Trending Topic

4 mins

Trending Topic

Developed by Touch
Mark CompleteCompleted
BookmarkBookmarked

Welcome to this issue of touchREVIEWS in Neurology, where we explore significant advances in neurology, cognitive health, and wearable technology in the management of various chronic conditions. This issue brings together a collection of expert perspectives and research that spans innovative therapies, preventive strategies, and case studies, each offering critical insights for clinicians and researchers. […]

Cognitive Impairment in Multiple Sclerosis – Recent Advances and Future Prospects

Dawn Langdon
Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Download as PDF
Published Online: Jun 4th 2011 European Neurological Review, 2010;5(1):69-72 DOI: http://dx.doi.org/10.17925/enr.2010.05.01.69
Select a Section…
1

Abstract

Overview

Multiple sclerosis (MS) is characterised not only by physical disability but also by gradual cognitive impairment. A large proportion of patients exhibit signs of cognitive deficit that negatively affect their quality of life. Reduced processing speed is often seen with the disease and several tests have been developed to measure its severity, including the Paced Auditory Serial Addition Test (PASAT) and the Symbol Digit Modality Test (SDMT). Long-term memory function is also commonly impaired in MS and studies suggest problems in primary registration of information. Also affected are executive functions used in novel planning and problem-solving. To evaluate cognitive function, cognitive test batteries with varying effectiveness have been introduced. The correlation of cognitive performance with magnetic resonance imaging (MRI) results remains inconsistent as multiple pathologies lead to the observed impairments. Therefore, combinations of MRI data are most successful at predicting deficiencies. The efficacy of current MS treatments in terms of cognition is unclear, making their clinical evaluation a great unmet need; the same is true of universal, validated cognitive measures that can be easily administered to MS patients around the world.

Keywords

Multiple sclerosis, cognitive impairment, memory loss, executive functions, cognitive test batteries, rivastigmine

2

Article

The Extent of Cognitive Impairment in Multiple Sclerosis

In his original characterisation of multiple sclerosis (MS), Jean Martin Charcot noted a loss of memory and reduced understanding,1 but this wisdom was overlooked for a century. It is only since the early 1980s that cognitive impairment in MS has begun to be scientifically investigated and understood.2

The Extent of Cognitive Impairment in Multiple Sclerosis

In his original characterisation of multiple sclerosis (MS), Jean Martin Charcot noted a loss of memory and reduced understanding,1 but this wisdom was overlooked for a century. It is only since the early 1980s that cognitive impairment in MS has begun to be scientifically investigated and understood.2
In part this may be because reduced functioning in the context of complex physical disability may seem reasonably attributable to physical impairments. In addition, the typical pattern of cognitive deficits in MS, with intact language masking inefficiencies in concentration, memory and reasoning, may escape casual (or even clinical) observation.
The prevalence of cognitive impairment in large heterogeneous groups of MS patients has been demonstrated by formal psychometric assessment to be 43–70%, with the higher prevalence rates from clinic samples.3 Cognitive impairment has been reported at all stages and in all subtypes of the disease. In the comparative study by Potagas et al., the cognitive impairment prevalence rates were 27.3% in clinically isolated syndrome (CIS), 40.0% in relapsing–remitting MS (RRMS), 56.5% in primary progressive MS (PPMS) and 82.8% in secondary progressive MS (SPMS).4 A cognitive impairment prevalence of 45% has been demonstrated in benign MS.5 Cognitive impairment tends to progress over time, but rarely in the space of a few years.6

The Impact of Cognitive Impairment in Multiple Sclerosis

Cognitive impairment has been shown to have an adverse effect on the lives of people with MS, over and above that imposed by their physical impairments. Cognitive impairment leads to reduced employment, social function,7 physical independence, sexual function,8 progress in rehabilitation,9 everyday life activities,10 safety in driving11 and adherence to medication.12 Poorer self-reported scores on formal measures of quality of life have also been linked to cognitive status. Reduced information-processing speed has been associated with lower quality of life.13
However, in one study of patients with advanced disease, more intact autobiographical memory was associated with lower quality of life.14 This suggests that once patients enter the stage of significant physical dependence, the clear comparison with previous independence afforded by intact memory and other cognitive function results in greater awareness of the deterioration of their condition, resulting in a more negative assessment of current quality of life.

