Table of Contents Author Guidelines Submit a Manuscript
Multiple Sclerosis International
Volume 2012, Article ID 312503, 17 pages
http://dx.doi.org/10.1155/2012/312503
Clinical Study

Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis

1Department of Neuropharmacology, Institute for Experimental Medicine, The Russian Academy of Medical Sciences, Acad. Pavlov Street 12, 197376 St. Petersburg, Russia
2Department of Psychology, Oklahoma State University, 116 N. Murray, Stillwater, OK 74078, USA
3The Jacobs Neurological Institute, Buffalo General Hospital, 100 High Street, Buffalo, NY 14203, USA
4Department of Neurology, State University of New York (SUNY) at Buffalo, Buffalo General Hospital, Suite D6, 100 High Street, Buffalo, NY 14203, USA

Received 1 November 2011; Revised 4 March 2012; Accepted 13 April 2012

Academic Editor: Peter Arnett

Copyright © 2012 Igor I. Stepanov et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Compston and A. Coles, “Multiple sclerosis,” The Lancet, vol. 372, no. 9648, pp. 1502–1517, 2008. View at Publisher · View at Google Scholar · View at Scopus
  2. D. H. Miller, P. S. Albert, F. Barkhof et al., “Guidelines for the use of magnetic resonance techniques in monitoring the treatment of multiple sclerosis,” Annals of Neurology, vol. 39, no. 1, pp. 6–16, 1996. View at Publisher · View at Google Scholar · View at Scopus
  3. E. Fisher, J. C. Lee, K. Nakamura, and R. A. Rudick, “Gray matter atrophy in multiple sclerosis: a longitudinal study,” Annals of Neurology, vol. 64, no. 3, pp. 255–265, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. R. H. B. Benedict, D. Cookfair, R. Gavett et al., “Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS),” Journal of the International Neuropsychological Society, vol. 12, no. 4, pp. 549–558, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. R. K. Heaton, L. M. Nelson, and D. S. Thompson, “Neoropsychologicl findings in relapsing—remitting and chronic—progressivd multiple sclerosis,” Journal of Consulting and Clinical Psychology, vol. 53, no. 1, pp. 103–110, 1985. View at Publisher · View at Google Scholar · View at Scopus
  6. S. M. Rao, G. J. Leo, L. Bernardin, and F. Unverzagt, “Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction,” Neurology, vol. 41, no. 5, pp. 685–691, 1991. View at Google Scholar · View at Scopus
  7. R. H. B. Benedict, R. Zivadinov, D. A. Carone et al., “Regional lobar atrophy predicts memory impairment in multiple sclerosis,” American Journal of Neuroradiology, vol. 26, no. 7, pp. 1824–1831, 2005. View at Google Scholar · View at Scopus
  8. R. H. B. Benedict, J. M. Bruce, M. G. Dwyer et al., “Neocortical atrophy, third ventricular width, and cognitive dysfunction in multiple sclerosis,” Archives of Neurology, vol. 63, no. 9, pp. 1301–1306, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. M. K. Houtchens, R. H. B. Benedict, R. Killiany et al., “Thalamic atrophy and cognition in multiple sclerosis,” Neurology, vol. 69, no. 12, pp. 1213–1223, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. R. H. B. Benedict, D. Ramasamy, F. Munschauer, B. Weinstock-Guttman, and R. Zivadinov, “Memory impairment in multiple sclerosis: correlation with deep grey matter and mesial temporal atrophy,” Journal of Neurology, Neurosurgery and Psychiatry, vol. 80, no. 2, pp. 201–206, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. N. L. Sicotte, K. C. Kern, B. S. Giesser et al., “Regional hippocampal atrophy in multiple sclerosis,” Brain, vol. 131, no. 4, pp. 1134–1141, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. J. DeLuca, E. A. Gaudino, B. J. Diamond, C. Christodoulou, and R. A. Engel, “Acquisition and storage deficits in multiple sclerosis,” Journal of Clinical and Experimental Neuropsychology, vol. 20, no. 3, pp. 376–390, 1998. View at Google Scholar · View at Scopus
  13. D. C. Delis, J. H. Kramer, E. Kaplan, and B. A. Ober, California Verbal Learning Test—Second Edition: Adult Version Manual, The Psychological Corporation, San Antonio, Tex, USA, 2000.
  14. D. C. Delis, J. H. Kramer, E. Kaplan, and B. A. Ober, California Verbal Learning Test—Adult Version, The Psychological Corporation, San Antonio, Tex, USA, 1987.
