Cognitive impairment in multiple sclerosis

Current Opinion in Neurology

Volumn 20, Issue 3, 2007, Pages 275-280

  Hoffmann, Stefanie ^a   Tittgemeyer, Marc ^b   Von Cramon, D Yves ^a,b  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^b MAX PLANCK INSTITUTE FOR NEUROLOGICAL RESEARCH   (Germany)

Author keywords

Cognitive impairment; Functional magnetic resonance imaging; Magnetic resonance imaging; Multiple sclerosis

Indexed keywords

ADAPTATION; BRAIN DAMAGE; CLINICAL ASSESSMENT; COGNITION; COGNITIVE DEFECT; DISEASE MARKER; DISEASE SEVERITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; INFORMATION PROCESSING; METHODOLOGY; MULTIPLE SCLEROSIS; NERVE TRACT; NEUROIMAGING; NEUROPSYCHOLOGICAL TEST; QUANTITATIVE ANALYSIS; RADIOLOGICAL PARAMETERS; REVIEW; SCREENING; SPATIAL MEMORY; TISSUE INJURY; TISSUE REPAIR; VERBAL MEMORY; VISUAL MEMORY; WHITE MATTER; WORKING MEMORY;

BRAIN; COGNITION DISORDERS; HUMANS; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; NERVE FIBERS, MYELINATED; NEURONS; NEUROPSYCHOLOGICAL TESTS; PREDICTIVE VALUE OF TESTS;

EID: 34248329247     PISSN: 13507540     EISSN: None     Source Type: Journal    
DOI: 10.1097/WCO.0b013e32810c8e87     Document Type: Review

References (77)

