Deep grey matter T2 hypo-intensity in patients with paediatric multiple sclerosis

Multiple Sclerosis Journal

Volumn 17, Issue 6, 2011, Pages 702-707

  Ceccarelli, Antonia ^a   Rocca, Maria A ^a   Perego, Elisabetta ^a   Moiola, Lucia ^a   Ghezzi, Angelo ^b   Martinelli, Vittorio ^a   Comi, Giancarlo ^a   Filippi, Massimo ^a  

^a SAN RAFFAELE HOSPITAL   (Italy)

^b Ospedale di Gallarate   (Italy)

Author keywords

deep grey matter; magnetic resonance imaging; paediatric multiple sclerosis; T2 hypo intensity

Indexed keywords

ADOLESCENT; ARTICLE; BASAL GANGLION; BRAIN SIZE; CAUDATE NUCLEUS; CHILD; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; CORRELATIONAL STUDY; DEEP GREY MATTER; FEMALE; FOLLOW UP; GLOBUS PALLIDUS; GRAY MATTER; HUMAN; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; ONSET AGE; PILOT STUDY; PUTAMEN; QUANTITATIVE ANALYSIS; RELAPSE; REMISSION; SCHOOL CHILD; THALAMUS;

EID: 79959429791     PISSN: 13524585     EISSN: 14770970     Source Type: Journal    
DOI: 10.1177/1352458510395645     Document Type: Article

References (41)

