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Research Article| Volume 319, ISSUE 1-2, P105-110, August 15, 2012

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MRI mean diffusivity detects widespread brain degeneration in multiple sclerosis

      Abstract

      We investigated the magnetic resonance imaging (MRI) findings of 32 multiple sclerosis (MS) patients using voxel-based morphometry (VBM) and voxel-based analysis of white matter fluid-attenuated inversion recovery image (FLAIR) high-intensity lesions and diffusion tensor imaging (DTI). Compared with 18 healthy controls, MS patients showed gray matter volume reduction in the thalamus, hypothalamus, caudate, limbic lobe, and frontal lobe. A marked volume reduction of white matter was evident along the ventriculus lateralis and corpus callosum. FLAIR high-intensity lesions were observed beside the ventriculus lateralis. DTI revealed reduced fractional anisotropy areas similar to those of the FLAIR high-intensity lesions. Changes in the volume of increased mean diffusivity (MD) were the most widespread and extended to normal-appearing white matter (p<0.001). Multiple regression analysis revealed that MD values were significantly correlated with both disease duration (r=0.381, p=0.032) and expanded disability status scale scores (EDSS) (r=0.393, p=0.026). This study demonstrated that combined voxel-based analysis for volumetry, FLAIR high-intensity lesions, and DTI could reveal widespread brain abnormalities in MS patients. Furthermore, DTI, especially MD, showed far more widespread brain degeneration than other MRI parameters, and was significantly correlated with both severity and disease duration.

