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Working memory deficits in chronic fatigue syndrome: Differentiating between speed and accuracy of information processing

Published online by Cambridge University Press:  06 February 2004

JOHN DELUCA ,
CHRISTOPHER CHRISTODOULOU ,
BRUCE J. DIAMOND ,
ELLIOT D. ROSENSTEIN ,
NEIL KRAMER  and
BENJAMIN H. NATELSON
JOHN DELUCA
Affiliation:
Department of Physical Medicine and Rehabilitation, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, New Jersey Department of Neurosciences, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, New Jersey Neuropsychology and Neuroscience Laboratory, Kessler Medical Rehabilitation Research and Education Corporation, West Orange, New Jersey
CHRISTOPHER CHRISTODOULOU
Affiliation:
Department of Physical Medicine and Rehabilitation, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, New Jersey Neuropsychology and Neuroscience Laboratory, Kessler Medical Rehabilitation Research and Education Corporation, West Orange, New Jersey Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York
BRUCE J. DIAMOND
Affiliation:
Neuropsychology and Neuroscience Laboratory, Kessler Medical Rehabilitation Research and Education Corporation, West Orange, New Jersey Department of Psychology, William Paterson University, Wayne, New Jersey
ELLIOT D. ROSENSTEIN
Affiliation:
Department of Internal Medicine, Mount Sinai School of Medicine, New York, New York
NEIL KRAMER
Affiliation:
Department of Internal Medicine, Mount Sinai School of Medicine, New York, New York
BENJAMIN H. NATELSON
Affiliation:
Department of Neurosciences, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, New Jersey
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Abstract

To examine the relative influence of speed of information processing versus working memory ability, CFS participants with psychiatric comorbidity (CFS–Psych) and CFS without a psychiatric history (CFS–noPsych) were examined on tests of visual and auditory processing speed and visual and auditory working memory. Compared to healthy controls (HC) and a group of participants with rheumatoid arthritis (RA), the CFS–noPsych group displayed significantly reduced performance on tests of information processing speed, but not on tests of working memory. No significant differences were observed between the CFS–Psych group and any other group in the study. The implications of group heterogeneity on the understanding of cognitive impairment in CFS are discussed. (JINS, 2004, 10, 101–109.)

Keywords

Processing speedWorking memoryCognition
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 10 , Issue 1 , January 2004 , pp. 101 - 109
Copyright
© 2004 The International Neuropsychological Society

