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Perceived cognitive dysfunction and observed neuropsychological performance: Longitudinal relation in persons with multiple sclerosis

Published online by Cambridge University Press:  26 August 2005

CHRISTOPHER CHRISTODOULOU ,
PATRICIA MELVILLE ,
WILLIAM F. SCHERL ,
TINA MORGAN ,
WILLIAM S. MACALLISTER ,
DAWN M. CANFORA ,
STEPHEN A. BERRY  and
LAUREN B. KRUPP
CHRISTOPHER CHRISTODOULOU
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
PATRICIA MELVILLE
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
WILLIAM F. SCHERL
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
TINA MORGAN
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
WILLIAM S. MACALLISTER
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
DAWN M. CANFORA
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
STEPHEN A. BERRY
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
LAUREN B. KRUPP
Affiliation:
Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
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Abstract

The relation between self-reported cognitive dysfunction and neuropsychological performance over 24 weeks was assessed in a sample of 53 multiple sclerosis patients. Subjects were assessed at Weeks Zero and 24 as part of a clinical trial to enhance cognition. At baseline, subjects had at least mild cognitive impairment on the Rey Auditory Verbal Learning Test and an absence of depression. Neuropsychological performance was assessed with a modification of the well standardized Brief Repeatable Battery. The 5-item Perceived Deficits Questionnaire and a 2-item memory and attention/concentration questionnaire assessed self-perceived cognitive impairment. Self-assessed cognition did not correlate with neuropsychological performance at either baseline or 24 weeks. However, changes in the self-assessment measures did correlate with changes in neuropsychological performance. Patients accurately perceived some changes in their level of cognitive dysfunction, though they were insensitive to the degree of their current dysfunction. Possible explanations of this pattern of results are discussed. (JINS, 2005, 11, 614–619.)

Keywords

Multiple sclerosisCognitionNeuropsychological testsMemory deficitSelf assessment (psychology)Meta-cognitionLongitudinal study
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 11 , Issue 5 , September 2005 , pp. 614 - 619
Copyright
© 2005 The International Neuropsychological Society