      Keywords

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      References

        • Pirko I.
        • Lucchinetti C.F.
        • Sriram S.
        • Bakshi R.
        Gray matter involvement in multiple sclerosis.
        Neurology. 2007; 68: 634-642
        • Ciccarelli O.
        • Werring D.J.
        • Barker G.J.
        • Griffin C.M.
        • Wheeler-Kingshott C.A.
        • Miller D.H.
        • et al.
        A study of the mechanisms of normal-appearing white matter damage in multiple sclerosis using diffusion tensor imaging.
        J Neurol. 2003; 250: 287-292
        • Vrenken H.
        • Pouwels P.J.
        • Geurts J.J.
        • Knol D.L.
        • Polman C.H.
        • Barkhof F.
        • et al.
        Altered diffusion tensor in multiple sclerosis normal-appearing brain tissue: cortical diffusion changes seem related to clinical deterioration.
        J Magn Reson Imaging. 2006; 23: 628-636
        • Werring D.J.
        • Clark C.A.
        • Barker G.J.
        • Thompson A.J.
        • Miller D.H.
        Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis.
        Neurology. 1999; 52: 1626-1632
        • Chard D.T.
        • Griffin C.M.
        • Rashid W.
        • Davies G.R.
        • Altmann D.R.
        • Kapoor R.
        • et al.
        Progressive grey matter atrophy in clinically early relapsing–remitting multiple sclerosis.
        Mult Scler. 2004; 10: 387-391
        • Dalton C.M.
        • Chard D.T.
        • Davies G.R.
        • Miszkiel K.A.
        • Altmann D.R.
        • Fernando K.
        • et al.
        Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromes.
        Brain. 2004; 127: 1101-1107
        • Amato M.P.
        • Bartolozzi M.L.
        • Zipoli V.
        • Portaccio E.
        • Mortilla M.
        • Guidi L.
        • et al.
        Neocortical volume decrease in relapsing–remitting MS patients with mild cognitive impairment.
        Neurology. 2004; 63: 89-93
        • De Stefano N.
        • Matthews P.M.
        • Filippi M.
        • Agosta F.
        • De Luca M.
        • Bartolozzi M.L.
        • et al.
        Evidence of early cortical atrophy in MS: relevance to white matter changes and disability.
        Neurology. 2003; 60: 1157-1162
        • Sanfilipo M.P.
        • Benedict R.H.
        • Sharma J.
        • Weinstock-Guttman B.
        • Bakshi R.
        The relationship between whole brain volume and disability in multiple sclerosis: a comparison of normalized gray vs. white matter with misclassification correction.
        Neuroimage. 2005; 26: 1068-1077
        • Sanfilipo M.P.
        • Benedict R.H.
        • Sharma J.
        • Weinstock-Guttman B.
        • Bakshi R.
        Gray and white matter brain atrophy and neuropsychological impairment in multiple sclerosis.
        Neurology. 2006; 66: 685-692
        • Lublin F.D.
        • Reingold S.C.
        Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.
        Neurology. 1996; 46: 907-911
        • Sachdev P.
        • Wen W.
        • Chen X.
        • Brodaty H.
        Progression of white matter hyperintensities in elderly individuals over 3 years.
        Neurology. 2007; 68: 214-222
        • Murray M.E.
        • Senjem M.L.
        • Petersen R.C.
        • Hollman J.H.
        • Preboske G.M.
        • Weigand S.D.
        • et al.
        Functional impact of white matter hyperintensities in cognitively normal elderly subjects.
        Arch Neurol. 2010; 67: 1379-1385
        • McDonald W.I.
        • Compston A.
        • Edan G.
        • Goodkin D.
        • Hartung H.P.
        • Lublin F.D.
        • et al.
        Recommended diagnostic criteria for multiple sclerosis: guidelines from the international panel on the diagnosis of multiple sclerosis.
        Ann Neurol. 2010; 50: 121-127
        • Wingerchuk D.M.
        • Lennon V.A.
        • Pittock S.J.
        • Lucchinetti C.F.
        • Weinshenker B.G.
        Revised diagnostic criteria for neuromyelitis optica.
        Neurology. 2006; 66: 1485-1489
        • Jarius S.
        • Paul F.
        • Franciotta D.
        • Waters P.
        • Zipp F.
        • Hohlfeld R.
        • et al.
        Mechanisms of disease: aquaporin-4 antibodies in neuromyelitis optica.
        Nat Clin Pract Neurol. 2008; 4: 202-214
        • Folstein M.F.
        • Folstein S.E.
        • McHugh P.R.
        “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician.
        J Psychiatr Res. 1975; 12: 189-198
        • Kurtzke J.F.
        Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).
        Neurology. 1983; 33: 1442-1452
        • Sharrak B.
        • Hughes R.A.C.
        Clinical scales for multiple sclerosis.
        J Neurol Sci. 1996; 135: 1-9
        • Poline J.B.
        • Worsley K.J.
        • Holmes A.P.
        • Frackowiak R.S.
        • Friston K.J.
        Statistical parametric maps in functional imaging: a general linear approach.
        Hum Brain Mapp. 1995; 2: 189-210
        • Ashburner J.
        A fast diffeomorphic image registration algorithm.
        Neuroimage. 2007; 38: 95-113
        • Raz E.
        • Cercignani M.
        • Sbardella E.
        • Totaro P.
        • Pozzilli C.
        • Bozzali M.
        • et al.
        Gray- and white-matter changes 1 year after first clinical episode of multiple sclerosis: MR imaging.
        Radiology. 2010; 257: 448-454
        • Gelineau-Morel R.
        • Tomassini V.
        • Jenkinson M.
        • Johansen-Berg H.
        • Matthews P.M.
        • Palace J.
        The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis.
        Hum Brain Mapp. 2011; ([Epub ahead of print])
        • Ashburner J.
        • Friston K.J.
        Voxel-based morphometry — the methods.
        Neuroimage. 2000; 11: 805-821
        • Masutani Y.
        • Aoki S.
        • Abe O.
        • Hayashi N.
        • Otomo K.
        MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization.
        Eur J Radiol. 2003; 46: 53-66
        • Duda R.
        • Hart P.
        • Stork D.
        Pattern classification.
        second edition. Wiley Interscience, 2000
        • Mottershead J.P.
        • Schmierer K.
        • Clemence M.
        • Thornton J.S.
        • Scaravilli F.
        • Barker G.J.
        • et al.
        High field MRI correlates of myelin content and axonal density in multiple sclerosis — a post-mortem study of the spinal cord.
        J Neurol. 2003; 250: 1293-1301
        • van Walderveen M.A.
        • Kamphorst W.
        • Scheltens P.
        • van Waesberghe J.H.
        • Ravid R.
        • Valk J.
        • et al.
        Histopathologic correlate of hypointense lesions on T1-weighted spin-echo MRI in multiple sclerosis.
        Neurology. 1998; 50: 1282-1288
        • Schmierer K.
        • Wheeler-Kingshott C.A.
        • Boulby P.A.
        • Scaravilli F.
        • Altmann D.R.
        • Barker G.J.
        • et al.
        Diffusion tensor imaging of post mortem multiple sclerosis brain.
        Neuroimage. 2007; 35: 467-477
        • Gass A.
        • Niendorf T.
        • Hirsch J.G.
        Acute and chronic changes of the apparent diffusion coefficient in neurological disorders—biophysical mechanisms and possible underlying histopathology.
        J Neurol Sci. 2001; 186: S15-S23
        • Filippi M.
        • Iannucci G.
        • Cercignani M.
        • Assunta Rocca M.
        • Pratesi A.
        • Comi G.
        A quantitative study of water diffusion in multiple sclerosis lesions and normal-appearing white matter using echo-planar imaging.
        Arch Neurol. 2000; 57: 1017-1021
        • Ceccarelli A.
        • Rocca M.A.
        • Falini A.
        • Tortorella P.
        • Pagani E.
        • Rodegher M.
        • et al.
        Normal-appearing white and grey matter damage in MS. A volumetric and diffusion tensor MRI study at 3.0 Tesla.
        J Neurol. 2007; 254: 513-518
        • Lucchinetti C.
        Pathological heterogeneity of idiopathic central nervous system inflammatory demyelinating disorders.
        Curr Top Microbiol Immunol. 2008; 318: 19-43
        • Bö L.
        • Geurts J.J.
        • Mörk S.J.
        • van der Valk P.
        Grey matter pathology in multiple sclerosis.
        Acta Neurol Scand. 2006; 183 (Suppl.): 48-50
        • Geurts J.J.
        • Barkhof F.
        Grey matter pathology in multiple sclerosis.
        Lancet Neurol. 2008; 7: 841-851
        • Audoin B.
        • Zaaraoui W.
        • Reuter F.
        • Rico A.
        • Malikova I.
        • Confort-Gouny S.
        • et al.
        Atrophy mainly affects the limbic system and the deep grey matter at the first stage of multiple sclerosis.
        J Neurol Neurosurg Psychiatry. 2010; 81: 690-695
        • Sepulcre J.
        • Sestre-Garriga J.
        • Cercignani M.
        • Ingle G.T.
        • Miller D.H.
        • Thomspon A.J.
        Regional gray matter atrophy in early primary progressive multiple sclerosis: a voxel-based morphometry study.
        Arch Neurol. 2006; 63: 1175-1180
        • Wegner C.
        • Esiri M.M.
        • Chance S.A.
        • Palace J.
        • Matthews P.M.
        Neocortical neuronal, synaptic, and glial loss in multiple sclerosis.
        Neurology. 2006; 67: 960-967
        • Miller D.
        • Barkhof F.
        • Montalban X.
        • Thompson A.
        • Filippi M.
        Clinically isolated syndromes suggestive of multiple sclerosis, part I: natural history, pathogenesis, diagnosis, and prognosis.
        Lancet Neurol. 2005; 4: 281-288