Cognitive Impairment Profile

There is increasing (but not yet universal) agreement that reduced processing speed is the fundamental cognitive deficit in MS.15 Processing speed affects the ability to maintain and manipulate information (working memory).16,17 Processing speed and working memory are the cognitive processes most likely to be affected in MS.18
There are two cognitive tests of complex attention that are time-dependent and are widely used in MS. The first is the Paced Auditory Serial Addition Test (PASAT), which requires the testee to listen to a string of pseudo-randomly ordered single digits presented aurally at the rate of one every three (or, in the harder version, two) seconds. The testee must add up the last two numbers heard and say the correct total before the next stimulus number is delivered. A sensitivity of 74% and specificity of 65% have been reported for the PASAT.19 The second is the Symbol Digit Modality Test (SDMT), which presents the testee with nine simple abstract shapes as a ‘key’, each paired with a single digit. Below these shapes, the testee sees rows of the same nine abstract shapes in a random order. The testee must call out the correct number for each shape, looking along each row of shapes systematically, completing as many as possible within 90 seconds. A sensitivity of 82% and specificity of 60% have been reported for the SDMT.20 The SDMT has been shown to be reliable when administered by nursing staff over several months.21
The PASAT is more demanding than the SDMT for both the testee and the tester. The two tests have been directly compared as part of the Multiple Sclerosis Functional Composite (MSFC), a brief assessment designed to ‘sample’ cognition (originally incorporating the PASAT), upper limb function and walking to produce an index of an MS patient’s ability.22 The results have been inconclusive.23,24 There is some evidence that the SDMT may be less susceptible to practice effects than the PASAT.21,25
Long-term memory function is also commonly impaired in MS. Previous work pointed to a primary retrieval deficit rather than a problem with learning the information.26 However, the primary registration of information has now been identified as the core deficit.27 Verbal memory is normally assessed by a word list learning task. A frequently used verbal memory assessment is the California Verbal Learning Test-II (CVLT-II).28 As far as individual-specific information is concerned, MS deficits in memory of episodic autobiographical incidents have been reported to be greater than deficits in memory of personal semantic information (the general facts, meanings and understanding we have about ourselves).29
Executive functions are complex cognitive processes that deal with novelty, are involved with planning and problem-solving and are crucial to goal-directed behaviour. Studies of people with MS have often shown them to be poor on tests of problem-solving, particularly when flexibility is required. A community sample of MS patients in New Zealand demonstrated a variable range of executive dysfunction, with most exhibiting impairment in some executive aspects.30 The most frequently (and conveniently) tested aspect of executive function is verbal fluency. Phonemic and semantic fluency tests have been shown to be equally effective in MS.31 Executive functions are clearly involved in complex decision-making, but decline over time in a standardised decision-making task occurred independently of other cognitive test scores.32

Cognitive Test Batteries

There are a range of cognitive test batteries used for assessing cognition in MS, mainly in research studies. The Brief Repeatable Battery of Neuropsychological Tests (BRB-N)33 is a set of tests of short duration (30 minutes) with a sensitivity of 71% and specificity of 94%. The battery comprises the SDMT, the PASAT, the Selective Reminding Test (SRT), the 10/36 Spatial Recall Test and the Controlled Oral Word Association Test (COWAT). Reliability for the individual tests has been reported as adequate to good over 18-month intervals, with moderate practice effects for most tests (using versions A and B alternately).34 The Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) test battery was developed by a consensus committee in 2001 and contains 36 measures of the five key cognition domains.35 It is reasonably short (90 minutes) and easily conducted, and it has good test– re-test reliability. The tests included in MACFIMS are given in Table 1. A study tested the validity of MACFIMS in 291 patients and 56 control patients; the parameters SDMT and Brief Visuospatial Memory Test—Revised (BVMT-R) were the most effective for discriminating between MS patients and controls and for identifying cognitively impaired MS patients.18
The BRB-N and MACFIMS have many tests in common and, unsurprisingly, were found to have comparable sensitivity when directly compared.36 However, the BVMT-R (a component of MACFIMS) appeared more sensitive than the corresponding 10/36 Spatial Recall Test (a component of BRB-N). A short version of the BRB-N has been proposed, utilising only the PASAT, SDMT and SRT; an initial study reported a sensitivity of 94% and specificity of 84% (see Figure 1).37 Cognitive assessment remains an expensive and time-consuming investigation that requires expert input.

