Literature DB >> 27100385

Tract-specific and age-related variations of the spinal cord microstructure: a multi-parametric MRI study using diffusion tensor imaging (DTI) and inhomogeneous magnetization transfer (ihMT).

Manuel Taso1,2,3,4, Olivier M Girard1,2, Guillaume Duhamel1,2, Arnaud Le Troter1,2, Thorsten Feiweier5, Maxime Guye1,2, Jean-Philippe Ranjeva1,2,4, Virginie Callot1,2,4.   

Abstract

Being able to finely characterize the spinal cord (SC) microstructure and its alterations is a key point when investigating neural damage mechanisms encountered in different central nervous system (CNS) pathologies, such as multiple sclerosis, amyotrophic lateral sclerosis or myelopathy. Based on novel methods, including inhomogeneous magnetization transfer (ihMT) and dedicated SC probabilistic atlas post-processing, the present study focuses on the in vivo characterization of the healthy SC tissue in terms of regional microstructure differences between (i) upper and lower cervical vertebral levels and (ii) sensory and motor tracts, as well as differences attributed to normal aging. Forty-eight healthy volunteers aged from 20 to 70 years old were included in the study and scanned at 3 T using axial high-resolution T2 *-w imaging, diffusion tensor imaging (DTI) and ihMT, at two vertebral levels (C2 and C5). A processing pipeline with minimal user intervention, SC segmentation and spatial normalization into a reference space was implemented in order to assess quantitative morphological and structural parameters (cross-sectional areas, scalar DTI and MT/ihMT metrics) in specific white and gray matter regions of interest. The multi-parametric MRI metrics collected allowed upper and lower cervical levels to be distinguished, with higher ihMT ratio (ihMTR), higher axial diffusivity (λ∥ ) and lower radial diffusivity (λ⊥ ) at C2 compared with C5. Significant differences were also observed between white matter fascicles, with higher ihMTR and lower λ∥ in motor tracts compared with posterior sensory tracts. Finally, aging was found to be associated with significant metric alterations (decreased ihMTR and λ∥ ). The methodology proposed here, which can be easily transferred to the clinic, provides new insights for SC characterization. It bears great potential to study focal and diffuse SC damage in neurodegenerative and demyelinating diseases.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  aging; diffusion tensor imaging (DTI); inhomogeneous magnetization transfer (ihMT); microstructure; multi-parametric MRI; spinal cord

Mesh:

Year:  2016        PMID: 27100385     DOI: 10.1002/nbm.3530

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  19 in total

Review 1.  Modeling white matter microstructure.

Authors:  T Duval; N Stikov; J Cohen-Adad
Journal:  Funct Neurol       Date:  2016 Oct/Dec

2.  Three-dimensional inhomogeneous magnetization transfer with rapid gradient-echo (3D ihMTRAGE) imaging.

Authors:  Gopal Varma; Fanny Munsch; Brian Burns; Guillaume Duhamel; Olivier M Girard; Arnaud Guidon; R Marc Lebel; David C Alsop
Journal:  Magn Reson Med       Date:  2020-06-30       Impact factor: 4.668

3.  Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

4.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

5.  Quantification of DTI in the Pediatric Spinal Cord: Application to Clinical Evaluation in a Healthy Patient Population.

Authors:  B B Reynolds; S By; Q R Weinberg; A A Witt; A T Newton; H R Feiler; B Ramkorun; D B Clayton; P Couture; J E Martus; M Adams; J C Wellons; S A Smith; A Bhatia
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-13       Impact factor: 3.825

6.  g-Ratio weighted imaging of the human spinal cord in vivo.

Authors:  T Duval; S Le Vy; N Stikov; J Campbell; A Mezer; T Witzel; B Keil; V Smith; L L Wald; E Klawiter; J Cohen-Adad
Journal:  Neuroimage       Date:  2016-09-22       Impact factor: 6.556

7.  Sensitivity of the Inhomogeneous Magnetization Transfer Imaging Technique to Spinal Cord Damage in Multiple Sclerosis.

Authors:  H Rasoanandrianina; S Demortière; A Trabelsi; J P Ranjeva; O Girard; G Duhamel; M Guye; J Pelletier; B Audoin; V Callot
Journal:  AJNR Am J Neuroradiol       Date:  2020-05       Impact factor: 3.825

8.  Test-retest reliability of myelin imaging in the human spinal cord: Measurement errors versus region- and aging-induced variations.

Authors:  Simon Lévy; Marie-Claude Guertin; Ali Khatibi; Aviv Mezer; Kristina Martinu; Jen-I Chen; Nikola Stikov; Pierre Rainville; Julien Cohen-Adad
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

9.  A Histopathological Scheme for the Quantitative Scoring of Intervertebral Disc Degeneration and the Therapeutic Utility of Adult Mesenchymal Stem Cells for Intervertebral Disc Regeneration.

Authors:  Cindy C Shu; Margaret M Smith; Susan M Smith; Andrew J Dart; Christopher B Little; James Melrose
Journal:  Int J Mol Sci       Date:  2017-05-12       Impact factor: 5.923

10.  Quantitative Magnetization Transfer MRI Measurements of the Anterior Spinal Cord Region are Associated With Clinical Outcomes in Cervical Spondylotic Myelopathy.

Authors:  Michael Brendan Cloney; Zachary A Smith; Kenneth A Weber; Todd B Parrish
Journal:  Spine (Phila Pa 1976)       Date:  2018-05-15       Impact factor: 3.241

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