Information processing characteristics in subtypes of multiple sclerosis

https://doi.org/10.1016/S0028-3932(02)00041-6Get rights and content

Abstract

The purpose of this study was to evaluate information processing characteristics in patients with multiple sclerosis (MS). We selected 53 patients with MS and 58 matched healthy controls. Using computerized tests, we investigated focused, divided, sustained attention, and executive function, and attempted to pinpoint deficits in attentional control to peripheral or central processing stages. The results substantiate the hypothesis that the slowing of attention-demanding (controlled) information processing underlying more complex cognitive skills is general, i.e. irrespective of type of controlled processing, with MS patients being 40% slower than controls. MS patients may suffer from focused, and divided and sustained attention deficits, as well as from compromised central processing stages, with secondary progressive (SP) patients showing the most extensive range of deficits, closely followed by primary progressive (PP) patients, while relapsing–remitting (RR) patients appear to be much less affected. General slowing appears to be highest in PP and SP type MS patients (50% slower) versus relapsing–remitting MS (24% slower). In contrast to most previous results, (complex) processing speed appeared to be robustly correlated with severity of MS as measured by the expanded disability status scale and with disease duration. Patients did much less differ in accuracy of processing from controls, suggesting the importance of using time strategies in planning everyday life and job activities to compensate for or alleviate MS-related speed handicaps.

Introduction

Several reviews of neuropsychological studies in multiple sclerosis (MS) indicate the frequent occurrence of deficits in various domains of cognitive function such as recent memory, attention, information processing speed, executive function and visuo-spatial perception, whereas general intelligence, language, and short-term memory seem to be preserved [50], [54], [55]. However, a recent meta-analysis of 36 studies focusing on performance differences between MS patients and healthy controls showed that general cognitive ability, in particular performance IQ, discriminates between MS patients and healthy controls, and that language and verbal intellectual ability may be affected by MS [75]. A significant effect of rapid processing demands was seen across neuropsychological tests, suggesting the importance of processing speed and working memory demands in neuropsychological investigations with patients with MS. Vulnerability to increased demands for speed and working memory might be manifestations of a reduced processing capacity. MS patients therefore seem to suffer from deficits in controlled information processing which is serial, attention demanding, and limited by the capacity of the working memory [65], [66]. MS results in multiple focal areas of axonal demyelination with lesions [10], [73], occurring especially in the white matter surrounding the ventricles, within the deep white matter of the frontal lobes, and within the corpus callosum [5]. In the neural efficiency model of intelligence, differences in performance on intelligence tests are attributed to differences in the speed and efficiency with which acquired neurophysiological processes are executed [70]. There are several theories suggesting a relation between intelligence level and central nerve conduction speed [59], [60]. Miller postulated the hypothesis that nerves with thicker myelin sheaths are faster and more accurate in signal processing [43] and Peters suggested that myelin breakdown slows neural conduction along an axon and may influence problem solving speed [49]. If the slower information processing in patients with MS is indeed associated with neural demyelination, it appears likely that the slowing would be global rather than restricted to a few tasks.

Data on the generality of cognitive slowing are still scarce as, to date, only three relevant studies have been published. Kujala et al. [36] reported widespread slowing on speeded tasks in patients with MS with mildly deteriorated cognitive functioning. Kail and Salthouse [34], using Brinley plots [4] as a method to study cognitive aging [8], [63], examined the extent of cognitive slowing in MS by fitting reaction time (RT) data of MS patients and healthy controls to the regression equation RTMS=a+bRTC which states that the mean RT of a group of MS patients will increase linearly as a function of the mean RT of a group of healthy controls. Kail confirmed this hypothesis in a meta-analysis of archival data from 12 studies and another study in which original data were collected [32], [33]. Meta-analyses, however, are flawed by the use of archival data from different studies, which implies that regression equations might be confounded by sample characteristics, and limitations in sample size (11 female MS patients) and dataset (only 15 data points from three tasks). As argued by Kail [33], firmer conclusions about the general slowing associated with MS will require a larger and more representative sample of MS patients and a wider range of cognitive tasks.