Relation of Cognition to Magnetic Resonance Imaging Variables

Cognitive performance on psychometric tests is only moderately correlated with T2 lesion load and cortical atrophy.38 This may be because plaques in the white matter are only part of the cerebral pathology that disrupts cognition. Axons are damaged and lost, affecting nerve conduction. In grey matter, MS pathology results in loss of synapses and cell bodies, which also affects cognition. Axonal loss is recognised as an increasingly early aspect of pathology.39 These multiple pathologies, not all evident on conventional magnetic resonance imaging (MRI), may explain why combinations of MRI variables have proved the most successful at predicting cognitive impairment.
Cortical lesion volume and neocortical grey matter volume have been reported as independent predictors of cognitive impairment.40 Neocortical grey matter loss over time has also been linked to cognitive deterioration.41 Intriguingly, PASAT performance has been directly linked to gadolinium enhancement, seeming to confirm that the PASAT is especially sensitive to inflammation.42 There is also growing evidence for a gene–cognition link in MS, which may explain the mechanisms of how the pathology relates to cognitive performance.43

Treatment

The efficacy of conventional disease-modifying treatment on cognition remains largely unclear.44 There is some evidence for a treatment effect of interferon-beta 1a (IFNβ-1a) on cognition, but the randomised controlled trial was stopped early, making secure interpretation of results difficult.45
Cognitive assessments were made in the BENEFIT trial, comparing early versus late start of IFNβ-1b in 468 initially CIS patients.46 PASAT z-scores were significantly better at three and five years (p=0.005) for the earlier treatment group (see Figure 2). Unfortunately, the early promise of some symptomatic treatments does not seem to have held up in large multicentre studies.47 Rivastigmine has been shown to change functional MRI (fMRI) activation, which is thought to represent improved cognitive processing, but no improvement in cognitive performance was demonstrated in this small study.48 Rivastigmine has also been shown to improve short-latency afferent inhibition, a cortical phenomenon assessed by transcranial magnetic stimulation.49 However, a single-centre randomised controlled trial failed to show a treatment effect of rivastigmine on cognition in RRMS.50 The evidence base for cognitive rehabilitation resulting from treatment in MS remains at an early stage.51

Future Prospects

There is a need for validated cognitive measures that can be used in different cultures and countries to facilitate clinical assessment of cognition and to provide advice, treatment where appropriate and management for all people with MS. There is also a need for a standardised, validated and feasible MS cognitive screen that can be used in primary settings, where access to neuropsychological expertise may be lacking and available time may be short. There also needs to be scientific evaluation of the efficacy of some of the newer treatment agents on MS cognition. ■