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References

REFERENCES

Beatty, W.W. & Monson, N. (1991). Metamemory in multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 13, 309–327.CrossRefGoogle Scholar
Benedict, R.H., Munschauer, F., Linn, R., Miller, C., Murphy, E., Foley, F., & Jacobs, L. (2003). Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Multiple Sclerosis, 9, 95–101.CrossRefGoogle Scholar
Benedict, R.H.B., Cox, D., Thompson, L.L., Foley, F., Weinstock-Guttman, B., & Munschauer, F. (2004). Reliable screening for neuropsychological impairment in multiple sclerosis. Multiple Sclerosis, 10, 675–678.CrossRefGoogle Scholar
Bruce, J.M. & Arnett, P.A. (2004). Self-reported everyday memory and depression in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 26, 200–214.CrossRefGoogle Scholar
Chiaravalloti, N.D. & Deluca, J. (2003). Assessing the behavioral consequences of multiple sclerosis: An application of the Frontal Systems Behavior Scale (FrSBe). Cognitive and Behavioral Neurology, 16, 54–67.CrossRefGoogle Scholar
Christodoulou, C., Krupp, L.B., Liang, Z., Huang, W., Melville, P., Roque, C., Scherl, W.F., Morgan, T., MacAllister, W.S., Li, L., Tudorica, L.A., Li, X., Roche, P., & Peyster, R. (2003). Cognitive performance and MR markers of cerebral injury in cognitively impaired MS patients. Neurology, 60, 1793–1798.CrossRefGoogle Scholar
Consortium of Multiple Sclerosis Centers Health Services Research Subcommittee. (1997). Multiple sclerosis quality of life inventory (MSQLI): A user's manual. New York: National Multiple Sclerosis Society.
Deluca, J., Gaudino, E.A., Diamond, B.J., Christodoulou, C., & Engel, R.A. (1998). Acquisition and storage deficits in multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 20, 376–390.Google Scholar
Fischer, J.S., LaRocca, N.G., Miller, D.M., Ritvo, P.G., Andrews, H., & Paty, D. (1999). Recent developments in the assessment of quality of life in multiple sclerosis (MS). Multiple Sclerosis, 5, 251–259.CrossRefGoogle Scholar
Folstein, M.F., Folstein, S.E., & McHugh, P.R. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle Scholar
Gold, S.M., Heesen, C., Schulz, H., Guder, U., Monch, A., Gbadamosi, J., Buhmann, C., & Schulz, K.H. (2001). Disease specific quality of life instruments in multiple sclerosis: Validation of the Hamburg Quality of Life Questionnaire in Multiple Sclerosis (HAQUAMS). Multiple Sclerosis, 7, 119–130.CrossRefGoogle Scholar
Gold, S.M., Schulz, H., Monch, A., Schulz, K.H., & Heesen, C. (2003). Cognitive impairment in multiple sclerosis does not affect reliability and validity of self-report health measures. Multiple Sclerosis, 9, 404–410.CrossRefGoogle Scholar
Hohol, M.J., Guttmann, C.R., Orav, J., Mackin, G.A., Kikinis, R., Khoury, S.J., Jolesz, F.A., & Weiner, H.L. (1997). Serial neuropsychological assessment and magnetic resonance imaging analysis in multiple sclerosis. Archives of Neurology, 54, 1018–1025.CrossRefGoogle Scholar
Hoogervorst, E.L., van Winsen, L.M., Eikelenboom, M.J., Kalkers, N.F., Uitdehaag, B.M., & Polman, C.H. (2001). Comparisons of patient self-report, neurologic examination, and functional impairment in MS. Neurology, 56, 934–937.CrossRefGoogle Scholar
Kearns, N.P., Cruickshank, C.A., Mcguigan, K.J., Riley, S.A., Shaw, S.P., & Snaith, R.P. (1982). A comparison of depression rating-scales. British Journal of Psychiatry, 141, 45–49.CrossRefGoogle Scholar
Krupp, L.B., Christodoulou, C., Melville, P., Scherl, W.F., MacAllister, W.S., & Elkins, L.E. (2004). Donepezil improved memory in multiple sclerosis in a randomized clinical trial. Neurology, 63, 1579–1585.CrossRefGoogle Scholar
Krupp, L.B. & Elkins, L.E. (2000). Fatigue and declines in cognitive functioning in multiple sclerosis. Neurology, 55, 934–939.CrossRefGoogle Scholar
Kujala, P., Portin, R., & Ruutiainen, J. (1996). Memory deficits and early cognitive deterioration in MS. Acta Neurologica Scandinavica, 93, 329–335.CrossRefGoogle Scholar
Kurtzke, J.F. (1983). Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology, 33, 1444–1452.CrossRefGoogle Scholar