  15. R. H. B. Benedict, J. S. Fischer, C. J. Archibald et al., “Minimal neuropsychological assessment of MS patients: a consensus approach,” Clinical Neuropsychologist, vol. 16, no. 3, pp. 381–397, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Stegen, I. I. Stepanov, D. Cookfair et al., “Validity of the California verbal learning test-II in multiple sclerosis,” Clinical Neuropsychologist, vol. 24, no. 2, pp. 189–202, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. I. I. Stepanov and C. I. Abramson, “The application of the first order system transfer function for fitting the 3-arm radial maze learning curve,” Journal of Mathematical Psychology, vol. 52, no. 5, pp. 311–321, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. I. I. Stepanov, C. I. Abramson, O. T. Wolf, and A. Convit, “The application of the first order system transfer function for fitting the California Verbal Learning Test Learning Curve,” Journal of the International Neuropsychological Society, vol. 16, no. 3, pp. 443–452, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. PsychCorp, Psychological Assessment Products. Annual Catalog, Harcourt Assessment, San Antonio, Tex, USA, 2007.
  20. N. L. Leech, K. C. Barrett, G. A. Morgan et al., SPSS for Intermediate Statistics: Use and Interpretation, Psychology Press, New York, NY, USA, 3rd edition, 2008.
  21. F. S. Grodins, Control Theory and Biological Systems, Columbia University Press, New York, NY, USA, 1963.
  22. J. H. Milsum, Biological Control Systems Analysis, McGraw-Hill Book Company, New York, NY, USA, 1966.
  23. G. A. Miller, “The magical number seven, plus or minus two: some limits on our capacity for processing information,” Psychological Review, vol. 63, no. 2, pp. 81–97, 1956. View at Publisher · View at Google Scholar · View at Scopus
  24. J. W. Atkinson, “The achievement motive and recall of interrupted and completed tasks,” Journal of Experimental Psychology, vol. 46, no. 6, pp. 381–390, 1953. View at Publisher · View at Google Scholar · View at Scopus
  25. I. I. Stepanov, C. I. Abramson, and S. Warschausky, “Assessment of the learning curve from the California Verbal Learning Test-Children's Version with the first-order system transfer function,” Child Neuropsychology, vol. 17, no. 4, pp. 330–346, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. I. I. Stepanov, C. I. Abramson, K. F. Yates, and A. Convit, “The application of a mathematical model to the CVLT learning curve for patients with type 2 diabetes mellitus,” in Advances in Medicine and Biology, L. V. Berjardt, Ed., vol. 31, pp. 1–53, Nova Science, New York, NY, USA, 2011. View at Google Scholar
  27. J. H. Kramer, D. C. Delis, and M. Daniel, “Sex differences in verbal learning,” Journal of Clinical Psychology, vol. 44, no. 6, pp. 907–915, 1988. View at Google Scholar · View at Scopus
  28. J. H. Kramer, E. Kaplan, D. C. Delis, L. O'Donnell, and A. Prifitera, “Developmental sex differences in verbal learning,” Neuropsychology, vol. 11, no. 4, pp. 577–584, 1997. View at Publisher · View at Google Scholar · View at Scopus
  29. D. Cox and H. S. Waters, “Sex differences in the use of organization strategies: a developmental analysis,” Journal of Experimental Child Psychology, vol. 41, no. 1, pp. 18–37, 1986. View at Google Scholar · View at Scopus
  30. J. L. Stricker, G. G. Brown, J. Wixted, J. V. Baldo, and D. C. Delis, “New semantic and serial clustering indices for the California Verbal Learning Test-Second edition: background, rationale, and formulae,” Journal of the International Neuropsychological Society, vol. 8, no. 3, pp. 425–435, 2002. View at Publisher · View at Google Scholar · View at Scopus
  31. R. Antulov, B. Weinstock-Guttman, J. L. Cox et al., “Gender-related differences in MS: a study of conventional and nonconventional MRI measures,” Multiple Sclerosis, vol. 15, no. 3, pp. 345–354, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. C. H. Polman, S. C. Reingold, G. Edan et al., “Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”,” Annals of Neurology, vol. 58, no. 6, pp. 840–846, 2005. View at Publisher · View at Google Scholar · View at Scopus
  33. American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV-TR), Washington, DC, USA, 2000.
  34. L. D. Jacobs, K. E. Wende, C. M. Brownscheidle et al., “A profile of multiple sclerosis: the New York State Multiple Sclerosis Consortium,” Multiple Sclerosis, vol. 5, no. 5, pp. 369–376, 1999. View at Google Scholar · View at Scopus
  35. A. Achiron, G. M. Doniger, Y. Harel, N. Appleboim-Gavish, M. Lavie, and E. S. Simon, “Prolonged response times characterize cognitive performance in multiple sclerosis,” European Journal of Neurology, vol. 14, no. 10, pp. 1102–1108, 2007. View at Publisher · View at Google Scholar · View at Scopus