2

References

  1. Charcot JM, Lessons sur les maladies du système nerveux à la Salpetrière, Paris: Delahaye, 1873.
  2. Richardson JT, Robinson A, Robinson I, Cognition and multiple sclerosis: a historical analysis of medical perceptions, J Hist Neurosci, 1997;6(3):302–19.
  3. Chiaravalloti ND, DeLuca J, Cognitive impairment in multiple sclerosis, Lancet Neurol, 2008;7:1139–51.
  4. Potagas C, Giogkaraki E, Koutsis G, et al., Cognitive impairment in different MS subtypes and clinically isolated syndromes, J Neurol Sci, 2008;267(1–2):100–6.
  5. Amato MP, Zipoli V, Goretti B, et al., Benign multiple sclerosis: cognitive, psychological and social aspects in a clinical cohort, J Neurol, 2006;253(8):1054–9.
  6. Amato MP, Zipoli V, Portaccio E, Multiple sclerosisrelated cognitive changes: a review of cross-sectional and longitudinal studies, J Neurol Sci, 2006;245(1–2):41–6.
  7. Amato MP, Ponziani G, Siracusa G, Sorbi S, Cognitive dysfunction in early-onset multiple sclerosis: a reappraisal after 10 years, Arch Neurol, 2001;58(10):1602–6.
  8. Rao SM, Leo GJ, Ellington L, et al., Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning, Neurology, 1991;41(5):692–6.
  9. Langdon DW, Thompson AJ, Multiple sclerosis: a preliminary study of selected variables affecting rehabilitation outcome, Mult Scler, 1999;5(2):94–100.
  10. Kalmar JH, Gaudino EA, Moore NB, et al., The relationship between cognitive deficits and everyday functional activities in multiple sclerosis, Neuropsychology, 2008;22(4):442–9.
  11. Schultheis MT, Weisser V, Ang J, et al., Examining the relationship between cognition and driving performance in multiple sclerosis, Arch Phys Med Rehabil, 2010;91(3): 465–73.
  12. Bruce JM, Hancock LM, Arnett P, Lynch S, Treatment adherence in multiple sclerosis: association with emotional status, personality, and cognition, J Behav Med, 2010;33(3):219–27.
  13. Barker-Collo SL, Quality of life in multiple sclerosis: does information-processing speed have an independent effect?, Arch Clin Neuropsychol, 2006;21(2):167–74.
  14. Kenealy PM, Beaumont GJ, Lintern T, Murrell R, Autobiographical memory, depression and quality of life in multiple sclerosis, J Clin Exp Neuropsychol, 2000;22(1):125–31.
  15. Forn C, Belenguer A, Parcet-Ibars MA, Avila C, Information-processing speed is the primary deficit underlying the poor performance of multiple sclerosis patients in the Paced Auditory Serial Addition Test (PASAT), J Clin Exp Neuropsychol, 2008;30(7):789–96.
  16. Parmenter BA, Shucard JL, Shucard DW, Information processing deficits in multiple sclerosis: a matter of complexity, J Int Neuropsychol Soc, 2007;13(3):417–23.
  17. Parmenter BA, Shucard JL, Benedict RH, Shucard DW, Working memory deficits in multiple sclerosis: comparison between the n-back task and the Paced Auditory Serial Addition Test, J Int Neuropsychol Soc, 2006;12(5):677–87.
  18. Benedict RH, Cookfair D, Gavett R, Gunther M, et al., Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS), J Int Neuropsychol Soc, 2006;12(4):549–58.
  19. Rosti E, Hämäläinen P, Koivisto K, Hokkanen L, PASAT in detecting cognitive impairment in relapsing-remitting MS, Appl Neuropsychol, 2007;14(2):101–12.
  20. Parmenter BA, Weinstock-Guttman B, Garg N, et al., Screening for cognitive impairment in multiple sclerosis using the Symbol digit Modalities Test, Mult Scler, 2007;13(1):52–7.
  21. Benedict RH, Duquin JA, Jurgensen S, et al., Repeated assessment of neuropsychological deficits in multiple sclerosis using the Symbol Digit Modalities Test and the MS Neuropsychological Screening Questionnaire, Mult Scler, 2008;14(7):940–46.
  22. Rudick RA, Polman CH, Cohen JA, et al., Assessing disability progression with the Multiple Sclerosis Functional Composite, Mult Scler, 2009;15(8):984–97.
  23. Brochet B, Deloire MS, Bonnet M, Set al., Should SDMT substitute for PASAT in MSFC? A 5-year longitudinal study, Mult Scler, 2008;14(9):1242–9.
  24. Drake AS, Weinstock-Guttman B, Morrow SA, et al., Psychometrics and normative data for the Multiple Sclerosis Functional Composite: replacing the PASAT with the Symbol Digit Modalities Test, Mult Scler, 2010;16(2):228–37.
  25. Rosti-Otajärvi E, Hämäläinen P, Koivisto K, Hokkanen L, The reliability of the MSFC and its components, Acta Neurol Scand, 2008;117(6):421–7.
  26. Rao SM, Neuropsychology of multiple sclerosis: a critical review, J Clin Exp Neuropsychol, 1986;8:503–42.
  27. DeLuca J, Gaudino EA, Diamond BJ, et al., Acquisition and storage deficits in multiple sclerosis, J Clin Exp Neuropsychol, 1998;20(3):376–90.
  28. Stegen S, Stepanov I, Cookfair D, et al., Validity of the California Verbal Learning Test-II in multiple sclerosis, Clin Neuropsychol, 2010;24(2):189–202.
