Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.

Axon injury/loss, demyelination and inflammation are the primary pathologies in multiple sclerosis lesions. Despite the prevailing notion that axon/neuron loss is the substrate of clinical progression of multiple sclerosis, the roles that these individual pathological processes play in multiple sclerosis progression remain to be defined. An imaging modality capable to effectively detect, differentiate and individually quantify axon injury/loss, demyelination and inflammation, would not only facilitate the understanding of the pathophysiology underlying multiple sclerosis progression, but also the assessment of treatments at the clinical trial and individual patient levels. In this report, the newly developed diffusion basis spectrum imaging was used to discriminate and quantify the underlying pathological components in multiple sclerosis white matter. Through the multiple-tensor modelling of diffusion weighted magnetic resonance imaging signals, diffusion basis spectrum imaging resolves inflammation-associated cellularity and vasogenic oedema in addition to accounting for partial volume effects resulting from cerebrospinal fluid contamination, and crossing fibres. Quantitative histological analysis of autopsied multiple sclerosis spinal cord specimens supported that diffusion basis spectrum imaging-determined cellularity, axon and myelin injury metrics closely correlated with those pathologies identified and quantified by conventional histological staining. We demonstrated in healthy control subjects that diffusion basis spectrum imaging rectified inaccurate assessments of diffusion properties of white matter tracts by diffusion tensor imaging in the presence of cerebrospinal fluid contamination and/or crossing fibres. In multiple sclerosis patients, we report that diffusion basis spectrum imaging quantitatively characterized the distinct pathologies underlying gadolinium-enhanced lesions, persistent black holes, non-enhanced lesions and non-black hole lesions, a task yet to be demonstrated by other neuroimaging approaches. Diffusion basis spectrum imaging-derived radial diffusivity (myelin integrity marker) and non-restricted isotropic diffusion fraction (oedema marker) correlated with magnetization transfer ratio, supporting previous reports that magnetization transfer ratio is sensitive not only to myelin integrity, but also to inflammation-associated oedema. Our results suggested that diffusion basis spectrum imaging-derived quantitative biomarkers are highly consistent with histology findings and hold promise to accurately characterize the heterogeneous white matter pathology in multiple sclerosis patients. Thus, diffusion basis spectrum imaging can potentially serve as a non-invasive outcome measure to assess treatment effects on the specific components of underlying pathology targeted by new multiple sclerosis therapies.

[1]  Yong Wang,et al.  Quantifying white matter tract diffusion parameters in the presence of increased extra-fiber cellularity and vasogenic edema , 2014, NeuroImage.

[2]  K. Trinkaus,et al.  Diffusion basis spectrum imaging detects and distinguishes coexisting subclinical inflammation, demyelination and axonal injury in experimental autoimmune encephalomyelitis mice , 2014, NMR in biomedicine.

[3]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[4]  Timothy D. Verstynen,et al.  Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy , 2013, PloS one.

[5]  P. Matthews,et al.  Longitudinal positron emission tomography imaging for monitoring myelin repair in the spinal cord , 2013, Annals of neurology.

[6]  H. Lassmann Pathology and disease mechanisms in different stages of multiple sclerosis , 2013, Journal of the Neurological Sciences.

[7]  Junqian Xu,et al.  Spinal cord tract diffusion tensor imaging reveals disability substrate in demyelinating disease , 2013, Neurology.

[8]  Marc Lartaud,et al.  Analyzing huge pathology images with open source software , 2013, Diagnostic Pathology.

[9]  Jerry L Prince,et al.  Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis , 2013, Multiple sclerosis.

[10]  Jerry L Prince,et al.  Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis , 2013, Neurology.

[11]  Alex L. MacKay,et al.  Rapid whole cerebrum myelin water imaging using a 3D GRASE sequence , 2012, NeuroImage.

[12]  Andrew L. Alexander,et al.  Quantitative MR imaging of two-pool magnetization transfer model parameters in myelin mutant shaking pup , 2012, NeuroImage.

[13]  Peter B Barker,et al.  Investigating Axonal Damage in Multiple Sclerosis by Diffusion Tensor Spectroscopy , 2012, The Journal of Neuroscience.

