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Interpreting patient/informant discrepancies of reported cognitive symptoms in MS

Published online by Cambridge University Press:  26 August 2005

D.A. CARONE
Affiliation:
SUNY Buffalo School of Medicine and Buffalo General Hospital, Buffalo, New York
R.H.B. BENEDICT
Affiliation:
SUNY Buffalo School of Medicine and Buffalo General Hospital, Buffalo, New York
F.E. MUNSCHAUER III
Affiliation:
SUNY Buffalo School of Medicine and Buffalo General Hospital, Buffalo, New York
I. FISHMAN
Affiliation:
SUNY Buffalo School of Medicine and Buffalo General Hospital, Buffalo, New York
B. WEINSTOCK-GUTTMAN
Affiliation:
SUNY Buffalo School of Medicine and Buffalo General Hospital, Buffalo, New York

Abstract

Although numerous studies have shown that brain-damaged patients tend to underestimate neuropsychological (NP) impairment when self-ratings are compared to informant ratings, the meaning of such discrepancies is not well studied in multiple sclerosis (MS). We compared patient self- and informant-report questionnaire ratings of NP functioning in 122 MS patients and 37 age- and education-matched normal controls. In addition to completing the Multiple Sclerosis Neuropsychological Questionnaire (MSNQ), participants underwent NP testing and assessment of depression, personality, and neuropsychiatric symptoms. Based on the normal distribution of discrepancy scores, patients were classified according to whether they overestimated or underestimated their cognitive ability, relative to informant ratings. ANOVAs comparing test scores derived from overestimators, underestimators, and accurate estimators were significant for multiple measures of cognitive function, depression, personality, and neuropsychiatric symptoms. Overestimators were characterized by less depression and conscientiousness, and greater degrees of cognitive impairment, euphoric behavioral disinhibition, and unemployment as compared to underestimators. We conclude that patient/informant discrepancy scores on the MSNQ are associated with the aforementioned neuropsychiatric features, and that the MSNQ has potential utility for predicting euphoria and disinhibition syndromes in MS. (JINS, 2005, 11, 574–583.)All authors are from the State University of New York (SUNY) at Buffalo School of Medicine, Department of Neurology, Division of Departmental and Behavioral Neurosciences, and the Jacobs Neurological Institute, Buffalo General Hospital, Buffalo, NY.

Type
Research Article
Copyright
© 2005 The International Neuropsychological Society