1. Banwell B, Ghezzi A, Bar-Or A, Mikaeloff Y, Tardieu M. Multiple sclerosis in children: clinical diagnosis, therapeutic strategies, and future directions. Lancet Neurol. 2007 ; 6: 887-902 (Pubitemid 47405001)
2. Banwell B, Shroff M, Ness JM, Jeffery D, Schwid S, Weinstock-Guttman B. MRI features of paediatric multiple sclerosis. Neurology. 2007 ; 68: S46 - S53
3. Callen DJ, Shroff MM, Branson HM, et al. MRI in the diagnosis of paediatric multiple sclerosis. Neurology. 2009 ; 72: 961-967
4. Bruhn H, Frahm J, Merboldt KD, et al. Multiple sclerosis in children: cerebral metabolic alterations monitored by localized proton magnetic resonance spectroscopy in vivo. Ann Neurol. 1992 ; 32: 140-150
5. Mezzapesa DM, Rocca MA, Falini A, et al. A preliminary diffusion tensor and magnetization transfer magnetic resonance imaging study of early-onset multiple sclerosis. Arch Neurol. 2004 ; 61: 366-368 (Pubitemid 38327354)
6. Tortorella P, Rocca MA, Mezzapesa DM, et al. MRI quantification of grey and white matter damage in patients with early-onset multiple sclerosis. J Neurol. 2006 ; 253: 903-907 (Pubitemid 44100444)
7. Absinta M, Rocca MA, Moiola L, et al. Brain macro- and microscopic damage in patients with paediatric MS. J Neurol Neurosurg Psychiatry. 2010 ; 81: 1357-1362
8. Rocca MA, Absinta M, Ghezzi A, Moiola L, Comi G, Filippi M. Is a preserved functional reserve a mechanism limiting clinical impairment in paediatric MS patients?. Hum Brain Mapp. 2009 ; 30: 2844-2851
9. Rocca MA, Absinta M, Moiola L, et al. Functional and structural connectivity of the motor network in paediatric and adult-onset relapsing-remitting multiple sclerosis. Radiology. 2010 ; 254: 541-550
10. Mesaros S, Rocca MA, Absinta M, et al. Evidence of thalamic grey matter loss in paediatric multiple sclerosis. Neurology. 2008 ; 70: 1107-1112 (Pubitemid 351464767)
11. Bakshi R, Benedict RH, Bermel RA, et al. T2 hypo-intensity in the deep grey matter of patients with multiple sclerosis: a quantitative magnetic resonance imaging study. Arch Neurol. 2002 ; 59: 62-68 (Pubitemid 34052557)
12. Stankiewicz J, Panter SS, Neema M, Arora A, Batt CE, Bakshi R. Iron in chronic brain disorders: imaging and neurotherapeutic implications. Neurotherapeutics. 2007 ; 4: 371-386 (Pubitemid 46962416)
13. Bakshi R, Shaikh ZA, Janardhan V. MRI T2 shortening ('black T2') in multiple sclerosis: frequency, location, and clinical correlation. Neuroreport. 2000 ; 11: 15-21 (Pubitemid 30053382)
14. Neema M, Arora A, Healy BC, et al. Deep grey matter involvement on brain MRI scans is associated with clinical progression in multiple sclerosis. J Neuroimaging. 2009 ; 19: 3-8
15. Zhang Y, Zabad RK, Wei X, Metz LM, Hill MD, Mitchell JR. Deep grey matter 'black T2' on 3 tesla magnetic resonance imaging correlates with disability in multiple sclerosis. Mult Scler. 2007 ; 13: 880-883 (Pubitemid 351540859)
16. Brass SD, Benedict RH, Weinstock-Guttman B, Munschauer F, Bakshi R. Cognitive impairment is associated with subcortical magnetic resonance imaging grey matter T2 hypo-intensity in multiple sclerosis. Mult Scler. 2006 ; 12: 437-444 (Pubitemid 44132584)
17. Neema M, Stankiewicz J, Arora A, et al. T1- and T2-based MRI measures of diffuse grey matter and white matter damage in patients with multiple sclerosis. J Neuroimaging. 2007 ; 17(Suppl. 1): 16S - 21S (Pubitemid 46558263)
18. Ceccarelli A, Rocca MA, Neema M, et al. Deep grey matter T2 hypo-intensity is present in patients with clinically isolated syndromes suggestive of multiple sclerosis. Mult Scler. 2010 ; 16: 39-44
19. Ceccarelli A, Filippi M, Neema M, et al. T2 hypo-intensity in the deep grey matter of patients with benign multiple sclerosis. Mult Scler. 2009 ; 15: 678-686
20. Krupp LB, Banwell B, Tenembaum S. Consensus definitions proposed for paediatric multiple sclerosis and related disorders. Neurology. 2007 ; 68: S7 - S12
21. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983 ; 33: 1444-1452 (Pubitemid 14237132)
22. Dale RC, Brilot F, Banwell B. Paediatric central nervous system inflammatory demyelination: acute disseminated encephalomyelitis, clinically isolated syndromes, neuromyelitis optica, and multiple sclerosis. Curr Opin Neurol. 2009 ; 22: 233-240
23. Bermel RA, Innus MD, Tjoa CW, Bakshi R. Selective caudate atrophy in multiple sclerosis: a 3D MRI parcellation study. Neuroreport. 2003 ; 14: 335-339 (Pubitemid 36337926)
24. Roelcke U, Kappos L, Lechner-Scott J, et al. Reduced glucose metabolism in the frontal cortex and basal ganglia of multiple sclerosis patients with fatigue: a 18F-fluorodeoxyglucose positron emission tomography study. Neurology. 1997 ; 48: 1566-1571
25. Vercellino M, Masera S, Lorenzatti M, et al. Demyelination, inflammation, and neurodegeneration in multiple sclerosis deep grey matter. J Neuropathol Exp Neurol. 2009 ; 68: 489-502
26. Xu X, Wang Q, Zhang M. Age, gender, and hemispheric differences in iron deposition in the human brain: an in vivo MRI study. Neuroimage. 2008 ; 40: 35-42
27. Langkammer C, Krebs N, Goessler W, et al. Quantitative MR imaging of brain iron: a postmortem validation study. Radiology. 2010 ; 257: 455-462
28. Fabiano AJ, Horsfield MA, Bakshi R. Interhemispheric asymmetry of brain diffusivity in normal individuals: a diffusion-weighted MR imaging study. Am J Neuroradiol. 2005 ; 26: 1089-1094 (Pubitemid 43821954)
29. Yeh EA, Chitnis T, Krupp L, et al. Paediatric multiple sclerosis. Nat Rev Neurol. 2009 ; 5: 621-631
30. Ding XQ, Kucinski T, Wittkugel O, et al. Normal brain maturation characterized with age-related T2 relaxation times: an attempt to develop a quantitative imaging measure for clinical use. Invest Radiol. 2004 ; 39: 740-746 (Pubitemid 39552434)
31. Pfefferbaum A, Adalsteinsson E, Rohlfing T, Sullivan EV. Diffusion tensor imaging of deep grey matter brain structures: effects of age and iron concentration. Neurobiol Aging. 2010 ; 31: 482-493
32. Bartzokis G, Tishler TA, Lu PH, et al. Brain ferritin iron may influence age- and gender-related risks of neurodegeneration. Neurobiol Aging. 2007 ; 28: 414-423 (Pubitemid 46177391)
33. Hallgren B, Sourander P. The effect of age on the non-haemin iron in the human brain. J Neurochem. 1958 ; 3: 41-51
34. Fiehring H, Sundermann A. [Ferritin in the normal human brain.]. Z Gesamte Inn Med. 1959 ; 14: 787-790
35. Aquino D, Bizzi A, Grisoli M, et al. Age-related iron deposition in the basal ganglia: quantitative analysis in healthy subjects. Radiology. 2009 ; 252: 165-172
36. Khalil M, Enzinger C, Langkammer C, et al. Quantitative assessment of brain iron by R(2)* relaxometry in patients with clinically isolated syndrome and relapsing-remitting multiple sclerosis. Mult Scler. 2009 ; 15: 1048-1054
37. Confavreux C, Vukusic S, Adeleine P. Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnesic process. Brain. 2003 ; 126: 770-782 (Pubitemid 36372978)
38. Degenhardt A, Ramagopalan SV, Scalfari A, Ebers GC. Clinical prognostic factors in multiple sclerosis: a natural history review. Nat Rev Neurol. 2009 ; 5: 672-682
39. Bermel RA, Puli SR, Rudick RA, et al. Prediction of longitudinal brain atrophy in multiple sclerosis by grey matter magnetic resonance imaging T2 hypo-intensity. Arch Neurol. 2005 ; 62: 1371-1376 (Pubitemid 41352053)
40. Haacke EM, Makki M, Ge Y, et al. Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging. J Magn Reson Imaging. 2009 ; 29: 537-544
41. Ge Y, Jensen JH, Lu H, et al. Quantitative assessment of iron accumulation in the deep grey matter of multiple sclerosis by magnetic field correlation imaging. Am J Neuroradiol. 2007 ; 28: 1639-1644 (Pubitemid 47598131)