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References

REFERENCES

Abbey, S.E. & Garfinkel, P.E. (1991). Chronic fatigue syndrome and depression: Cause, effect, or covariate. Reviews of Infectious Diseases, 13, S73–S83.Google Scholar
Arnett, F.C., Edworthy, S.M., Bloch, D.A., McShane, D.J., Fries, J.F., Cooper, N.S., Healey, L.A., Kaplan, S.R., Liang, M.H., Luthra, H.S., Medsger, T.A., Jr., Mitchell, D.M., Neustadt, D.T., Pinals, R.S., Schaller, J.G., Sharp, J.T., Wilder, R.C., & Hunder, G.G. (1988). The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis and Rheumatism, 31, 315–324.Google Scholar
Baddeley, A. (1986). Working memory. Oxford, UK: Clarendon Press.
Brittain, J.L., La Marche, J.L., Reeder, K.P., Roth, D.L., & Boll, T.S. (1991). Effects of age and IQ on Paced Auditory Serial Addition Task (PASAT) performance. Clinical Neuropsychologist, 5, 163–175.Google Scholar
Chiaravalloti, N., Christodoulou, C., Demaree, H., & DeLuca, J. (2003). Differentiating simple vs. complex processing speed: Influence on new learning and memory performance. Journal of Clinical and Experimental Neuropsychology, 25, 489–501.Google Scholar
Christodoulou, C., DeLuca, J., Lange, G., Johnson, S.K., Korn, L., Gaudino, E., & Natelson, B.H. (1998). The relationship between neuropsychological impairment and functional disability in patients with chronic fatigue syndrome. Journal of Neurology, Neurosurgery, and Psychiatry, 64, 431–434.Google Scholar
Cook, D.B., Lange, G., DeLuca, J., & Natelson, B.H. (2001). Relationship of brain MRI abnormalities and physical functional status in CFS. International Journal of Neuroscience, 107, 1–6.Google Scholar
Costa, D.C., Tannock, C., & Brostoff, J. (1995). Brainstem perfusion is impaired in chronic fatigue syndrome. Quarterly Journal of Medicine, 88, 767–773.Google Scholar
DeLuca, J., Johnson, S.K., & Natelson, B.H. (1993). Information processing in chronic fatigue syndrome and multiple sclerosis. Archives of Neurology, 50, 301–304.Google Scholar
DeLuca, J., Johnson, S.K., Beldowicz, D., & Natelson, B.H. (1995). Neuropsychological impairments in chronic fatigue syndrome, multiple sclerosis, and depression. Journal of Neurology, Neurosurgery, and Psychiatry, 58, 38–43.Google Scholar
DeLuca, J., Johnson, S.K., Ellis, S.P., & Natelson, B.H. (1997). Cognitive functioning is impaired in patients with chronic fatigue syndrome devoid of psychiatric disease. Journal of Neurology, Neurosurgery and Psychiatry, 62, 151–155.Google Scholar
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
DeLuca, J., Christodoulou, C., Diamond, B.J., Rosenstein, E.D., Kramer, N., Ricker, J.H., & Natelson, B.H. (in press). The nature of memory impairment in chronic fatigue syndrome. Rehabilitation Psychology.
Demaree, H., DeLuca, J., Guadino, E.A., & Diamond, B.J. (1999). Speed of Information processing as a key deficit in multiple sclerosis: Implications for Rehabilitation. Journal of Neurology, Neurosurgery, and Psychiatry, 67, 661–663.Google Scholar
Diamond, B.J., DeLuca, J., Rosenthal, D., Vlar, R., Davis, K., Lucas, G., & Richards, J.R. (2000). Information processing in older versus younger adults: Accuracy vs. speed. International Journal of Rehabilitation and Health, 5, 55–64.Google Scholar
Dobbs, B.M., Dobbs, A.R., & Kiss, I. (2001). Working memory deficits associated with chronic fatigue syndrome. Journal of the International Neuropsychological Society, 7, 285–293.Google Scholar
Fukuda, K., Straus, S.E., Hickie, I., Sharpe, M.C., Dobbins, J.G., Komaroff, A., & The International Chronic Fatique Syndrome Study Group. (1994). The chronic fatigue syndrome: A comprehensive approach to its definition and study. Annals of Internal Medicine, 121, 953–959.Google Scholar
Gaudino, E.A., Coyle, P.K., & Krupp, L.B. (1997). Post-lyme syndrome and chronic fatigue syndrome: Neuropsychiatric similarities and differences. Archives of Neurology, 54, 1372–1376.Google Scholar
Grafman, J. (1994). Neuropsychological features of chronic fatigue syndrome. In E. Straus (Ed.), Chronic fatigue syndrome (pp. 263–284). New York: Marcel Dekker, Inc.
Greco, A., Tannock, C., Brostoff, J., & Costa, D.C. (1997). Brain MR in chronic fatigue syndrome. American Journal of Neuroradiology, 18, 1265–1269.Google Scholar
Hart, R.P., Martelli, M.F., & Zasler, N.D. (2000). Chronic pain and neuropsychological functioning. Neuropsychology Review, 10, 131–150.CrossRefGoogle Scholar
Hochberg, M.C., Chang, R.W., Dwosh, I., Lindsey, S., Pincus, T., & Wolfe, F. (1992). The American College of Rheumatology 1991 revised criteria for the classification of global functional status in rheumatoid arthritis. Arthritis and Rheumatism, 35, 498–502.Google Scholar
Holmes, G.P., Kaplan, J.E., Gantz, N.M., Komaroff, A.L., Schonberger, L.B., Straus, S.E., Jones, J.F., DuBois, R.E., Cunningham-Rundles, C., Pahwa, S., Tosato, G., Zegans, L.S,, Purtilo, D.T., Brown, N., Schooley, R.T., & Brus, I. (1988). Chronic fatigue syndrome: A working case definition. Annals of Internal Medicine, 108, 387–389.Google Scholar