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References

REFERENCES

American Psychiatric Association. (1999). Diagnostic and Statistic Manual of Mental Disorders, 4th edition. (1994). Washington, DC: American Psychiatric Association.
Anderson, S.W. & Tranel, D. (1989). Awareness of disease states following cerebral infarction, dementia, and head trauma: Standardized assessment. Clinical Neuropsychologist, 3, 327339.Google Scholar
Arnett, P.A., Rao, S.M., Bernardin, L., Grafman, J., Yetkin, F.Z., & Lobeck, L. (1994). Relationship between frontal lobe lesions and Wisconsin Card Sorting Test performance in patients with multiple sclerosis. Neurology, 44, 420425.Google Scholar
Beatty, W.W. & Monson, N. (1991). Metamemory in multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 13, 309327.Google Scholar
Beck, A.T. (1993). Beck Depression Inventory. San Antonio, TX: Psychological Corporation.
Beck, A.T., Rush, A.J., Shaw, B.F., & Emery, G. (1987). Cognitive Therapy of Depression. New York: Guilford Publications, Inc.
Benedict, R.H.B. (1997). Brief Visuospatial Memory Test–Revised: Professional manual. Odessa, FL: Psychological Assessment Resources, Inc.
Benedict, R.H.B., Bakshi, R., Simon, J.H., Priore, R., Miller, C., & Munschauer, F. (2002a). Frontal cortex atrophy predicts cognitive impairment in multiple sclerosis. Journal of Neuropsychiatry & Clinical Neurosciences, 14, 4451.Google Scholar
Benedict, R.H.B., Carone, D., & Bakshi, R. (2004b). Correlating brain atrophy with cognitive dysfunction, mood disturbances, and personality disorder in multiple sclerosis. Journal of Neuroimaging, 10, 675678.Google Scholar
Benedict, R.H.B., Cox, D., Thompson, L.L., Foley, F.W., Weinstock-Guttman, B., & Munschauer, F. (2004c). Reliable screening for neuropsychological impairment in MS. Multiple Sclerosis. 10 675678Google Scholar
Benedict, R.H.B., Fischer, J.S., Archibald, C.J., Arnett, P.A., Beatty, W.W., Bobholz, J., Chelune, G.J., Fisk, J.D., Langdon, D.W., Caruso, L., Foley, F., LaRocca, N., Vowels, L., Weinstein, A., DeLuca, J., Rao, S.M., & Munschauer, F. (2002b). Minimal neuropsychological assessment of MS patients: A consensus approach. Clinical Neuropsychologist, 16, 381397.Google Scholar
Benedict, R.H.B., Munschauer, F.E., Linn, R., Miller, C., Foley, F.W., & Jacobs, L.D. (2003). Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Multiple Sclerosis, 9, 95101.Google Scholar
Benedict, R.H.B., Priore, R.L., Miller, C., Munschauer, F., & Jacobs, L. (2001a). Personality disorder in multiple sclerosis correlates with cognitive impairment. Journal of Neuropsychiatry & Clinical Neurosciences, 13, 7076.Google Scholar
Benedict, R.H.B., Shapiro, A., Priore, R.L., Miller, C., Munschauer, F.E., & Jacobs, L.D. (2001b). Neuropsychological counseling improves social behavior in cognitively-impaired multiple sclerosis patients. Multiple Sclerosis, 6, 391396.Google Scholar
Benedict, R.H., Weinstock-Guttman, B., Fishman, I., Sharma, J., Tjoa, C.W., & Bakshi, R. (2004a). Prediction of neuropsychological impairment in multiple sclerosis: Comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden. Archives of Neurology, 61, 226230.Google Scholar
Benton, A.L. & Hamsher, K. (1989). Multilingual Aphasia Examination. Iowa City, IA: AJA Associates.
Benton, A.L., Sivan, A.B., & Hamsher, K. (1994). Contributions to Neuropsychological Assessment (2nd ed.). New York: Oxford University Press.
Bermel, R.A., Bakshi, R., Tjoa, C., Puli, S.R., & Jacobs, L. (2002). Bicaudate ratio as a magnetic resonance imaging marker of brain atrophy in multiple sclerosis. Archives of Neurology, 59, 275280.Google Scholar
Bogod, N.M., Mateer, C.A., & MacDonald, S.W. (2003). Self-awareness after traumatic brain injury: A comparison of measures and their relationship to executive functions. Journal of the International Neuropsychological Society, 9, 450458.Google Scholar
Brown, S. & Davis, T.K. (1922). The mental symptoms of multiple sclerosis. Archives of Neurology and Psychiatry, 7, 629634.Google 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, 200214.Google Scholar
Charcot, J.M. (1877). Lectures on the Diseases of the Nervous System. London: New Sydenham Society.
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, 17931798.Google Scholar
Clare, L. (2004). Awareness in early-stage Alzheimer's disease: A review of methods and evidence. British Journal of Clinical Psychology, 43, 177196.Google Scholar
Corwin, J., Peselow, E., Feenan, K., Rotrosen, J., & Fieve, R. (1990). Disorders of decision bias in affective disease: An effect of beta-adrenergic dysfunction? Biological Psychiatry, 27, 813833.Google Scholar