We performed a study to compare the speed and accuracy of performance on a comprehensive set of information processing tasks designed to evaluate basic processes underlying more complex cognitive skills, i.e. attention-demanding (controlled) information processing, in MS patients and healthy volunteers. Further, we explored whether the rate of slowing varies as a function of subtype of MS, i.e. relapsing–remitting (RR), secondary progressive (SP), and primary progressive (PP). Following the assumption that cognitive slowing is general, we expected this slowing to be reflected in a fit of the data to the regression equation of the above-formulated type.

Section snippets

Subjects

Patients with clinically definite multiple sclerosis according to the criteria of Poser et al. [53] were randomly selected at the secondary/tertiairy referral centre for MS of the Vrije Universiteit Medical Centre, and SP, PP, and RR MS subtypes were classified according to the criteria of Lublin and Reingold [42]. Patients with any other CNS disorder, or metabolic, psychiatric, learning disorders or a condition other than MS that might have interfered with tests were excluded. The recruitment

Subjects

Fifty-three patients with clinically definite multiple sclerosis were selected, comprising 18 SP (11 women, 7 men), 19 PP (12 women, 7 men), and 16 RR patients (11 women, 5 men). Age at testing and at diagnosis, EDSS scores, years passed since occurrence of first subjective symptoms and years passed since diagnosis, and education level are summarised in Table 1. The controls did not differ in age from the total MS group (P=0.94). The RR patients were younger than the SP and PP patients (P

Processing deficits

The present study shows that there are deficits in various attentional domains, i.e. divided, focused and sustained attention, in patients with MS. They demonstrated a slower response speed compared to controls when they simply had to detect the mere presence of a stimulus. When higher cognitive demands were imposed in the more complex tasks, differences in speed between controls and MS patients increased dramatically. It was clearly shown that MS patients were slower in processing visually

Acknowledgements

The authors thank Ben Young for his help in preparing the manuscript.

References (76)

  • K.K Zakzanis

    Distinct neuropsychological profiles in multiple subtypes

    Archives of Clinical Neuropsychology

    (2000)
  • C.J Archibald et al.

    Information processing efficiency in patients with multiple sclerosis

    Journal of Clinical and Experimental Neuropsychology

    (2000)
  • P.A Arnett et al.

    Executive functions in multiple sclerosis: an analysis of temporal ordering, semantic encoding, and planning abilities

    Neuropsychology

    (1997)
  • Beatty WW, Goodkin DE, Hertsgaard D, Monson N. Clinical and demographic predictors of cognitive performance in multiple...
  • Brinley JF. Cognitive sets, speed and accuracy of performance in the elderly. In: Welford TA, Birren JE, editors....
  • B Brownell et al.

    The distribution of plaques in the cerebrum in multiple sclerosis

    Journal of Neurology, Neurosurgery, and Psychiatry

    (1962)
  • P Burgard et al.

    Neuropsychologic functions of early treated patients with phenylketonuria, on and off diet: results of a cross-national and cross-sectional study

    Pediatric Research

    (1997)
  • J Cerella

    Generalized slowing in Brinley plots

    Journal of Gerontolology: Psychological Sciences

    (1994)
  • C.A Davie et al.

    1H magnetic resonance spectroscopy of chronic cerebral white matter lesions and normal appearing white matter in multiple sclerosis

    Journal of Neurology, Neurosurgery, and Psychiatry

    (1997)
  • H.A Demaree et al.

    Speed of information processing as a key deficit in multiple sclerosis: implications for rehabilitation

    Journal of Neurology, Neurosurgery, and Psychiatry

    (1999)
  • De Sonneville LMJ. Amsterdam neuropsychological tasks: a computer-aided assessment program. In: den Brinker BPLM, Beek...
  • L.M.J De Sonneville et al.