  29. Kenealy PM, Beaumont JG, Lintern TC, Murrell RC, Autobiographical memory in advanced multiple sclerosis: assessment of episodic and personal semantic memory across three time spans, J Int Neuropsychol Soc, 2002;8(6):855–60.
  30. Drew M, Tippett LJ, Starkey NJ, Isler RB, Executive dysfunction and cognitive impairment in a large community-based sample with Multiple Sclerosis from New Zealand: a descriptive study, Arch Clin Neuropsychol, 2008;23(1):1–19.
  31. Beatty WW, Fluency in multiple sclerosis: which measure is best?, Mult Scler, 2002;8(3):261–4.
  32. Simioni S, Ruffieux C, Kleeberg J, et al., Progressive decline of decision-making performances during multiple sclerosis, J Int Neuropsychol Soc, 2009;15(2):291–5.
  33. Rao SM, A manual for the Brief Repeatable Battery of neuropsychological tests in multiple sclerosis, Milwaukee, Wisconsin: Medical College of Wisconsin, 1990.
  34. Portaccio E, Goretti B, Zipoli V, et al.; TuSCIMS Study Group. Reliability, practice effects, and change indices for Rao’s Brief Repeatable Battery, Mult Scler, 2010;16(5):611–17.
  35. Benedict RH, Fischer JS, Archibald CJ, et al., Minimal neuropsychological assessment of MS patients: a consensus approach, Clin Neuropsychol, 2002;16(3): 381–97.
  36. Strober L, Englert J, Munschauer F, et al., Sensitivity of conventional memory tests in multiple sclerosis: comparing the Rao Brief Repeatable Neuropsychological Battery and the Minimal Assessment of Cognitive Function in MS, Mult Scler, 2009;15(9):1077–84.
  37. Portaccio E, Goretti B, Zipoli V, et al., A short version of Rao’s Brief Repeatable Battery as a screening tool for cognitive impairment in multiple sclerosis, Clin Neuropsychol, 2009;23:268–75.
  38. Sørensen PS, Jønsson A, Mathiesen HK, et al., The relationship between MRI and PET changes and cognitive disturbances in MS, J Neurol Sci, 2006;245(1–2):99–102.
  39. Sharma R, Fischer MT, Bauer J, et al., Inflammation induced by innate immunity in the central nervous system leads to primary astrocyte dysfunction followed by demyelination, Acta Neuropathol, 2010 Jun 8 (Epub ahead of print).
  40. Calabrese M, Agosta F, Rinaldi F, et al., Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis, Arch Neurol, 2009;66(9):1144–50.
  41. Amato MP, Portaccio E, Goretti B, et al., Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis, Arch Neurol, 2007;64(8):1157–61.
  42. Bellmann-Strobl J, Wuerfel J, et al., Poor PASAT performance correlates with MRI contrast enhancement in multiple sclerosis, Neurology, 2009;73(20):1624–7.
  43. Ghaffar O, Feinstein A, APOE epsilon4 and cognitive dysfunction in multiple sclerosis: a review, J Neuropsychiatry Clin Neurosci, 2010;22(2):155–65.
  44. Amato MP, Portaccio E, Zipoli V, Are there protective treatments for cognitive decline in MS?, J Neurol Sci, 2006;245(1–2):183–6.
  45. Fischer JS, Priore RL, Jacobs LD, et al., Neuropsychological effects of interferon beta-1a in relapsing multiple sclerosis. Multiple Sclerosis Collaborative Research Group, Ann Neurol, 2000;48(6): 885–92.
  46. Kappos L, Freedman MS, Polman CH, et al., Long-term effect of early treatment with interferon beta-1b after a first clinical event suggestive of multiple sclerosis: 5-year active treatment extension of the phase 3 BENEFIT trial, Lancet Neurol, 2009;8:987–97.
  47. Krupp LB, Christodoulou C, Melville P, et al., Donepezil improved memory in multiple sclerosis in a randomized clinical trial, Neurology, 2004;63:1579–85.
  48. Cader S, Palace J, Matthews PM, Cholinergic agonism alters cognitive processing and enhances brain functional connectivity in patients with multiple sclerosis, J Psychopharmacol, 2009;23:686–96.
  49. Cucurachi L, Immovilli P, Granella F, et al., Shortlatency afferent inhibition predicts verbal memory performance in patients with multiple sclerosis, J Neurol, 2008;255:1949–56.
  50. Shaygannejad V, Janghorbani M, Ashtari F, et al., Effects of rivastigmine on memory and cognition in multiple sclerosis, Can J Neurol Sci, 2008;35:476–81.
  51. Langdon DW, Cognitive rehabilitation in multiple sclerosis. In: Kesselring J, Comi G, Thompson A (eds), Multiple Sclerosis: Recovery of Function and Neurorehabilitation, Cambridge University Press, 2010.
3

Article Information

Disclosure

Dawn Langdon has received research support from Bayer Schering Pharma AG/Bayer HealthCare Pharmaceuticals and honoraria from Bayer Schering Pharma AG/Bayer HealthCare Pharmaceuticals, Biogen, Hoffman La Roche, Merck-Serono, Novartis, sanofi-aventis and Serono Symposia, and has been contracted as a cognitive expert on studies for Bayer Schering Pharma and Merck-Serono.

Correspondence

Dawn Langdon, Department of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK. E: D.Langdon@rhul.ac.uk

Received

2010-06-15T00:00:00

4

Further Resources

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Download as PDF
Close Popup