Coryell, W., Endicott, J., & Keller, M. (1992). Major depression in a nonclinical sample. Demographic and clinical risk factors for first onset. Archives of General Psychiatry, 49, 117125.Google Scholar
Cottrell, S.S. & Wilson, S.A.K. (1926). The affective symptomatology of disseminated sclerosis. Journal of Neurology and Psychopathology, 130.Google Scholar
Cummings, J.L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D.A., & Gornbein, J. (1994). The Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia. Neurology, 44, 23082314.Google Scholar
DeBettignies, B.H., Mahurin, R.K., & Pirozzolo, F.J. (1990). Insight for impairment in independent living skills in Alzheimer's disease and multi-infarct dementia. Journal of Clinical and Experimental Neuropsychology, 12, 355363.Google Scholar
Delis, D.C., Kramer, J.H., Kaplan, E., & Ober, B.A. (2000). California Verbal Learning Test manual: Second Edition, Adult Version. San Antonio, TX: Psychological Corporation.
Diaz-Olavarrieta, C., Cummings, J.L., Velazquez, J., & Cadena, C.G. (1999). Neuropsychiatric manifestations of multiple sclerosis. Journal of Neuropsychiatry and Clinical Neurosciences, 11, 5157.Google Scholar
Duquette, P., Pleines, J., Girard, M., Charest, L., Senecal-Quevillon, M., & Masse, C. (1992). The increased susceptibility of women to multiple sclerosis. Canadian Journal of Neurological Sciences, 19, 466471.Google Scholar
Finger, S. (1998). A happy state of mind. Archives of Neurology, 55, 241250.Google Scholar
Fischer, S., Trexler, L.E., & Gauggel, S. (2004). Awareness of activity limitations and prediction of performance in patients with brain injuries and orthopedic disorders. Journal of the International Neuropsychological Society, 10, 190199.Google Scholar
Fishman, I., Benedict, R.H.B., Bakshi, R., Priore, R., & Weinstock-Guttman, B. (2004). Construct validity and frequency of euphoria sclerotica in multiple sclerosis. Journal of Neuropsychiatry & Clinical Neurosciences, 16, 350356.Google Scholar
Gasquoine, P.G. (1992). Affective state and awareness of sensory and cognitive effects after closed head injury. Neuropsychology, 6, 187196.Google Scholar
Gronwall, D.M.A. (1977). Paced auditory serial addition task: A measure of recovery from concussion. Perceptual and Motor Skills, 44, 367373.Google Scholar
Heaton, R. (1997). A manual for the Wisconsin Card Sorting Test. Odessa: FL: Psychological Assessment Resources.
Kahn, R.L. (1975). Memory complaint and impairment in the aged: The effect of depression and altered brain function. Archives of General Psychiatry, 32, 15691573.Google Scholar
Kessler, H.R., Cohen, R.A., Lauer, K., & Kausch, D.F. (1992). The relationship between disability and memory dysfunction in multiple sclerosis. International Journal of Neuroscience, 62, 1734.Google Scholar
Klonoff, P.S., O'Brien, K.P., Prigatano, G.P., & Chiapello, D.A. (1990). Cognitive retraining after traumatic brain injury and its role in facilitating awareness. Journal of Head Trauma Rehabilitation, 4, 3745.Google Scholar
Knight, R.G., Devereux, R.C., & Godfrey, H.P.D. (1997). Psychosocial consequences of caring for a spouse with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 19, 719.CrossRefGoogle Scholar
Koss, E., Patterson, M.B., Ownby, R., Stuckey, J.C., & Whitehouse, P.J. (1993). Memory evaluation in Alzheimer's disease. Caregivers' appraisals and objective testing. Archives of Neurology, 50, 9297.Google Scholar
Kotler-Cope, S. & Camp, C.J. (1995). Anosognosia in Alzheimer disease. Alzheimer Disease & Associated Disorders, 9, 5256.Google Scholar
Kurtzke, J.F. (1983). Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Annals of Neurology, 13, 227231.Google Scholar
Lublin, F.D. & Reingold, S.C. (1996). Defining the clinical course of multiple sclerosis: Results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology, 46, 907911.Google Scholar
McDonald, W.I., Compston, A., Edan, G., Goodkin, D.E., Hartung, H., Lublin, F., McFarland, H.F., Paty, D.W., Polman, L.H., Reingold, S.C., Sandberg-Wolheim, M., Sibley, W., Thompson, A., van der Noort, S., & Weinshenker, B.Y. (2001). Recommended diagnostic criteria for multiple sclerosis: Guidelines from the international panel on the diagnosis of multiple sclerosis. Annals of Neurology, 50, 121127.Google Scholar
McGlone, J., Gupta, S., Humphrey, D., Oppenheimer, S., Mirsen, T., & Evans, D.R. (1990). Screening for early dementia using memory complaints from patients and relatives. Archives of Neurology, 47, 11891193.Google Scholar