[14]  R. Maroy,et al.  Imaging Microglial/Macrophage Activation in Spinal Cords of Experimental Autoimmune Encephalomyelitis Rats by Positron Emission Tomography Using the Mitochondrial 18 kDa Translocator Protein Radioligand [18F]DPA-714 , 2012, The Journal of Neuroscience.

[15]  Ludwig Kappos,et al.  Spatiotemporal distribution of white matter lesions in relapsing–remitting and secondary progressive multiple sclerosis , 2012, Multiple sclerosis.

[16]  Douglas L. Rosene,et al.  The Geometric Structure of the Brain Fiber Pathways , 2012, Science.

[17]  Ming-Rong Zhang,et al.  [11C]DAC-PET for Noninvasively Monitoring Neuroinflammation and Immunosuppressive Therapy Efficacy in Rat Experimental Autoimmune Encephalomyelitis Model , 2012, Journal of Neuroimmune Pharmacology.

[18]  K. Trinkaus,et al.  Quantification of increased cellularity during inflammatory demyelination. , 2011, Brain : a journal of neurology.

[19]  J. Gore,et al.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery , 2011, Magnetic resonance in medicine.

[20]  Hsiao-Wen Chung,et al.  Diffusion tensor imaging with cerebrospinal fluid suppression and signal-to-noise preservation using acquisition combining fluid-attenuated inversion recovery and conventional imaging: comparison of fiber tracking. , 2011, European journal of radiology.

[21]  A. MacKay,et al.  Is the magnetization transfer ratio a marker for myelin in multiple sclerosis? , 2011, Journal of magnetic resonance imaging : JMRI.

[22]  Junqing Zhu,et al.  Longitudinal Near-Infrared Imaging of Myelination , 2011, The Journal of Neuroscience.

[23]  Chun Yuan,et al.  Fast bound pool fraction imaging of the in vivo rat brain: Association with myelin content and validation in the C6 glioma model , 2011, NeuroImage.

[24]  Brian A. Wandell,et al.  Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure , 2011, NeuroImage.

[25]  B. Tavitian,et al.  In vivo imaging of neuroinflammation in the rodent brain with [11C]SSR180575, a novel indoleacetamide radioligand of the translocator protein (18 kDa) , 2011, European Journal of Nuclear Medicine and Molecular Imaging.

[26]  Dong-Hyun Kim,et al.  In vivo multi-slice mapping of myelin water content using T 2 * decay , 2010, NeuroImage.

[27]  Daniela Prayer,et al.  Reduced NAA-Levels in the NAWM of Patients with MS Is a Feature of Progression. A Study with Quantitative Magnetic Resonance Spectroscopy at 3 Tesla , 2010, PloS one.

[28]  Mingqiang Xie,et al.  Rostrocaudal Analysis of Corpus Callosum Demyelination and Axon Damage Across Disease Stages Refines Diffusion Tensor Imaging Correlations With Pathological Features , 2010, Journal of neuropathology and experimental neurology.

[29]  D. Holtzman,et al.  In vivo MRI analysis of an inflammatory injury in the developing brain , 2010, Brain, Behavior, and Immunity.

[30]  K. Trinkaus,et al.  Radial diffusivity in remote optic neuritis discriminates visual outcomes , 2010, Neurology.

[31]  Steen Moeller,et al.  Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.

[32]  Fang-Cheng Yeh,et al.  Generalized ${ q}$-Sampling Imaging , 2010, IEEE Transactions on Medical Imaging.

[33]  Robert H Miller,et al.  In Vivo Quantification of Myelin Changes in the Vertebrate Nervous System , 2009, The Journal of Neuroscience.

[34]  Peter K. Stys,et al.  Gray matter pathology in (chronic) MS: Modern views on an early observation , 2009, Journal of the Neurological Sciences.

[35]  A. Thompson,et al.  Magnetization transfer ratio abnormalities reflect clinically relevant grey matter damage in multiple sclerosis , 2009, Multiple sclerosis.

[36]  C. Wheeler-Kingshott,et al.  About “axial” and “radial” diffusivities , 2009, Magnetic resonance in medicine.

[37]  Joseph Ross Mitchell,et al.  Multiexponential T2 and magnetization transfer MRI of demyelination and remyelination in murine spinal cord , 2009, NeuroImage.

