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Cognitive deficits in patients suffering from chronic fatigue syndrome, acute infective illness or depression

Published online by Cambridge University Press:  03 January 2018

Ute Vollmer-Conna*
Affiliation:
Inflammation Research Unit, School of Pathology, University of New South Wales
Denis Wakefield
Affiliation:
Inflammation Research Unit, School of Pathology, University of New South Wales
Andrew Lloyd
Affiliation:
Inflammation Research Unit, School of Pathology, University of New South Wales
Ian Hickie
Affiliation:
Inflammation Research Unit, School of Pathology, University of New South Wales
Jim Lemon
Affiliation:
School of Psychology, University of New South Wales, Sydney
Kevin Bird
Affiliation:
Inflammation Research Unit, School of Pathology, University of New South Wales
Reginald Westbrook
Affiliation:
School of Psychiatry, University of New South Wales
*
Dr Ute Vollmer-Conna, Inflammation Research Unit, School of Pathology, University of New South Wales, Sydney 2052 NSW, Australia. Fax: (61-2) 9385 1389; e-mail: [email protected]

Abstract

Background

Patients with chronic fatigue syndrome (CFS) report neuropsychological symptoms as a characteristic feature. We sought to assess cognitive performance in patients with CFS, and compare cognitive performance and subjective workload experience of these patients with that of two disease comparison groups (non-melanchonic depression and acute infection) and healthy controls.

Method

A computerised performance battery employed to assess cognitive functioning included tests of continuous attention, response speed, performance accuracy and memory. Severity of mood disturbance and subjective fatigue were assessed by questionnaire.

Results

All patient groups demonstrated increased errors and slower reaction times, and gave higher workload ratings than healthy controls. Patients with CFS and non-melancholic depression had more severe deficits than patients with acute infection. All patient groups reported more severe mood disturbance and fatigue than healthy controls, but patients with CFS and those with acute infection reported less severe mood disturbance than patients with depression.

Conclusions

As all patients demonstrated similar deficits in attention and response speed, it is possible that common pathophysiological processes are involved. The differences in severity of mood disturbance, however, suggest that the pathophysiological processes in patients with CFS and acute infection are not simply secondary to depressed mood.

Type
Papers
Copyright
Copyright © 1997 The Royal College of Psychiatrists 

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References

American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (3rd edn, revised) (DSM–III–R). Washington, DC: APA.Google Scholar
DeLuca, J., Johnson, S. K. & Natelson, B. H. (1993) Information processing efficiency in chronic fatigue syndrome and multiple sclerosis. Archives of Neurology, 50, 301304.CrossRefGoogle ScholarPubMed
DeLuca, J., Johnson, S. K. Beldowicz, D., et al (1995) Neuropsychological impairments in chronic fatigue syndrome, multiple sclerosis, and depression. Journal of Neurology, Neurosurgery, and Psychiatry, 58, 3843.CrossRefGoogle ScholarPubMed
Grafman, J., Schwartz, V., Dale, J. K., et al (1993) Analysis of neuropsychological functioning in patients with chronic fatigue syndrome. Journal of Neurology, Neurosurgery, and Psychiatry, 56, 684689.CrossRefGoogle ScholarPubMed
Hart, S. G. & Stavaland, L. E. (1988) Development of NASA-TLX (task load index): Results from empirical and theoretical research. In Human Mental Workload (eds Hancock, P. A. & Meshkati, N.), pp. 139183. Amsterdam: Elsevier.CrossRefGoogle Scholar
Lemon, J. (1990) The Razelle Test Battery: A Computerized Testing Instrument for Visuomotor and Cognitive Testing. (Technical report No. 9). Sydney: National Drug and Alcohol Research Centre.Google Scholar
Lloyd, A., Hickie, L., Boughton, C. R., et al (1990) The prevalence of chronic fatigue syndrome in an Australian population. Medical Journal of Australia, 153, 522528.CrossRefGoogle Scholar
Mackworth, N. H. (1948) The breakdown of vigilance during prolonged visual search. Quarterly Journal of Experimental Psychology, 1, 711.CrossRefGoogle Scholar
McNair, D. M., Lorr, M. & Droppleman, L. F. (1981) Impaired attention in depressive states: a non-specific deficit? Psychological Medicine, 26, 10091020.Google Scholar
Moss-Morris, R., Petrie, K. J., Large, R. G., et al (1994) Neuropsychological deficits in chronic fatigue syndrome: artifact or reality? Journal of Neurology, Neurosurgery, and Psychiatry, 60, 474477.CrossRefGoogle Scholar
Nelson, H. E. (1982) National Adult Reading Test (NART). Windsor, Berks: NFER–Nelson.Google Scholar
Prasher, D., Smith, A. & Findley, L. (1990) Sensory and cognitive event-related potentials in myalgic encephalomyelitis. Journal of Neurology, Neurosurgery, and Psychiatry, 53, 247253.CrossRefGoogle ScholarPubMed
Quinn-Curtis, (1990) Sciences/Engineering/Graphics Tools for Turbo C, Revision 7. Needham, MA: Quinn-Curtis.Google Scholar
Raven, J. C. (1962) Advanced Progressive Matrices. London: H. K. Lewis & Co.Google Scholar
Rodger, R. S. (1967) Type II errors and their decision basis. British Journal of Mathematical and Statistical Psychology, 20, 187204.CrossRefGoogle Scholar
Sandman, C. A., Barron, J. L., Nackoul, K., et al (1993) Memory deficits associated with chronic fatigue immune dysfunction syndrome. Biological Psychiatry, 33, 618623.CrossRefGoogle ScholarPubMed
Scheffers, M. K., Johnson, R., Grafman, J., et al (1992) Attention and short-term memory in chronic fatigue syndrome patients: An event-related potential analysis. Neurology, 42, 16671675.CrossRefGoogle ScholarPubMed
Smith, A. P., Bahan, P. O., Bell, W., et al (1993) Behavioural problems associated with the chronic fatigue syndrome. British Journal of Psychology, 84, 411423.CrossRefGoogle ScholarPubMed
Sternberg, S. (1966) High speed scanning in human memory. Science, 153, 652654.CrossRefGoogle ScholarPubMed
Wearden, A. & Appleby, L. (1997) Cognitive performance and complaints of cognitive impairment in chronic fatigue syndrome (CFS). Psychological Medicine, 27, 8190.CrossRefGoogle ScholarPubMed
Wessely, S. (1993) The neuropsychiatry of chronic fatigue syndrome. In Chronic Fatigue Syndrome (eds Bock, G. R. & Whelan, J.). Ciba Foundation Symposium No. 173, pp. 212237. Chichester: Wiley.Google ScholarPubMed
Wilkinson, L. (1990) Systat: The System for Statistics. Evanston, IL: Systat Inc.Google Scholar
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