Patten, S.B., Beck, C.A., Williams, J.V., Barbui, C., & Metz, L.M. (2003a). Major depression in multiple sclerosis: A population-based perspective. Neurology, 61, 15241527.Google Scholar
Patten, S.B., Fridhandler, S., Beck, C.A., & Metz, L.M. (2003b). Depressive symptoms in a treated multiple sclerosis cohort. Multiple Sclerosis, 9, 616620.Google Scholar
Patten, S.B., Metz, L.M., & Reimer, M.A. (2000). Biopsychosocial correlates of lifetime major depression in a multiple sclerosis population. Multiple Sclerosis, 6, 115120.Google 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, 655661.Google Scholar
Prigatano, G.P. & Altman, I.M. (1990). Impaired awareness of behavioral limitations after traumatic brain injury. Archives of Physical Medicine & Rehabilitation, 71, 10581064.Google Scholar
Prigatano, G.P., Altman, I.M., & O'Brien, K.P. (1990). Behavioral limitations that traumatic-brain-injured patients tend to underestimate. Clinical Neuropsychologist, 4, 163176.Google Scholar
Prigatano, G.P. & Fordyce, D.J. (1986). The neuropsychological rehabilitation program at Presbyterian Hospital. In G.P. Prigatano (Ed.), Neuropsychological rehabilitation after brain injury (pp. 96118). Baltimore: John Hopkins University Press.
Prigatano, G.P. & Klonoff, P.S. (1989). Psychotherapy and neuropsychological assessment after brain injury. Journal of Head Trauma Rehabilitation, 3 4556.Google Scholar
Randolph, J.J., Arnett, P.A., & Higginson, C.I. (2001). Metamemory and tested cognitive functioning in multiple sclerosis. Clinical Neuropsychologist, 15, 357368.Google Scholar
Rao, S.M. (1991). A Manual for the Brief, Repeatable Battery of Neuropsychological Tests in Multiple Sclerosis.
Rao, S.M., Leo, G.J., Bernardin, L., & Unverzagt, F. (1991). Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology, 41, 685691.Google Scholar
Rao, S.M., Leo, G.J., Haughton, V.M., Aubin-Faubert, P.S., & Bernardin, L. (1989). Correlation of magnetic resonance imaging with neuropsychological testing in multiple sclerosis. Neurology, 39, 161166.Google Scholar
Riege, W.H. (1982). Self-report and tests of memory aging. Clinical Gerontologist, 1, 2336.Google Scholar
Sadovnick, A.D., Remick, R.A., Allen, J., Swartz, E., Yee, I.M.L., Eisen, K., Farquhar, R., Hashimoto, S.A., Horge, J., Kastruckoff, L.F., Morrison, W., Nelson, J., Oger, J., & Paty, D.W. (1996). Depression and multiple sclerosis. Neurology, 46, 628632.Google Scholar
Sherer, M., Boake, C., Levin, E., Silver, B.V., Ringholz, G., & High_Jr., W.M. (1998). Characteristics of impaired awareness after traumatic brain injury. Journal of the International Neuropsychological Society, 4, 380387.Google Scholar
Smith, A. (1982). Symbol Digit Modalities Test: Manual. Los Angeles, CA: Western Psychological Services.
Sunderland, A., Harris, J.E., & Baddeley, A.D. (1983). Do laboratory tests predict everyday memory? A neuropsychological study. Journal of Verbal Learning and Verbal Behavior, 22, 341357.Google Scholar
Surridge, D. (1969). An investigation into some psychiatric aspects of multiple sclerosis. British Journal of Psychiatry, 115, 749764.Google Scholar
Tabert, M.H., Albert, S.M., Borukhova-Milov, L., Camacho, Y., Pelton, G., Liu, X., Stern, Y., & Devanana, D.P. (2002). Functional deficits in patients with mild cognitive impairment: Prediction of AD. Neurology, 58, 758764.Google Scholar
Taylor, R. (1990). Relationships between cognitive test performance and everyday cognitive difficulties in multiple sclerosis. British Journal of Clinical Psychology, 29, 251253.Google Scholar
Tierney, M.C., Szalai, J.P., Snow, W.G., & Fisher, R.H. (1996). The prediction of Alzheimer disease. The role of patient and informant perceptions of cognitive deficits. Archives of Neurology, 53, 423427.Google Scholar
Van Wielingen, L.E., Tuokko, H.A., Cramer, K., Mateer, C.A., & Hultsch, D.F. (2004). Awareness of financial skills in dementia. Aging and Mental Health, 8, 374380.Google Scholar
Vogel, A., Stokholm, J., Gade, A., Andersen, B.B., Hejl, A.M., & Waldemar, G. (2004). Awareness of deficits in mild cognitive impairment and Alzheimer's disease: Do MCI patients have impaired insight? Dementia & Geriatric Cognitive Disorders, 17, 181187.Google Scholar
Wagner, M.T. & Cushman, L.A. (1994). Neuroanatomic and neuropsychological predictors of unawareness of cognitive deficit in the vascular population. Archives of Clinical Neuropsychology, 9 5769.Google Scholar
Welleford, E.A., Harkins, S.W., & Taylor, J.R. (1995). Personality change in dementia of the Alzheimer's type: Relations to caregiver personality and burden. Experimental Aging Research, 21, 295314.Google Scholar