1. Rao SM, Leo GJ, Ellington L, et al. Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning. Neurology 1991; 41:692-696.
2. Benedict RH, Wahlig E, Bakshi R, et al. Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change. J Neurol Sci 2005; 231:29-34.
3. Jonsson A, Andresen J, Storr L, et al. Cognitive impairment in newly diagnosed multiple sclerosis patients: a 4-year follow-up study. J Neurol Sci 2006; 245:77-85. This prototype paper presents data from a 4-year follow-up study of cognitive impairment in newly diagnosed multiple sclerosis with a yearly re-examination. It discusses important methodological limitations such as the problem of practice effects when administering cognitive tests repeatedly.
4. Rovaris M, Comi G, Filippi M. MRI markers of destructive pathology in multiple sclerosis-related cognitive dysfunction. J Neurol Sci 2006; 245:111-116. This is a comprehensive review on the neuronal markers of multiple sclerosisrelated cognitive impairment bringing together data from conventional MRI studies, brain-atrophy assessment and quantitative MRI studies. It gives an excellent survey of new quantitative MRI techniques and underlines their importance for the pathogenesis of cognitive deficits in multiple sclerosis.
5. Tekok-Kilic A, Benedict RH, Zivadinov R. Update on the relationships between neuropsychological dysfunction and structural MRI in multiple sclerosis. Expert Rev Neurother 2006; 6:323-331.
6. Mainero C, Pantano P, Caramia F, Pozzilli C. Brain reorganization during attention and memory tasks in multiple sclerosis: insights from functional MRI studies. J Neurol Sci 2006; 245:93-98.
7. Rao SM, Leo GJ, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology 1991; 41:685-691.
8. Amato MP, Ponziani G, Siracusa G, Sorbi S. Cognitive dysfunction in earlyonset multiple sclerosis: a reappraisal after 10 years. Arch Neurol 2001; 58:1602-1606.
9. Zakzanis KK. Distinct neurocognitive profiles in multiple sclerosis subtypes. Arch Clin Neuropsychol 2000; 15:115-136.
10. Pelosi L, Geesken JM, Holly M, et al. Working memory impairment in early multiple sclerosis. Evidence from an event-related potential study of patients with clinically isolated myelopathy. Brain 1997; 120:2039-2058.
11. DeSonneville LMJ, Boringa JB, Reuling IEW, et al. Information processing characteristics in subtypes of multiple sclerosis. Neuropsychologia 2002; 40:1751-1765.
12. Landro NI, Celius EG, Sletvold H. Depressive symptoms account for deficient information processing speed but not for impaired working memory in early phase multiple sclerosis (MS). J Neurol Sci 2004; 217:211-216.
13. Olivares T, Nieto A, Sanchez MP, et al. Pattern of neuropsychological impairment in the early phase of relapsing-remitting multiple sclerosis. Mult Scler 2005; 11:191-197.
14. McCarthy M, Beaumont JG, Thompson R, Peacock S. Modality-specific aspects of sustained and divided attentional performance in multiple sclerosis. Arch Clin Neuropsychol 2005; 20:705-718.
15. 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; 12:677-687.
16. Nocentini U, Pasqualetti P, Bonavita S, et al. Cognitive dysfunction in patients with relapsing-remitting multiple sclerosis. Mult Scler 2006; 12:77-87.
17. Schulz D, Kopp B, Kunkel A, Faiss JH. Cognition in the early stage of multiple sclerosis. J Neurol 2006; 253:1002-1010.
18. Feuillet L, Reuter F, Audoin B, Malikova I. Early cognitive impairment in patients with clinically isolated syndrome suggestive of multiple sclerosis. Mult Scler 2007; 13:124-127.
19. Lengenfelder J, Bryant D, Diamond BJ, et al. Processing speed interacts with working memory efficiency in multiple sclerosis. Arch Clin Neuropsychol 2006; 21:229-238. An elegant paper that demonstrates the usefulness of experimental modification of cognitive tests in order to increase its specificity with respect to singular cognitive functions. It indicates that information processing speed rather than working memory seems to be the primary deficit in the majority of multiple sclerosis patients.
20. Deloire MS, Bonnet MC, Salort E, et al. How to detect cognitive dysfunction at early stages of multiple sclerosis? Mult Scler 2006; 12:445-452.
21. Sepulcre J, Vanotti S, Hernandez R, et al. Cognitive impairment in patients with multiple sclerosis using the Brief Repeatable Battery-Neuropsychology test. Mult Scler 2006; 12:187-195.
22. 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; 13:52-57.
23. Rosti E, Hamalainen P, Koivisto K, Hokkanen L. The PASAT performance among patients with multiple sclerosis: analyses of responding patterns using different scoring methods. Mult Scler 2006; 12:586-593.
24. Fisk JD, Archibald CJ. Limitations of the Paced Auditory Serial Addition Test as a measure of working memory in patients with multiple sclerosis. J Int Neuropsychol Soc 2001; 7:363-372.
25. Solari A, Radice D, Manneschi L, et al. The multiple sclerosis functional composite: different practice effects in the three test components. J Neurol Sci 2005; 228:71-74.
