A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis

The purpose of this study is to define the topographical distribution of gray matter (GM) and white matter (WM) damage in patients with primary progressive multiple sclerosis (PPMS), using a multiparametric MR‐based approach. Using a 3 Tesla scanner, dual‐echo, 3D fast‐field echo (FFE), and diffusion tensor (DT) MRI scans were acquired from 18 PPMS patients and 17 matched healthy volunteers. An optimized voxel‐based (VB) analysis was used to investigate the patterns of regional GM density changes and to quantify GM and WM diffusivity alterations of the entire brain. In PPMS patients, GM atrophy was found in the thalami and the right insula, while mean diffusivity (MD) changes involved several cortical‐subcortical structures in all cerebral lobes and the cerebellum. An overlap between decreased WM fractional anisotropy (FA) and increased WM MD was found in the corpus callosum, the cingulate gyrus, the left short temporal fibers, the right short frontal fibers, the optic radiations, and the middle cerebellar peduncles. Selective MD increase, not associated with FA decrease, was found in the internal capsules, the corticospinal tracts, the superior longitudinal fasciculi, the fronto‐occipital fasciculi, and the right cerebral peduncle. A discrepancy was found between regional WM diffusivity changes and focal lesions because several areas had DT MRI abnormalities but did not harbor T2‐visible lesions. Our study allowed to detect tissue damage in brain areas associated with motor and cognitive functions, which are known to be impaired in PPMS patients. Combining regional measures derived from different MR modalities may be a valuable tool to improve our understanding of PPMS pathophysiology. Hum Brain Mapp 2009. © 2009 Wiley‐Liss, Inc.

[1]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[2]  M. Filippi,et al.  Primary Progressive Multiple Sclerosis , 2002, Topics in Neuroscience.

[3]  P. Matthews,et al.  Thalamic neurodegeneration in multiple sclerosis , 2002, Annals of neurology.

[4]  Massimo Filippi,et al.  MR Spectroscopy in Multiple Sclerosis , 2007, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[5]  A. J. Thompson,et al.  Localized grey matter damage in early primary progressive multiple sclerosis contributes to disability , 2007, NeuroImage.

[6]  A. Thompson,et al.  A longitudinal study of cognition in primary progressive multiple sclerosis. , 2005, Brain : a journal of neurology.

[7]  高橋 満,et al.  Magnetization Transfer を用いた骨軟部腫瘍領域の評価 , 1997 .

[8]  Marco Rovaris,et al.  Imaging primary progressive multiple sclerosis: the contribution of structural, metabolic, and functional MRI techniques , 2004, Multiple sclerosis.

[9]  J. Kurtzke Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[10]  Jerry L Prince,et al.  Effects of signal‐to‐noise ratio on the accuracy and reproducibility of diffusion tensor imaging–derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T , 2007, Journal of magnetic resonance imaging : JMRI.

[11]  Marco Rovaris,et al.  Large-scale, multicentre, quantitative MRI study of brain and cord damage in primary progressive multiple sclerosis , 2008, Multiple sclerosis.

[12]  A. Thompson,et al.  Magnetic resonance imaging in primary progressive multiple sclerosis. , 2002, Journal of rehabilitation research and development.

[13]  M. Absinta,et al.  Evidence of thalamic gray matter loss in pediatric multiple sclerosis , 2008, Neurology.

[14]  Marco Rovaris,et al.  Occult tissue damage in patients with primary progressive multiple sclerosis is independent of T2-visible lesions , 2003, Journal of Neurology.

[15]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[16]  Pablo Villoslada,et al.  Mapping the brain pathways of declarative verbal memory: Evidence from white matter lesions in the living human brain , 2008, NeuroImage.

[17]  S. Reingold,et al.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria” , 2005, Annals of neurology.

[18]  Alan J. Thompson,et al.  Localization of grey matter atrophy in early RRMS , 2006, Journal of Neurology.

[19]  Massimo Filippi,et al.  Normal-appearing white and grey matter damage in MS , 2007, Journal of Neurology.

[20]  Marco Rovaris,et al.  Short-term accrual of gray matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRI , 2005, NeuroImage.

[21]  Hans Lassmann,et al.  Cortical demyelination and diffuse white matter injury in multiple sclerosis. , 2005, Brain : a journal of neurology.

[22]  A J Thompson,et al.  Diagnostic criteria for primary progressive multiple sclerosis: A position paper , 2000, Annals of neurology.