[38]  Sheng-Kwei Song,et al.  Axial Diffusivity Is the Primary Correlate of Axonal Injury in the Experimental Autoimmune Encephalomyelitis Spinal Cord: A Quantitative Pixelwise Analysis , 2009, The Journal of Neuroscience.

[39]  Annelaure Damont,et al.  Comparative Evaluation of the Translocator Protein Radioligands 11C-DPA-713, 18F-DPA-714, and 11C-PK11195 in a Rat Model of Acute Neuroinflammation , 2009, Journal of Nuclear Medicine.

[40]  Bradley P. Sutton,et al.  High resolution reduced-FOV Diffusion Tensor Imaging of the human pons with multi-shot variable density spiral at 3T , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[41]  Jeremy D. Schmahmann,et al.  Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers , 2008, NeuroImage.

[42]  Li-Wei Kuo,et al.  Optimization of diffusion spectrum imaging and q-ball imaging on clinical MRI system , 2008, NeuroImage.

[43]  Piotr Kozlowski,et al.  Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology , 2008, NeuroImage.

[44]  Frederik Barkhof,et al.  Pluriformity of inflammation in multiple sclerosis shown by ultra-small iron oxide particle enhancement. , 2008, Brain : a journal of neurology.

[45]  Yiping P. Du,et al.  Fast multislice mapping of the myelin water fraction using multicompartment analysis of T  2* decay at 3T: A preliminary postmortem study , 2007, Magnetic resonance in medicine.

[46]  R. E. Schmidt,et al.  Noninvasive diffusion tensor imaging of evolving white matter pathology in a mouse model of acute spinal cord injury , 2007, Magnetic resonance in medicine.

[47]  David H. Miller,et al.  Quantitative magnetization transfer imaging in postmortem multiple sclerosis brain , 2007, Journal of magnetic resonance imaging : JMRI.

[48]  Gareth J. Barker,et al.  Diffusion tensor imaging of post mortem multiple sclerosis brain , 2007, NeuroImage.

[49]  Shu-Wei Sun,et al.  Differential sensitivity of in vivo and ex vivo diffusion tensor imaging to evolving optic nerve injury in mice with retinal ischemia , 2006, NeuroImage.

[50]  D. Nutt,et al.  Translocator protein (18kDa): new nomenclature for the peripheral-type benzodiazepine receptor based on its structure and molecular function. , 2006, Trends in pharmacological sciences.

[51]  Hsiao-Fang Liang,et al.  Detecting axon damage in spinal cord from a mouse model of multiple sclerosis , 2006, Neurobiology of Disease.

[52]  Hsiao-Fang Liang,et al.  Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum , 2006, Magnetic resonance in medicine.

[53]  P. Hagmann,et al.  Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging , 2005, Magnetic resonance in medicine.

[54]  Jun Yoshino,et al.  Demyelination increases radial diffusivity in corpus callosum of mouse brain , 2005, NeuroImage.

[55]  D. Tuch Q‐ball imaging , 2004, Magnetic resonance in medicine.

[56]  Massimo Filippi,et al.  Magnetization transfer magnetic resonance imaging in the assessment of neurological diseases. , 2004, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[57]  David H. Miller,et al.  Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain , 2004, Annals of neurology.

[58]  Rajiv Midha,et al.  MR properties of excised neural tissue following experimentally induced inflammation , 2004, Magnetic resonance in medicine.

[59]  G J Barker,et al.  Stereotactic co‐registration of magnetic resonance imaging and histopathology in post‐mortem multiple sclerosis brain , 2003, Neuropathology and applied neurobiology.

[60]  Shu-Wei Sun,et al.  Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia , 2003, NeuroImage.

[61]  R. Ordidge,et al.  High field MRI correlates of myelin content and axonal density in multiple sclerosis , 2003, Journal of Neurology.

[62]  F. Barkhof,et al.  The effect of interferon β-1b on quantities derived from MT MRI in secondary progressive MS , 2003, Neurology.

[63]  John Russell,et al.  Dysmyelination Revealed through MRI as Increased Radial (but Unchanged Axial) Diffusion of Water , 2002, NeuroImage.