Kurtzke, J.F., Page, W.F., Murphy, F.M., & Norman, J.E. (1992). Epidemiology of multiple sclerosis in United States veterans 4: Age at onset. Neuroepidemiology, 11, 226–235.CrossRefGoogle Scholar
Kurtzke, J.F. & Wallin, M.T. (2000). Epidemiology. In J.S. Burks & K.P. Johnson (Eds.), Multiple sclerosis: Diagnosis, medical management, and rehabilitation (pp. 49–71). New York: Demos Medical Publishing, Inc.
Maor, Y., Olmer, L., & Mozes, B. (2001). The relation between objective and subjective impairment in cognitive function among multiple sclerosis patients—the role of depression. Multiple Sclerosis, 7, 131–135.Google Scholar
Marrie, R.A., Chelune, G.J., Miller, D.M., & Cohen, J.A. (2005). Subjective cognitive complaints relate to mild impairment of cognition in multiple sclerosis. Multiple Sclerosis, 11, 69–75.CrossRefGoogle Scholar
Marrie, R.A., Miller, D.M., Chelune, G.J., & Cohen, J.A. (2003). Validity and reliability of the MSQLI in cognitively impaired patients with multiple sclerosis. Multiple Sclerosis, 9, 621–626.CrossRefGoogle Scholar
Matotek, K., Saling, M.M., Gates, P., & Sedal, L. (2001). Subjective complaints, verbal fluency, and working memory in mild multiple sclerosis. Applied Neuropsychology, 8, 204–210.CrossRefGoogle Scholar
Montgomery, S.A. & Asberg, M. (1979). A new depression scale designed to be sensitive to change. British Journal of Psychiatry, 134, 382–389.CrossRefGoogle Scholar
Peyser, J.M., Edwards, K.R., Poser, C.M., & Filskov, S.B. (1980). Cognitive function in patients with multiple sclerosis. Archives of Neurology, 37, 577–579.CrossRefGoogle Scholar
Poser, C.M., Paty, D.W., Scheinberg, L., McDonald, W.I., Davis, F.A., Ebers, G.C., Johnson, K.P., Sibley, W.A., Silberberg, D.H., & Tourtellotte, W.W. (1983). New diagnostic criteria for multiple sclerosis: Guidelines for research protocols. Annals of Neurology, 13, 227–231.CrossRefGoogle Scholar
Randolph, J.J., Arnett, P.A., & Freske, P. (2004). Metamemory in multiple sclerosis: Exploring affective and executive contributors. Archives of Clinical Neuropsychology, 19, 259–279.CrossRefGoogle Scholar
Randolph, J.J., Arnett, P.A., & Higginson, C.I. (2001). Metamemory and tested cognitive functioning in multiple sclerosis. Clinical Neuropsychologist, 15, 357–368.CrossRefGoogle Scholar
Rao, S.M., & the Cognitive Function Study Group of the National Multiple Sclerosis Society. (1990). A manual for the Brief, Repeatable Battery of Neuropsychological Tests in Multiple Sclerosis. Milwaukee, WI: Section of Neuropsychology, Medical College of Wisconsin.
Rao, S.M., Leo, G.J., Bernardin, L., & Unverzagt, F. (1991a). Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology, 41, 685–691.Google Scholar
Rao, S.M., Leo, G.J., Ellington, L., Nauertz, T., Bernardin, L., & Unverzagt, F. (1991b). Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning. Neurology, 41, 692–696.Google Scholar
Schwartz, C.E., Kozora, E., & Zeng, Q. (1996). Towards patient collaboration in cognitive assessment: Specificity, sensitivity, and incremental validity of self-report. Annals of Behavioral Medicine, 18, 177–184.CrossRefGoogle Scholar
Spreen, O. & Strauss, E. (1998). A compendium of neuropsychological tests: Administration, norms, and commentary (2nd ed.). New York: Oxford University Press.
Taylor, R. (1990). Relationships between cognitive test-performance and everyday cognitive difficulties in multiple-sclerosis. British Journal of Clinical Psychology, 29, 251–252.CrossRefGoogle Scholar
Thornton, A.E. & Raz, N. (1997). Memory impairment in multiple sclerosis: A quantitative review. Neuropsychology, 11, 357–366.CrossRefGoogle Scholar
Thornton, A.E., Raz, N., & Tucker, K.A. (2002). Memory in multiple sclerosis: Contextual encoding deficits. Journal of the International Neuropsychological Society, 8, 395–409.CrossRefGoogle Scholar
Wishart, H. & Sharpe, D. (1997). Neuropsychological aspects of multiple sclerosis: A quantitative review. Journal of Clinical and Experimental Neuropsychology, 19, 810–824.CrossRefGoogle Scholar
Zakzanis, K.K. (2000). Distinct neuropsychological profiles in multiple sclerosis subtypes. Archives of Clinical Neuropsychology, 15, 115–136.CrossRefGoogle Scholar