[23]  Rohit Bakshi,et al.  Thalamic Involvement in Multiple Sclerosis: A Diffusion‐Weighted Magnetic Resonance Imaging Study , 2003, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[24]  C. Mainero,et al.  Correlates of MS disability assessed in vivo using aggregates of MR quantities , 2001, Neurology.

[25]  X. Montalban,et al.  Responsiveness and predictive value of EDSS and MSFC in primary progressive MS , 2008, Neurology.

[26]  Massimo Filippi,et al.  A voxel-based morphometry study of grey matter loss in MS patients with different clinical phenotypes , 2008, NeuroImage.

[27]  R I Grossman,et al.  Three-dimensional proton spectroscopy of deep gray matter nuclei in relapsing–remitting MS , 2004, Neurology.

[28]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[29]  G. Comi,et al.  Magnetization transfer imaging to monitor the evolution of MS , 2000, Neurology.

[30]  Maria Assunta Rocca,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 , 2005, NeuroImage.

[31]  Hans Lassmann,et al.  The Immunopathology of Multiple Sclerosis: An Overview , 2007, Brain pathology.

[32]  M. Rovaris,et al.  Magnetization transfer MRI metrics predict the accumulation of disability 8 years later in patients with multiple sclerosis. , 2006, Brain : a journal of neurology.

[33]  M Rovaris,et al.  Correlation of multiple sclerosis measures derived from T2-weighted, T1-weighted, magnetization transfer, and diffusion tensor MR imaging. , 2001, AJNR. American journal of neuroradiology.

[34]  Giuseppe Scotti,et al.  The topographical distribution of tissue injury in benign MS: A 3T multiparametric MRI study , 2008, NeuroImage.

[35]  B. Brownell,et al.  The distribution of plaques in the cerebrum in multiple sclerosis , 1962, Journal of neurology, neurosurgery, and psychiatry.

[36]  G. Comi,et al.  Quantification of cervical cord pathology in primary progressive MS using diffusion tensor MRI , 2005, Neurology.

[37]  D. Caplan,et al.  Cognition, emotion and the cerebellum. , 2006, Brain : a journal of neurology.

[38]  Marco Rovaris,et al.  Assessment of normal-appearing white and gray matter in patients with primary progressive multiple sclerosis: a diffusion-tensor magnetic resonance imaging study. , 2002, Archives of neurology.

[39]  B E Kendall,et al.  The role of NMR imaging in the assessment of multiple sclerosis and isolated neurological lesions. A quantitative study. , 1987, Brain : a journal of neurology.

[40]  P. Matthews,et al.  Normalized Accurate Measurement of Longitudinal Brain Change , 2001, Journal of computer assisted tomography.

[41]  Mara Cercignani,et al.  Regional gray matter atrophy in early primary progressive multiple sclerosis: a voxel-based morphometry study. , 2006, Archives of neurology.

[42]  M. Filippi,et al.  In vivo assessment of cervical cord damage in MS patients: a longitudinal diffusion tensor MRI study. , 2007, Brain : a journal of neurology.

[43]  M. Rovaris,et al.  Axonal injury and overall tissue loss are not related in primary progressive multiple sclerosis. , 2005, Archives of neurology.

[44]  Hans Forssberg,et al.  Brain Regions Controlling Nonsynergistic versus Synergistic Movement of the Digits: a Functional Magnetic Resonance Imaging Study , 2002, The Journal of Neuroscience.

[45]  F. Fazio,et al.  Functional Basis of Memory Impairment in Multiple Sclerosis: A [18F]FDG PET Study , 1996, NeuroImage.

[46]  G. Comi,et al.  In vivo assessment of the brain and cervical cord pathology of patients with primary progressive multiple sclerosis. , 2001, Brain : a journal of neurology.

[47]  Massimo Filippi,et al.  High-Field-Strength MRI (3.0 T or More) in White Matter Diseases , 2006 .

[48]  D. Galanaud,et al.  Multimodal magnetic resonance imaging of the central nervous system. , 2003, Biochimie.

[49]  P. Jezzard,et al.  Thalamic neurodegeneration in relapsing-remitting multiple sclerosis , 2003, Neurology.

[50]  Glyn Johnson,et al.  Deep gray matter perfusion in multiple sclerosis: dynamic susceptibility contrast perfusion magnetic resonance imaging at 3 T. , 2007, Archives of neurology.