26. Williams J, O'Rourke K, Hutchinson M, Tubridy N. The Face-Symbol Test and the Symbol-Digit Test are not reliable surrogates for the Paced Auditory Serial Addition Test in multiple sclerosis. Mult Scler 2006; 12:599-604.
27. Coo H, Hopman WM, Edgar CM, et al. The Paced Auditory Serial Addition Test: to what extent is it performed as instructed, and is it associated with disease course? Mult Scler 2005; 11:85-89.
28. Balzano J, Chiaravalloti N, Lengenfelder J, et al. Does the scoring of late responses affect the outcome of the paced auditory serial addition task (PASAT)? Arch Clin Neuropsychol 2006; 21:819-825.
29. Henry JD, Beatty WW. Verbal fluency deficits in multiple sclerosis. Neuropsychologia 2006; 44:1166-1174.
30. Rovaris M, Filippi M, Falautano M, et al. Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis. Neurology 1998; 50:1601-1608.
31. Nocentini U, Rossini PM, Carlesimo GA, et al. Patterns of cognitive impairment in secondary progressive stable phase of multiple sclerosis: correlations with MRI findings. Eur Neurol 2001; 45:11-18.
32. Benedict RH, Weinstock-Guttman B, Fishman I, et al. Prediction of neuropsychological impairment in multiple sclerosis: comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden. Arch Neurol 2004; 61:226-230.
33. Benedict RH, Bruce JM, Dwyer MG, et al. Neocortical atrophy, third ventricular width, and cognitive dysfunction in multiple sclerosis. Arch Neurol 2006; 63:1301-1306.
34. Miller DH, Grossman RI, Reingold SC, McFarland HF. The role of magnetic resonance techniques in understanding and managing multiple sclerosis. Brain 1998; 121:3-24.
35. Anzola GP, Bevilacqua L, Cappa SF, et al. Neuropsychological assessment in patients with relapsing-remitting multiple sclerosis and mild functional impairment: correlation with magnetic resonance imaging. J Neurol Neurosurg Psychiatry 1990; 53:142-145.
36. Miki Y, Grossman RI, Udupa JK, et al. Isolated U-fiber involvement in MS: preliminary observations. Neurology 1998; 50:1301-1306.
37. Comi G, Rovaris M, Falautano M, et al. A multiparametric MRI study of frontal lobe dementia in multiple sclerosis. J Neurol Sci 1999; 171:135-144.
38. Sperling RA, Guttmann CR, Hohol MJ, et al. Regional magnetic resonance imaging lesion burden and cognitive function in multiple sclerosis: a longitudinal study. Arch Neurol 2001; 58:115-121.
39. Kutzelnigg A, Lassmann H. Cortical demyelination in multiple sclerosis: a substrate for cognitive deficits? J Neurol Sci 2006; 245:123-126. An interesting description of the distribution and pattern of cortical demyelinated plaques. Band-like subpial demyelination may indeed escape the detection by current magnetic resonance technology.
40. Charil A, Dagher A, Lerch JP, et al. Focal cortical atrophy in multiple sclerosis: relation to lesion load and disability. Neuroimage 2007; 34:509-517.
41. Mehta S, Grabowski TJ, Trivedi Y, Damasio H. Evaluation of voxel-based morphometry for focal lesion detection in individuals. Neuroimage 2003; 20:1438-1454.
42. Rorden C, Karnath HO. Using human brain lesions to infer function: a relic from a past era in the fMRI age? Nat Rev Neurosci 2004; 5:813-819.
43. Stamatakis EA, Tyler LK. Identifying lesions on structural brain images-validation of the method and application to neuropsychological patients. Brain Lang 2005; 94:167-177.
44. Filippi M, Grossman RI. MRI techniques to monitor MS evolution: the present and the future. Neurology 2002; 58:1147-1153.
45. De Stefano N, Matthews PM, Filippi M, et al. Evidence of early cortical atrophy in MS: relevance to white matter changes and disability. Neurology 2003; 60:1157-1162.
46. Davies GR, Ramio-Torrenta L, Hadjiprocopis A, et al. Evidence for grey matter MTR abnormality in minimally disabled patients with early relapsingremitting multiple sclerosis. J Neurol Neurosurg Psychiatry 2004; 75:998-1002.
47. Kutzelnigg A, Lucchinetti CF, Stadelmann C, et al. Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 2005; 128:2705-2712.
48. Oreja-Guevara C, Rovaris M, Iannucci G, et al. Progressive gray matter damage in patients with relapsing-remitting multiple sclerosis: a longitudinal diffusion tensor magnetic resonance imaging study. Arch Neurol 2005; 62:578-584.
49. Rovaris M, Gallo A, Valsasina P, et al. Short-term accrual of gray matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRI. Neuroimage 2005; 24:1139-1146.
50. Lassmann H. Brain damage when multiple sclerosis is diagnosed clinically. Lancet 2003; 361:1317-1318.
51. Compston A. Making progress on the natural history of multiple sclerosis. Brain 2006; 129:561-563.
52. Amato MP, Bartolozzi ML, Zipoli V, et al. Neocortical volume decrease in relapsing-remitting MS patients with mild cognitive impairment. Neurology 2004; 63:89-93.
53. Morgen K, Sammer G, Courtney SM, et al. Evidence for a direct association between cortical atrophy and cognitive impairment in relapsing-remitting MS. Neuroimage 2005; 30:891-898.