[64]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[65]  L. Shargel,et al.  Handbook of Multiple Sclerosis , 2002 .

[66]  R. Fujinami,et al.  Inside-Out versus Outside-In models for virus induced demyelination: axonal damage triggering demyelination , 2002, Springer Seminars in Immunopathology.

[67]  F. Barkhof,et al.  Hypointense lesions on T1-weighted spin-echo magnetic resonance imaging: relation to clinical characteristics in subgroups of patients with multiple sclerosis. , 2001, Archives of neurology.

[68]  F. Barkhof,et al.  Hypointense Lesions on T 1-Weighted Spin-Echo Magnetic Resonance Imaging Relation to Clinical Characteristics in Subgroups of Patients With Multiple Sclerosis , 2001 .

[69]  R B Banati,et al.  The peripheral benzodiazepine binding site in the brain in multiple sclerosis: quantitative in vivo imaging of microglia as a measure of disease activity. , 2000, Brain : a journal of neurology.

[70]  J K Udupa,et al.  Multiple sclerosis: magnetization transfer histogram analysis of segmented normal-appearing white matter. , 2000, Radiology.

[71]  M. Palkovits,et al.  Axonal changes in chronic demyelinated cervical spinal cord plaques. , 2000, Brain : a journal of neurology.

[72]  F. Barkhof,et al.  Axonal loss in multiple sclerosis lesions: Magnetic resonance imaging insights into substrates of disability , 1999, Annals of neurology.

[73]  P M Matthews,et al.  In vivo evidence for axonal dysfunction remote from focal cerebral demyelination of the type seen in multiple sclerosis. , 1999, Brain : a journal of neurology.

[74]  P M Matthews,et al.  Spatial mapping of T2 and gadolinium-enhancing T1 lesion volumes in multiple sclerosis: evidence for distinct mechanisms of lesion genesis? , 1999, Brain : a journal of neurology.

[75]  Ludwig Kappos,et al.  Predictive value of gadolinium-enhanced magnetic resonance imaging for relapse rate and changes in disability or impairment in multiple sclerosis: a meta-analysis , 1999, The Lancet.

[76]  F. Barkhof,et al.  Histopathologic correlate of hypointense lesions on T1-weighted spin-echo MRI in multiple sclerosis , 1998, Neurology.

[77]  R E Lenkinski,et al.  Proton MR spectroscopy and magnetization transfer ratio in multiple sclerosis: correlative findings of active versus irreversible plaque disease. , 1996, AJNR. American journal of neuroradiology.

[78]  P. Matthews,et al.  Reversible decreases in N‐acetylaspartate after acute brain injury , 1995, Magnetic resonance in medicine.

[79]  A Benazzouz,et al.  Lysolecithin-induced demyelination in primates: preliminary in vivo study with MR and magnetization transfer. , 1995, AJNR. American journal of neuroradiology.

[80]  R M Henkelman,et al.  Relaxivity and magnetization transfer of white matter lipids at MR imaging: importance of cerebrosides and pH. , 1994, Radiology.

[81]  W. Mcdonald RACHELLE FISHMAN-MATTHEW MOORE LECTURE: The Pathological and Clinical Dynamics of Multiple Sclerosis , 1994, Journal of neuropathology and experimental neurology.

[82]  G. Barker,et al.  Correlation of magnetization transfer ration with clinical disability in multiple sclerosis , 1994, Annals of neurology.

[83]  A. MacKay,et al.  In vivo visualization of myelin water in brain by magnetic resonance , 1994, Magnetic resonance in medicine.

[84]  J. Taubenberger,et al.  Correlation between magnetic resonance imaging findings and lesion development in chronic, active multiple sclerosis , 1993, Annals of neurology.

[85]  W. Mcdonald,et al.  The pathological evolution of multiple sclerosis , 1992, Neuropathology and applied neurobiology.

[86]  P M Matthews,et al.  Proton magnetic resonance spectroscopy for metabolic characterization of plaques in multiple sclerosis , 1991, Neurology.

[87]  H I Goldberg,et al.  Multiple sclerosis: serial study of gadolinium-enhanced MR imaging. , 1988, Radiology.