Use of combined conventional and quantitative MRI to quantify pathology related to cognitive impairment in multiple sclerosis

Journal of Neurology, Neurosurgery and Psychiatry

Volumn 79, Issue 4, 2008, Pages 437-441

  Lin, X ^a   Tench, C R ^a   Morgan, P S ^a   Constantinescu, C S ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CLINICAL ARTICLE; COGNITIVE DEFECT; CONTROLLED STUDY; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; EXPANDED DISABILITY STATUS SCALE; FEMALE; HUMAN; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SCORING SYSTEM; TISSUE INJURY;

EID: 41149116636     PISSN: 00223050     EISSN: 1468330X     Source Type: Journal    
DOI: 10.1136/jnnp.2006.112177     Document Type: Article

References (48)

1. Achiron A, Barak Y. Cognitive impairment in probable multiple sclerosis. J Neurol Neurosurg Psychiatry 2003;74:443-6.
2. Foong J, Rozewicz L, Quaghebeur G, et al. Executive function in multiple sclerosis. The role of frontal lobe pathology. Brain 1997;120:15-26.
3. Rao SM, Leo GJ, Haughton VM, et al. Correlation of magnetic resonance imaging with neuropsychological testing in multiple sclerosis. Neurology 1989;39:161-6.
4. Miki Y, Grossman RI, Udupa JK, et al. Isolated U-fiber involvement in MS: preliminary observations. Neurology 1998;50:1301-6.
5. 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;195:103-9.
6. Camp SJ, Stevenson VL, Thompson AJ, et al. A longitudinal study of cognition in primary progressive multiple sclerosis. Brain 2005;128:2891-8.
7. Lin X, Tench CR, Morgan PS, et al. 'Importance sampling' in MS: use of diffusion tensor tractography to quantify pathology related to specific impairment. J Neurol Sci 2005;237:13-9.
8. Lazeron RH, Boringa JB, Schouten M, et al. Brain atrophy and lesion load as explaining parameters for cognitive impairment in multiple sclerosis. Mult Scler 2005;11:524-31.
9. Fulton JC, Grossman RI, Udupa J, et al. MR lesion load and cognitive function in patients with relapsing-remitting multiple sclerosis. AJNR Am J Neuroradiol 1999;20:1951-5.
10. Foong J, Rozewicz L, Chong WK, et al. A comparison of neuropsychological deficits in primary and secondary progressive multiple sclerosis. J Neurol 2000;247:97-101.
11. Zivadinov R, De Masi R, Nasuelli D, et al. MRI techniques and cognitive impairment in the early phase of relapsing-remitting multiple sclerosis. Neuroradiology 2001;43:272-8.
12. Zivadinov R, Sepcic J, Nasuelli D, et al. A longitudinal study of brain atrophy and cognitive disturbances in the early phase of relapsing-remitting multiple sclerosis. J Neurol Neurosurg Psychiatry 2001;70:773-80.
13. Filippi M, Rocca MA, Comi G. The use of quantitative magnetic-resonance-based techniques to monitor the evolution of multiple sclerosis. Lancet Neurol 2003;2:337-46.
14. Rovaris M, Filippi M, Minicucci L, et al. Cortical/subcortical disease burden and cognitive impairment in patients with multiple sclerosis. AJNR Am J Neuroradiol 2000;21:402-8.
15. 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;68:157-61.
16. 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;76:519-26.
17. 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;24:216-28.
18. Filippi M, Inglese M. Overview of diffusion-weighted magnetic resonance studies in multiple sclerosis. J Neurol Sci 2001;186:S37-43.
19. Tench CR, Morgan PS, Wilson M, et al. White matter mapping using diffusion tensor MRI. Magn Reson Med 2002;47:967-72.
20. Pagani E, Filippi M, Rocca MA, et al. A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: application to patients with clinically isolated syndromes suggestive of multiple sclerosis. Neuroimage 2005;26:258-65.
21. Wilson M, Morgan PS, Lin X, et al. Quantitative diffusion weighted magnetic resonance imaging, cerebral atrophy, and disability in multiple sclerosis. J Neurol Neurosurg Psychiatry 2001;70:318-22.
22. Gronwall DM. Paced auditory serial-addition task: a measure of recovery from concussion. Percept Mot Skills 1977;44:367-73.
23. Fischer JS, Rudick RA, Cutter GR, et al. The Multiple Sclerosis Functional Composite Measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force. Mult Scler 1999;5:244-50.
