Literature DB >> 27440150

Quantitative MRI in hypomyelinating disorders: Correlation with motor handicap.

Marjan E Steenweg1, Nicole I Wolf1, Wessel N van Wieringen1, Frederik Barkhof1, Marjo S van der Knaap1, Petra J W Pouwels2.   

Abstract

OBJECTIVE: To assess the correlation of tissue parameters estimated by quantitative magnetic resonance (MR) techniques and motor handicap in patients with hypomyelination.
METHODS: Twenty-eight patients with different causes of hypomyelination (12 males, 16 females; mean age 10 years) and 61 controls (33 males, 28 females; mean age 8 years) were prospectively investigated. We quantified T2 relaxation time, magnetization transfer ratio, fractional anisotropy, mean, axial, and radial diffusivities, and brain metabolites. We performed measurements in the splenium, parietal deep white matter, and corticospinal tracts in the centrum semiovale. We further analyzed diffusion measures using tract-based spatial statistics. We estimated severity of motor handicap by the gross motor function classification system. We evaluated correlation of handicap with MR measures by linear regression analyses.
RESULTS: Fractional anisotropy, magnetization transfer ratio, choline, and N-acetylaspartate/creatine ratio were lower and diffusivities, T2 values, and inositol were higher in patients than in controls. Tract-based spatial statistics showed that these changes were widespread for fractional anisotropy (96% of the white matter skeleton), radial (93%) and mean (84%) diffusivity, and less so for axial diffusivity (20%). Correlation with handicap yielded radial diffusivity and N-acetylaspartate/creatine ratio as strongest independent explanatory variables.
CONCLUSIONS: Gross motor function classification system grades are in part explained by MR measures. They indicate that mainly lack of myelin and, to a lesser degree, loss of axonal integrity codetermine the degree of motor handicap in patients with hypomyelinating disorders. These MR measures can be used to evaluate strategies that are aimed at promotion of myelination.
© 2016 American Academy of Neurology.

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Year:  2016        PMID: 27440150     DOI: 10.1212/WNL.0000000000003000

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  4 in total

1.  Oculodentodigital Dysplasia: A Hypomyelinating Leukodystrophy with a Characteristic MRI Pattern of Brain Stem Involvement.

Authors:  I Harting; S Karch; U Moog; A Seitz; P J W Pouwels; N I Wolf
Journal:  AJNR Am J Neuroradiol       Date:  2019-05-02       Impact factor: 3.825

Review 2.  Hypomyelinating leukodystrophies - unravelling myelin biology.

Authors:  Nicole I Wolf; Charles Ffrench-Constant; Marjo S van der Knaap
Journal:  Nat Rev Neurol       Date:  2020-12-15       Impact factor: 42.937

3.  Quantitative chemical exchange saturation transfer imaging of nuclear overhauser effects in acute ischemic stroke.

Authors:  Yunus Msayib; George W J Harston; Kevin J Ray; James R Larkin; Brad A Sutherland; Fintan Sheerin; Nicholas P Blockley; Thomas W Okell; Peter Jezzard; Andrew Baldwin; Nicola R Sibson; James Kennedy; Michael A Chappell
Journal:  Magn Reson Med       Date:  2022-03-07       Impact factor: 3.737

4.  Diffusion tensor imaging in metachromatic leukodystrophy.

Authors:  Diane F van Rappard; Marsh Königs; Marjan E Steenweg; Jaap Jan Boelens; Jaap Oosterlaan; Marjo S van der Knaap; Nicole I Wolf; Petra J W Pouwels
Journal:  J Neurol       Date:  2018-01-30       Impact factor: 4.849

  4 in total

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