Combining tractography and cortical measures to test system-specific hypotheses in multiple sclerosis

Multiple Sclerosis

Volumn 16, Issue 5, 2010, Pages 555-565

  Gorgoraptis, Nikos ^a   Wheeler Kingshott, Claudia A M ^a   Jenkins, Thomas M ^a   Altmann, Daniel R ^a,b   Miller, David H ^a   Thompson, Alan J ^a   Ciccarelli, Olga ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

Atrophy; MRI; Relapsing remitting multiple sclerosis

Indexed keywords

ADULT; ARTICLE; BRAIN SIZE; CLINICAL ARTICLE; CONTROLLED STUDY; DISABILITY; FEMALE; GRAY MATTER; HEMIPARESIS; HUMAN; HYPOTHESIS; MALE; MOTOR CORTEX; MOTOR SYSTEM; MULTIPLE SCLEROSIS; PYRAMIDAL TRACT; TRACTOGRAPHY; WHITE MATTER;

ADULT; ANISOTROPY; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MOTOR CORTEX; MULTIPLE SCLEROSIS; PYRAMIDAL TRACTS;

EID: 77952872227     PISSN: 13524585     EISSN: None     Source Type: Journal    
DOI: 10.1177/1352458510362440     Document Type: Article

References (56)

1. Ciccarelli O., Catani M., Johansen-Berg H., Clark C., Thompson A. Diffusion-based tractography in neurological disorders: concepts, applications, and future developments. Lancet Neurol 2008 ; 7: 715-727.
2. Behrens TE, Woolrich MW, Jenkinson M., et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 2003 ; 50: 1077-1088.
3. Dyrby TB, Sogaard LV, Parker GJ, et al. Validation of in vitro probabilistic tractography. Neuroimage 2007 ; 37: 1267-1277.
4. Cader S., Johansen-Berg H., Wylezinska M., et al. Discordant white matter N-acetylasparate and diffusion MRI measures suggest that chronic metabolic dysfunction contributes to axonal pathology in multiple sclerosis. Neuroimage 2007 ; 36: 19-27.
5. Ciccarelli O., Behrens TE, Altmann DR, et al. Probabilistic diffusion tractography: a potential tool to assess the rate of disease progression in amyotrophic lateral sclerosis. Brain 2006 ; 129: 1859-1871.
6. Ciccarelli O., Wheeler-Kingshott CA, McLean MA, et al. Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis. Brain 2007 ; 130: 2220-2231.
7. Gouw AA, Seewann A., Vrenken H., et al. Heterogeneity of white matter hyperintensities in Alzheimers disease: post-mortem quantitative MRI and neuropathology. Brain 2008 ; 131: 3286-3298.
8. Schmierer K., Wheeler-Kingshott CA, Boulby PA, et al. Diffusion tensor imaging of post mortem multiple sclerosis brain. Neuroimage 2007 ; 35: 467-477.
9. Lin F., Yu C., Jiang T., Li K., Chan P. Diffusion tensor tractography-based group mapping of the pyramidal tract in relapsing-remitting multiple sclerosis patients. AJNR Am J Neuroradiol 2007 ; 28: 278-282.
10. Geurts JJ, Barkhof F. Grey matter pathology in multiple sclerosis. Lancet Neurol 2008 ; 7: 841-851.
11. Roosendaal S., Moraal B., Pouwels P., et al. Accumulation of cortical lesions in MS: relation with cognitive impairment. Mult Scler 2009 ; 15: 708-714.
12. Charil A., Dagher A., Lerch JP, Zijdenbos AP, Worsley KJ, Evans AC Focal cortical atrophy in multiple sclerosis: relation to lesion load and disability. Neuroimage 2007 ; 34: 509-517.
13. Chen JT, Narayanan S., Collins DL, Smith SM, Matthews PM, Arnold DL Relating neocortical pathology to disability progression in multiple sclerosis using MRI. Neuroimage 2004 ; 23: 1168-1175.
14. Sailer M., Fischl B., Salat D., et al. Focal thinning of the cerebral cortex in multiple sclerosis. Brain 2003 ; 126: 1734-1744. (Pubitemid 36917333)
15. Hier DB, Wang J. Reduced cortical surface area in multiple sclerosis. Neurol Res 2007 ; 29: 231-232.
16. Geurts JJ, Stys PK, Minagar A., Amor S., Zivadinov R. Gray matter pathology in (chronic) MS: Modern views on an early observation. J Neurol Sci 2009 ; 282: 12-20.
17. Narayanan S., Fu L., Pioro E., et al. Imaging of axonal damage in multiple sclerosis: spatial distribution of magnetic resonance imaging lesions. Ann Neurol 1997 ; 41: 385-391.
18. Bodini B., Khaleeli Z., Cercignani M., et al. Exploring the relationship between white matter and gray matter damage in early primary progressive multiple sclerosis: An in vivo study with TBSS and VBM. Hum Brain Mapp 2009 ; 30: 2852-2861.
19. McDonald WI, Compston A., Edan G., et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001 ; 50: 121-127.
20. Polman CH, Reingold SC, Edan G., et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria". Ann Neurol 2005 ; 58: 840-846.
21. Vollmer T. The natural history of relapses in multiple sclerosis. J Neurol Sci 2007 ; 256 (Suppl 1). S5 - S13.
22. Kurtzke JF Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983 ; 33: 1444-1452.
23. Goodkin DE, Hertsgaard D., Seminary J. Upper extremity function in multiple sclerosis: improving assessment sensitivity with box-and-block and nine-hole peg tests. Arch Phys Med Rehabil 1988 ; 69: 850-854.