24. Gean-Marton AD, Vezina LG, Marton KI, et al. Abnormal corpus callosum: a sensitive and specific indicator of multiple sclerosis. Radiology 1991;180:215-21.
25. Yamauchi H, Fukuyama H, Ogawa M, et al. Callosal atrophy in patients with lacunar infarction and extensive leukoaraiosis. An indicator of cognitive impairment. Stroke 1994;25:1788-93.
26. Edwards SG, Liu C, Bernhardt LD. Cognitive correlates of supratentorial atrophy on MRI in multiple sclerosis. Acta Neurol Scand 2001;104:214-23.
27. Pelletier J, Habib M, Lyon-Caen O, et al. Functional and magnetic resonance imaging correlates of callosal involvement in multiple sclerosis. Arch Neurol 1993;50:1077-82.
28. Merkler D, Boretius S, Stadelmann C, et al. Multicontrast MRI of remyelination in the central nervous system. NMR Biomed 2005;18:395-403.
29. Poser CM, Paty DW, Scheinberg L, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol 1983;13:227-31.
30. Reese TG, Heid O, Weisskoff RM, et al. Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med 2003;49:177-82.
31. Basser PJ, Pierpaoli C. A simplified method to measure the diffusion tensor from seven MR images. Magn Reson Med 1998;39:928-34.
32. Morgan PS, Bowtell RW, McIntyre DJ, et al. Correction of spatial distortion in EPI due to inhomogeneous static magnetic fields using the reversed gradient method. J Magn Reson Imaging 2004;19:499-507.
33. Sonka M, Hlavac V, Boyle R. Image Processing, Analysis and Machine Vision. London: Chapman & Hall, 1993.
34. Vaithianathar L, Tench CR, Morgan PS, et al. Magnetic resonance imaging of the cervical spinal cord in multiple sclerosis-a quantitative T1 relaxation time mapping approach. J Neurol 2003;250:307-15.
35. Boringa JB, Lazeron RH, Reuling IE, et al. The brief repeatable battery of neuropsychological tests: normative values allow application in multiple sclerosis clinical practice. Mult Scler 2001;7:263-7.
36. Camp SJ, Stevenson VL, Thompson AJ, et al. Cognitive function in primary progressive and transitional progressive multiple sclerosis: a controlled study with MRI correlates. Brain 1999;122:1341-8.
37. Amato MP, Ponziani G, Pracucci G, et al. Cognitive impairment in early-onset multiple sclerosis. Pattern, predictors, and impact on everyday life in a 4-year follow-up. Arch Neurol 1995;52:168-72.
38. van Buchem MA, Grossman RI, Armstrong C, et al. Correlation of volumetric magnetization transfer imaging with clinical data in MS. Neurology 1998;50:1609-17.
39. Werring DJ, Clark CA, Barker GJ, et al. Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis. Neurology 1999;52:1626-32.
40. Filippi M, Iannucci G, Cercignani M, et al. A quantitative study of water diffusion in multiple sclerosis lesions and normal-appearing white matter using echo-planar imaging. Arch Neurol 2000;57:1017- 21.
41. Filippi M, Cercignani M, Inglese M, et al. Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology 2001;56:304-11.
42. Cercignani M, Bozzali M, lannucci G, et al. Magnetisation transfer ratio and mean diffusivity of normal appearing white and grey matter from patients with multiple sclerosis. J Neurol Neurosurg Psychiatry 2001;70:311-7.
43. Benedict RHB, Dwyer MG, Weinstock-Guttman B, et al. Diffuse weighted imaging measures are correlated with multiple cognitive domains in multiple sclerosis. Neurology 2005;64(suppl):A241-2.
44. Rovaris M, Filippi M. "Importance sampling": a strategy to overcome the clinical/MRI paradox in MS? J Neurol Sci 2005;237:1-3.
45. Lin X, Blumhardt LD. Inflammation and atrophy in multiple sclerosis: MRI associations with disease course. J Neurol Sci 2001;189:99-104.
46. Chard DT, Griffin CM, Parker GJ, et al. Brain atrophy in clinically early relapsing-remitting multiple sclerosis. Brain 2002;125:327-37.
47. Vaithianathar L, Tench CR, Morgan PS, et al. T1 relaxation time mapping of white matter tracts in multiple sclerosis defined by diffusion tensor imaging. J Neurol 2002;249:1272-8.
48. Filippi M, Tortorella C, Bozzali M. Normal-appearing white matter changes in multiple sclerosis: the contribution of magnetic resonance techniques. Mult Scler 1999;5:273-82.