Johnson, S.K., DeLuca, J., Diamond, B.J., & Natelson, B.H. (1996a). Selective impairment of auditory processing in chronic fatigue syndrome: A comparison with multiple sclerosis and healthy controls. Perceptual and Motor Skills, 83, 51–62.Google Scholar
Johnson, S.K., DeLuca, J., & Natelson, B.H. (1996b). Depression in fatiguing illness: comparing patients with chronic fatigue syndrome, multiple sclerosis and depression. Journal of Affective Disorders, 39, 21–30.Google Scholar
Johnson, S.K., DeLuca, J., Diamond, B.J., & Natelson, B.H. (1998). Memory dysfunction in fatigue illness: Examining interference and distraction in working memory. Cognitive Neuropsychiatry, 3, 269–285.Google Scholar
Kane, R.L., Gantz, N.M., & DiPino, R.K. (1997). Neuropsychological and psychological functioning in chronic fatigue syndrome. Neuropsychiatry, Neuropsychology, & Behavioral Neurology, 10, 25–31.Google Scholar
Keppel, G. (1973). Design and analysis: A researcher's handbook. Englewood Cliffs, NJ: Prentice-Hall.
Kirk, R.E. (1968). Experimental design: Procedures for the behavioral sciences. Belmont, CA: Brooks/Cole.
Komaroff, A.L. (1988). Chronic fatigue syndromes: Relationship to chronic viral infections. Journal of Virology Research, 21, 3–10.Google Scholar
Lange, G., DeLuca, J., Maldjian, J.A., Lee, H., Tiersky, L.A., & Natelson, B.H. (1999). Brain MRI abnormalities exist in a subset of patients with chronic fatigue syndrome. Journal of the Neurological Sciences, 171, 3–7.Google Scholar
Madigan, N., DeLuca, J., Diamond, B.J., Tramontano, G., & Averill, A. (2000). Speed of information processing in traumatic brain injury: A modality-specific impairment? Journal of Head Trauma Rehabilitation, 15, 943–956.Google Scholar
Manu, P., Matthews, D.A., & Lane, T.J. (1988). The mental health of patients with a chief complaint of chronic fatigue. A prospective evaluation and follow-up. Archives of Internal Medicine, 148, 2213–2217.Google Scholar
Manu, P., Lane, T.J., & Matthews, D.A. (1992). Chronic fatigue syndromes in clinical practice. Psychotherapy and Psychosomatics, 58, 60–68.Google Scholar
Marcel, B., Komaroff, A.L., Faglioloi, R., Kornish, J., & Albert, M.S. (1996). Cognitive deficits in patients with chronic fatigue syndrome. Biological Psychiatry, 40, 535–541.Google Scholar
Marcus, S., Robins, L.N., & Bucholz, K. (1990). Quick diagnostic interview schedule III–R (Version 1). St. Louis, MO: Washington University School of Medicine.
Marshall, P.S., Forstot, M., Callies, A., Peterson, P.K., & Schenck, C.H. (1997). Cognitive slowing and working memory difficulties in chronic fatigue syndrome. Psychosomatic Medicine, 59, 58–66.Google Scholar
Michiels, V., de Gucht, V., Cluydts, R., & Fischler, B. (1999). Attention and information processing efficiency in patients with Chronic Fatigue Syndrome. Journal of Clinical and Experimental Neuropsychology, 5, 709–729.Google Scholar
Roman, D.D., Edwall, G.E., Buchanan, R.J., & Patton, J.H. (1991). Extended norms for the Paced Auditory Serial Addition Task. Clinical Neuropsychologist, 5, 33–40.Google Scholar
Ruchkin, D.S., Grafman, J., Krauss, G.L., Johnson, R., Canoune, H., & Ritter, W. (1994). Event-related brain potential evidence for a verbal working memory deficit in multiple sclerosis. Brain, 117, 289–305.Google Scholar
Salthouse, T.A. (2000). Aging and measures of processing speed. Biological Psychology, 54, 35–54.Google Scholar
Schluederberg, A., Straus, S.E., Peterson, P., Blumenthal, S., Komaroff, A.L., Spring, S.B., Landay, A., & Buchwald, D. (1992). NIH conference. Chronic fatigue syndrome research. Definition and medical outcome assessment. Annals of Internal Medicine, 117, 325–331.Google Scholar
Smith, A.P., Behan, P.O., Bell, W., Millar, K., & Bakheit, M. (1993). Behavioral problems associated with the chronic fatigue syndrome. British Journal of Psychology, 84, 411–423.Google Scholar
Strober, W. (1994). Immunological functioning chronic fatigue syndrome. In S.E. Straus (Ed.), Chronic fatigue syndrome (pp. 207–237). New York: Marcel Dekker.
Tiersky, L.A., DeLuca, J., Hill, N., Dhar, S.K., Johnson, S.K., Lange, G., Rappolt, G., & Natelson, B.H. (2001). Longitudinal assessment of neuropsychological functioning, psychiatric status, functional disability and employment status in chronic fatigue syndrome. Applied Neuropsychology, 8, 41–50.Google Scholar
Tiersky, L.A., Johnson, S.K., Lange, G., Natelson, B.H., & DeLuca, J. (1997). Neuropsychology of chronic fatigue syndrome: A critical review. Journal of Clinical and Experimental Neuropsychology, 19, 560–586.Google Scholar
Vercoulen, J.H.M.M., Bazelmans, E., Swanink, C.M.A., Galama, J.M.D., Fennis, J.F.M., van der Meer, J.W.M., & Bleijenberg, G. (1998). Evaluating neuropsychological impairment in chronic fatigue syndrome. Journal of Clinical and Experimental Neuropsychology, 20, 144–156.Google Scholar