    Methylphenidate and information processing. Part 1. Differentiation between responders and nonresponders. Part 2. Efficacy in responders

    Journal of Clinical and Experimental Neuropsychology

    (1994)
  • P Elsass et al.

    Reaction time deficit in multiple sclerosis

    Acta Neurologica Scandinavica

    (1983)
  • Farnsworth D. The Farnsworth–Munsell 100-Hue test manual (revised ed.). Balimore: Munsell Color Company,...
  • A Feinstein et al.

    Acute optic neuritis: a cognitive and magnetic resonance imaging study

    Brain

    (1992)
  • M Filippi et al.

    Comparison of MS clinical phenotypes using conventional and magnetization transfer MRI

    Neurology

    (1999)
  • A.D Fisk et al.

    Brinley plots and theories of aging: the explicit, muddled, and implicit debates

    Journal of Gerontology: Psychological Sciences

    (1994)
  • J Foong et al.

    A comparison of neuropsychological deficits in primary and secondary progressive multiple sclerosis

    Journal of Neurology

    (2000)
  • J Foong et al.

    Executive function in multiple sclerosis: the role of frontal lobe pathology

    Brain

    (1997)
  • J Grafman et al.

    Automatic memory processes inpatients with multiple sclerosis

    Archives of Neurology

    (1991)
  • M Grossman et al.

    Patterns of cognitive impairment in relapsing–remitting and chronic progressive multiple sclerosis

    Neuropsychiatry, Neuropsychology, and Behavioral Neurology

    (1994)
  • P Hämäläinen et al.

    Cognitive decline in multiple sclerosis

    International Multiple Sclerosis Journal

    (1999)
  • L Hasher et al.

    Automatic and effortful processes in memory

    Journal of Experimental Psychology (General)

    (1987)
  • R.K Heaton et al.

    Neuropsychological findings in relapsing–remitting and chronic-progressive multiple sclerosis

    Journal of Consulting and Clinical Psychology

    (1985)
  • M.J Hohol et al.

    Serial neuropsychological assessment and magnetic resonance imaging analysis in multiple sclerosis

    Archives of Neurology

    (1997)
  • Ivnik RJ. Neuropsychological test performance as a function of the duration of MS-related symptomatology. Journal of...
  • A Jonsson et al.

    Effects of neuropsychological treatment in patients with multiple sclerosis

    Acta Neurologica Scandinavica

    (1993)
  • R Kail

    The neural noise hypothesis: evidence from processing speed in adults with multiple sclerosis

    Aging, Neuropsychology and Cognition

    (1997)
  • Cited by (169)

    • Serum vitamin D level is associated with speed of processing in multiple sclerosis patients

      2020, Journal of Steroid Biochemistry and Molecular Biology
      Citation Excerpt :

      We did not collect data as to whether this improvement was noticeable or impacted the patients’ daily functions and quality of life, but future studies should include these data. Previous studies reported that greater disability scores on the EDSS, increased age, and progressive MS type were associated with worst speed of processing performance [69–71], and higher education was associated with better SDMT performance [72]. In our data, only age and change in 25(OH)D levels were significant predictors of the change in SDMT performance.

    • The association between pre-pregnancy overweight/obesity and offspring's behavioral problems and executive functioning

      2018, Early Human Development
      Citation Excerpt :

      When the investigator felt sure that the child understood the task demands, the test trial started [29]. The ROO task consisted of three parts: A fixed congruent part (part 1): When a red ball appeared on the left side of a white fixation cross on the screen, children had to click the left mouse button with their left forefinger, and vice versa; a fixed incongruent part (part 2): When a white ball appeared on the left side of the fixation cross, children had to click the right mouse button with the right forefinger, and vice versa; and a random mix part of part 1 and 2 (part 3) [30]. There were 30 trials per part in which signal duration was variable until the child responded.

    • Cognitive impairment in Chinese IIDDs revealed by MoCA and P300

      2017, Multiple Sclerosis and Related Disorders
    View all citing articles on Scopus
    View full text