweet, J. J. (Eds.). (2009). Neuropsychology of malingering casebook. New York: Psychology Press.Google Scholar
  44. National Health Care Anti-Fraud Association (2008). Consumer alert: The impact of health care fraud on you. Online document accessed March 30, 2011 via http://www.nhcaa.org/eweb/dynamicPage.aspx?webcode=anti_fraud_resource_centr&wpscode=TheProblemOfHCFraud
  45. Nies, K., & Sweet, J. (1994). Neuropsychological assessment and malingering: A critical review of past and present strategies. Archives of Clinical Neuropsychology, 9(6), 501–552. doi:10.1016/0887-6177(94)90041-8 PubMedGoogle Scholar
  46. [1] Ord, J., Boettcher, A., Greve, K., & Bianchini, K. (2010). Detection of malingering in mild traumatic brain injury with the Conners' Continuous Performance Test-II. Journal of Clinical and Experimental Neuropsychology, 32(4), 380–387. doi:10.1080/13803390903066881 PubMedCrossRefGoogle Scholar
  47. [7] Ord, J., Greve, K., & Bianchini, K. (2008). Using the Wechsler Memory Scale-III to detect malingering in mild traumatic brain injury. The Clinical Neuropsychologist, 22(4), 689–704. doi:10.1080/13854040701425437 PubMedCrossRefGoogle Scholar
  48. Pankratz, L., & Erickson, R. (1990). Two views of malingering. The Clinical Neuropsychologist, 4(4), 379–389. doi:10.1080/13854049008401832 CrossRefGoogle Scholar
  49. Pomerantz, A., & Segrist, D. (2006). The influence of payment method on psychologists' diagnostic decisions regarding minimally impaired clients. Ethics & Behavior, 16(3), 253–263. doi:10.1207/s15327019eb1603_5 CrossRefGoogle Scholar
  50. Rogers, R. (2008). Clinical assessment of malingering and deception (3rd ed.). New York: Guilford.Google Scholar
  51. Rogers, R., & Bender, S. D. (2011). Evaluation of malingering and related response styles. In R. K. Otto (Ed.), Comprehensive handbook of psychology: Forensic psychology (2nd ed; vol. 11). New York: Wiley.Google Scholar
  52. Rogers, R., Gillard, N. D., Berry, D. T. R., & Granacher, R. P., Jr. (2010). Effectiveness of the MMPI-2-RF validity scales for feigned mental disorders and cognitive impairment: A known-groups study. Psychopathology and Behavioral Assessment. Advance online publication. doi:10.1007/s10862-011-9222-0
  53. Rogers, R., & Payne, J. W. (2006). Damages and rewards: Assessment of malingered disorders in compensation cases. Behavioral Sciences & the Law, 24, 645–658. doi:10.1002/bsl.687 CrossRefGoogle Scholar
  54. Rogers, R., & Reinhardt, V. (1998). Conceptualization and assessment of secondary gain. In G. P. Koocher, J. C. Norcross, & S. S. Hill III (Eds.), Psychologist's desk reference (pp. 57–62). New York: Oxford University Press.Google Scholar
  55. Rogers, R., & Shuman, D. W. (2000). Conducting insanity evaluations (2nd ed.). New York: Guilford Press.Google Scholar
  56. Rogers, R., & Shuman, D. W. (2005). Fundamentals of forensic practice: Mental health and criminal law. New York: Springer.Google Scholar
  57. Samra, J., & Koch, W. J. (2002). The monetary worth of psychological injury. In J. R. P. Ogloff (Ed.), Taking psychology and law into the twenty-first century (pp. 285–322). New York: Kluwer Academic/Plenum Publishers.Google Scholar
  58. Sartorius, N. (2002). Iatrogenic stigma of mental illness [Editorial]. British Medical Journal, 324, 1470–1471.PubMedCrossRefGoogle Scholar
  59. Schmitz, T., Rowley, H., Kawahara, T., & Johnson, S. (2006). Neural correlates of self-evaluative accuracy after traumatic brain injury. Neuropsychologia, 44(5), 762–773. doi:10.1016/j.neuropsychologia.2005.07.012 PubMedCrossRefGoogle Scholar
  60. Slick, D., Sherman, E., & Iverson, G. (1999). Diagnostic criteria for malingered neurocognitive dysfunction: Proposed standards for clinical practice and research. The Clinical Neuropsychologist, 13(4), 545–561. doi:10.1076/1385-4046(199911)13:04;1-Y;FT545 PubMedCrossRefGoogle Scholar
  61. Slick, D., Tan, J. E., Strauss, E. H., & Hultsch, D. F. (2004). Detecting malingering: A survey of experts' practices. Archives of Clinical Neuropsychology, 19, 465–473. doi:10.1016/j.acn.2003.04.001 PubMedCrossRefGoogle Scholar
  62. Sweet, J., King, J., Malina, A., Bergman, M., & Simmons, A. (2002). Documenting the prominence of forensic neuropsychology at national meetings and in relevant professional journals from 1990 to 2000. The Clinical Neuropsychologist, 16(4), 481–494. doi:10.1076/clin.16.4.481.13914 PubMedCrossRefGoogle Scholar
  63. Vallabhajosula, B., & van Gorp, W. G. (2001). Post-Daubert admissibility of scientific evidence on malingering of cognitive deficits. The Journal of the American Academy of Psychiatry and the Law, 29, 207–215.PubMedGoogle Scholar
  64. Victor, T., Boone, K., Serpa, J., Buehler, J., & Ziegler, E. (2009). Interpreting the meaning of multiple symptom validity test failure. The Clinical Neuropsychologist, 23(2), 297–313. doi:10.1080/13854040802232682 PubMedCrossRefGoogle Scholar
  65. Zuercher, M., Ummenhofer, W., Baltussen, A., & Walder, B. (2009). The use of Glasgow Coma Scale in injury assessment: A critical review. Brain Injury, 23(5), 371–384. doi:10.1080/02699050902926267 PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media, LLC. 2011

Authors and Affiliations

  1. 1.Department of PsychologyUniversity of North TexasDentonUSA
  2. 2.Department of Psychiatry & Neurobehavioral SciencesUniversity of Virginia School of MedicineCharlottesvilleUSA

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