54. Brass SD, Benedict RH, Weinstock-Guttman B, et al. Cognitive impairment is associated with subcortical magnetic resonance imaging grey matter T2 hypointensity in multiple sclerosis. Mult Scler 2006; 12:437-444.
55. Portaccio E, Amato MP, Bartolozzi ML, et al. Neocortical volume decrease in relapsing-remitting multiple sclerosis with mild cognitive impairment. J Neurol Sci 2006; 245:195-199.
56. Sanfilipo MP, Benedict RH, Weinstock-Guttman B, Bakshi R. Gray and white matter brain atrophy and neuropsychological impairment in multiple sclerosis. Neurology 2006; 66:685-692.
57. Filippi M, Dousset V, McFarland HF, et al. Role of magnetic resonance imaging in the diagnosis and monitoring of multiple sclerosis: consensus report of the White Matter Study Group. J Magn Reson Imaging 2002; 15:499-504.
58. Filippi M, Tortorella C, Rovaris M, et al. Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis. J Neurol Neurosurg Psychiatry 2000; 68:157-161.
59. Deloire MS, Salort E, Bonnet M, et al. Cognitive impairment as marker of diffuse brain abnormalities in early relapsing remitting multiple sclerosis. J Neurol Neurosurg Psychiatry 2005; 76:519-526.
60. Rovaris M, Iannucci G, Falautano M, et al. Cognitive dysfunction in patients with mildly disabling relapsing-remitting multiple sclerosis: an exploratory study with diffusion tensor MR imaging. J Neurol Sci 2002; 195:103-109.
61. Foong J, Rozewicz L, Davie CA, et al. Correlates of executive function in multiple sclerosis: the use of magnetic resonance spectroscopy as an index of focal pathology. J Neuropsychiatry Clin Neurosci 1999; 11:45-50.
62. Mathiesen HK, Jonsson A, Tscherning T, et al. Correlation of global N-acetyl aspartate with cognitive impairment in multiple sclerosis. Arch Neurol 2006; 63:533-536.
63. Sorensen PS, Jonsson A, Mathiesen HK, et al. The relationship between MRI and PET changes and cognitive disturbances in MS. J Neurol Sci 2006; 245:99-102.
64. Audoin B, Au Duong MV, Ranjeva JP, et al. Magnetic resonance study of the influence of tissue damage and cortical reorganization on PASAT performance at the earliest stage of multiple sclerosis. Hum Brain Mapp 2005; 24:216-228.
65. Au Doung MV, Boulanouar K, Audoin B, et al. Modulation of effective connectivity inside the working memory network in patients at the earliest stage of multiple sclerosis. Neuroimage 2005; 24:533-538.
66. Buckle GJ. Functional magnetic resonance imaging and multiple sclerosis: the evidence for neuronal plasticity. J Neuroimaging 2005; 15:82S-93S.
67. Chiaravalloti N, Hillary F, Ricker J, et al. Cerebral activation patterns during working memory performance in multiple sclerosis using FMRI. J Clin Exp Neuropsychol 2005; 27:33-54.
68. Pantano P, Mainero C, Caramia F. Functional brain reorganization in multiple sclerosis: evidence from fMRI studies. J Neuroimaging 2006; 16:104-114.
69. Audoin B, Au Duong MV, Malikova I, et al. Functional magnetic resonance imaging and cognition at the very early stage of MS. J Neurol Sci 2006; 245:87-91.
70. Rachbauer D, Kronbichler M, Ropele S, et al. Differences in cerebral activation patterns in idiopathic inflammatory demyelination using the paced visual serial addition task: an fMRI study. J Neurol Sci 2006; 244:11-16.
71. Bobholz JA, Rao SM, Lobeck L, et al. fMRI study of episodic memory in relapsing-remitting MS: correlation with T2 lesion volume. Neurology 2006; 67:1640-1645.
72. Forn C, Barros-Loscertales A, Escudero J, et al. Cortical reorganization during PASAT task in MS patients with preserved working memory functions. Neuroimage 2006; 31:686-691.
73. Sweet LH, Rao SM, Primeau M, et al. Functional magnetic resonance imaging response to increased verbal working memory demands among patients with multiple sclerosis. Hum Brain Mapp 2006; 27:28-36.
74. Cader S, Cifelli A, Abu-Omar Y, et al. Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis. Brain 2006; 129:527-537. The paper includes an interesting reflection on the question as to whether altered functional interactions between brain regions normally recruited provide an alternative adaptive mechanism with multiple sclerosis pathology.
75. Rocca MA, Filippi M. Toward a better understanding of cerebral plasticity in multiple sclerosis. J Neurol Sci 2006; 244:1-2.
76. Ranjeva JP, Audoin B, Au Duong MV, et al. Structural and functional surrogates of cognitive impairment at the very early stage of multiple sclerosis. J Neurol Sci 2006; 245:161-167. An innovative study using a multiregression model to demonstrate the importance of both morphological and functional MRI parameters for explaining cognitive performance in multiple sclerosis.
77. Achiron A, Barak Y. Cognitive changes in early MS: a call for a common framework. J Neurol Sci 2006; 245:47-51. An important paper calling for a consensus with respect to the temporal criteria of early multiple sclerosis, the definition of cognitive impairment and the application of neuropsychological tools. It provides an excellent survey of studies investigating cognitive impairment in early multiple sclerosis.