24. Jones DK, Horsfield MA, Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 1999 ; 42: 515-525.
25. Smith SM Fast robust automated brain extraction. Hum Brain Mapp 2002 ; 17: 143-155.
26. Jenkinson M., Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001 ; 5: 143-156.
27. Zhang Y., Brady M., Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001 ; 20: 45-57.
28. Johansen-Berg H., Behrens TE, Sillery E., et al. Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. Cereb Cortex 2005 ; 15: 31-39.
29. Ramnani N., Behrens TE, Johansen-Berg H., et al. The evolution of prefrontal inputs to the cortico-pontine system: diffusion imaging evidence from Macaque monkeys and humans. Cereb Cortex 2006 ; 16: 811-818.
30. Guye M., Parker GJ, Symms M., et al. Combined functional MRI and tractography to demonstrate the connectivity of the human primary motor cortex in vivo. Neuroimage 2003 ; 19: 1349-1360.
31. Dale AM, Fischl B., Sereno MI Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999 ; 9: 179-194.
32. Fischl B., Sereno MI, Dale AM Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage 1999 ; 9: 195-207.
33. Fischl B., Sereno MI, Tootell RB, et al. High-resolution intersubject averaging and a coordinate system for the cortical surface Automatically parcellating the human cerebral cortex. Hum Brain Mapp 1999 ; 8: 272-284.
34. Fischl B., Dale AM Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A 2000 ; 97: 11050-11055.
35. Fischl B., Liu A., Dale AM Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 2001 ; 20: 70-80.
36. Fischl B., Salat DH, van der Kouwe AJ, et al. Sequence-independent segmentation of magnetic resonance images. Neuroimage 2004 ; 23 (Suppl 1). S69 - S84.
37. Han X., Jovicich J., Salat D., et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 2006 ; 32: 180-194.
38. Jovicich J., Czanner S., Greve D., et al. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage 2006 ; 30: 436-443.
39. Segonne F., Dale AM, Busa E., et al. A hybrid approach to the skull stripping problem in MRI. Neuroimage 2004 ; 22: 1060-1075.
40. Desikan RS, Segonne F., Fischl B., et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006 ; 31: 968-980.
41. Allison T., McCarthy G., Luby M., Puce A., Spencer DD Localization of functional regions of human mesial cortex by somatosensory evoked potential recording and by cortical stimulation. Electroencephalogr Clin Neurophysiol 1996 ; 100: 126-140.
42. Nieuwenhuys R., Voogt J., Van Huizen C. The human central nervous system: a synopsis and atlas, 3 rd edition. Berlin: Springer, 1988.
43. Simon JH, Kinkel RP, Jacobs L., Bub L., Simonian N. A Wallerian degeneration pattern in patients at risk for MS. Neurology 2000 ; 54: 1155-1160.
44. Reich DS, Smith SA, Zackowski KM, et al. Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis. Neuroimage 2007 ; 38: 271-279.
45. Wilson M., Tench CR, Morgan PS, Blumhardt LD Pyramidal tract mapping by diffusion tensor magnetic resonance imaging in multiple sclerosis: improving correlations with disability. J Neurol Neurosurg Psychiatry 2003 ; 74: 203-207.
46. Reich DS, Zackowski KM, Gordon-Lipkin EM, et al. Corticospinal tract abnormalities are associated with weakness in multiple sclerosis. AJNR Am J Neuroradiol 2008 ; 29: 333-339.
47. Chard D., Miller DH Grey matter pathology in clinically early multiple sclerosis: Evidence from magnetic resonance imaging. J Neurol Sci 2009 ; 282: 5-11.
48. Wegner C., Esiri MM, Chance SA, Palace J., Matthews PM Neocortical neuronal, synaptic, and glial loss in multiple sclerosis. Neurology 2006 ; 67: 960-967.
49. Rosas HD, Salat DH, Lee SY, et al. Cerebral cortex and the clinical expression of Huntingtons disease: complexity and heterogeneity. Brain 2008 ; 131: 1057-1068.
50. Fjell AM, Westlye LT, Amlien I., et al. High consistency of regional cortical thinning in aging across multiple samples. Cereb Cortex 2009 ; 19: 2001-2012.
51. Jovicich J., Czanner S., Han X., et al. MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. Neuroimage 2009 ; 46: 177-192.
52. Wang J., Hier DB Motor reorganization in multiple sclerosis. Neurol Res 2007 ; 29: 3-8.
53. Pantano P., Mainero C., Caramia F. Functional brain reorganization in multiple sclerosis: evidence from fMRI studies. J Neuroimaging 2006 ; 16: 104-114.
54. Reddy H., Narayanan S., Woolrich M., et al. Functional brain reorganization for hand movement in patients with multiple sclerosis: defining distinct effects of injury and disability. Brain 2002 ; 125: 2646-2657.
55. Johansen-Berg H. Structural plasticity: rewiring the brain. Curr Biol 2007 ; 17: R141 - R144.
56. Rothman KJ No adjustments are needed for multiple comparisons. Epidemiology 1990 ; 1: 43-46.