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. 2010 May;2(2):83-90.
doi: 10.1007/s12551-010-0031-6. Epub 2010 Apr 2.

Advanced magnetic resonance imaging techniques to better understand multiple sclerosis

Wafaa Zaaraoui  1 , Bertrand Audoin  2   3 , Jean Pelletier  2   3 , Patrick J Cozzone  2 , Jean-Philippe Ranjeva  2
Affiliations

Advanced magnetic resonance imaging techniques to better understand multiple sclerosis

Wafaa Zaaraoui et al. Biophys Rev. 2010 May.

Abstract

Magnetic resonance imaging (MRI) has considerably improved the diagnosis and monitoring of multiple sclerosis (MS). Conventional MRI such as T2-weighted and gadolinium-enhanced T1-weighted sequences detect focal lesions of the white matter, damage of the blood-brain barrier, and tissue loss and inflammatory activity within lesions. However, these conventional MRI metrics lack the specificity required for characterizing the underlying pathophysiology, especially diffuse damage occurring throughout the whole central nervous system. To overcome these limitations, advanced MRI techniques have been developed to get more sensitive and specific parameters of focal and diffuse brain damage. Among these techniques, magnetization transfer imaging, diffusion MRI, functional MRI, and magnetic resonance spectroscopy are the most significant. In this article, we provide an overview of these advanced MRI techniques and their contribution to the better characterization and understanding of MS.

Keywords: Diffusion MRI; Functional MRI; MR spectroscopy; MRI; Magnetization transfer imaging; Multiple sclerosis.

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Figures

Fig. 1
Fig. 1
Conventional T2-weighted (a) and T1-weighted post-gadolinium (b) images from a patient with early MS. Arrow indicates an acute inflammatory demyelinating lesion
Fig. 2
Fig. 2
MTR map from a patient with early MS. Note that the MS lesion (arrow) presents a very low signal demonstrating a low MTR value
Fig. 3
Fig. 3
Diffusion imaging including ADC map (a), FA map (b), and diffusion tensor tracking image (c) from a patient with early MS. Note that the MS lesion (arrow) presents abnormal diffusion contrasts compared to normal appearing tissue
Fig. 4
Fig. 4
Functional imaging from a relapsing-remitting MS patient showing activations of primary and supplementary motor areas and sensoricortex during a hand motor task
Fig. 5
Fig. 5
Spectra representing the metabolic patterns in a focal inflammatory demyelinating lesion (a) and in a focal demyelinating lesion without inflammation (b)
Fig. 6
Fig. 6
Susceptibility-weighted image acquired at 3T on a patient with early MS. Note the significant change of contrast in the MS lesion (arrow)
See this image and copyright information in PMC

References

    1. Agosta F, Rovaris M, Pagani E, Sormani MP, Comi G, Filippi M. Magnetization transfer MRI metrics predict the accumulation of disability 8 years later in patients with multiple sclerosis. Brain. 2006;129(Pt 10):2620–2627. doi: 10.1093/brain/awl208. - DOI - PubMed
    1. Arnold DL, De Stefano N, Narayanan S, Matthews PM. Proton MR spectroscopy in multiple sclerosis. Neuroimaging Clin N Am. 2000;10(4):789–798. - PubMed
    1. Audoin B, Ibarrola D, Ranjeva JP, Confort-Gouny S, Malikova I, Ali-Cherif A, Pelletier J, Cozzone P. Compensatory cortical activation observed by fMRI during a cognitive task at the earliest stage of MS. Hum Brain Mapp. 2003;20(2):51–58. doi: 10.1002/hbm.10128. - DOI - PMC - PubMed
    1. Audoin B, Davies G, Rashid W, Fisniku L, Thompson AJ, Miller DH. Voxel-based analysis of grey matter magnetization transfer ratio maps in early relapsing remitting multiple sclerosis. Mult Scler. 2007;13(4):483–489. - PubMed
    1. Audoin B, Guye M, Reuter F, Au Duong MV, Confort-Gouny S, Malikova I, Soulier E, Viout P, Cherif AA, Cozzone PJ, Pelletier J, Ranjeva JP. Structure of WM bundles constituting the working memory system in early multiple sclerosis: a quantitative DTI tractography study. Neuroimage. 2007;36(4):1324–1330. doi: 10.1016/j.neuroimage.2007.04.038. - DOI - PubMed

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