Literature DB >> 33129894

Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging.

Siawoosh Mohammadi1, Martina F Callaghan2.   

Abstract

BACKGROUND: The g-ratio, quantifying the comparative thickness of the myelin sheath encasing an axon, is a geometrical invariant that has high functional relevance because of its importance in determining neuronal conduction velocity. Advances in MRI data acquisition and signal modelling have put in vivo mapping of the g-ratio, across the entire white matter, within our reach. This capacity would greatly increase our knowledge of the nervous system: how it functions, and how it is impacted by disease. NEW
METHOD: This is the second review on the topic of g-ratio mapping using MRI.
RESULTS: This review summarizes the most recent developments in the field, while also providing methodological background pertinent to aggregate g-ratio weighted mapping, and discussing pitfalls associated with these approaches. COMPARISON WITH EXISTING
METHODS: Using simulations based on recently published data, this review reveals caveats to the state-of-the-art calibration methods that have been used for in vivo g-ratio mapping. It highlights the need to estimate both the slope and offset of the relationship between these MRI-based markers and the true myelin volume fraction if we are really to achieve the goal of precise, high sensitivity g-ratio mapping in vivo. Other challenges discussed in this review further evidence the need for gold standard measurements of human brain tissue from ex vivo histology.
CONCLUSIONS: We conclude that the quest to find the most appropriate MRI biomarkers to enable in vivo g-ratio mapping is ongoing, with the full potential of many novel techniques yet to be investigated.
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biophysical modelling; Diffusion MRI; In-vivo histology using MRI; Magnetisation transfer imaging; Multi-parameter mapping; Myelin water imaging; Myelin, axon, and fiber volume fractions; g-ratio

Year:  2020        PMID: 33129894      PMCID: PMC7840525          DOI: 10.1016/j.jneumeth.2020.108990

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  140 in total

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Authors:  Tim B Dyrby; William F C Baaré; Daniel C Alexander; Jacob Jelsing; Ellen Garde; Lise V Søgaard
Journal:  Hum Brain Mapp       Date:  2011-04       Impact factor: 5.038

2.  Quantitative T1 and proton density mapping with direct calculation of radiofrequency coil transmit and receive profiles from two-point variable flip angle data.

Authors:  Simon Baudrexel; Sarah C Reitz; Stephanie Hof; René-Maxime Gracien; Vinzenz Fleischer; Hilga Zimmermann; Amgad Droby; Johannes C Klein; Ralf Deichmann
Journal:  NMR Biomed       Date:  2016-01-12       Impact factor: 4.044

3.  Fiber density estimation from single q-shell diffusion imaging by tensor divergence.

Authors:  Marco Reisert; Irina Mader; Roza Umarova; Simon Maier; Ludger Tebartz van Elst; Valerij G Kiselev
Journal:  Neuroimage       Date:  2013-03-26       Impact factor: 6.556

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times.

Authors:  Ting Gong; Qiqi Tong; Hongjian He; Yi Sun; Jianhui Zhong; Hui Zhang
Journal:  Neuroimage       Date:  2020-05-07       Impact factor: 6.556

6.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

7.  Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data.

Authors:  Sara Lorio; Tim M Tierney; Amy McDowell; Owen J Arthurs; Antoine Lutti; Nikolaus Weiskopf; David W Carmichael
Journal:  Neuroimage       Date:  2018-11-19       Impact factor: 6.556

Review 8.  Conventions and nomenclature for double diffusion encoding NMR and MRI.

Authors:  Noam Shemesh; Sune N Jespersen; Daniel C Alexander; Yoram Cohen; Ivana Drobnjak; Tim B Dyrby; Jurgen Finsterbusch; Martin A Koch; Tristan Kuder; Fredrik Laun; Marco Lawrenz; Henrik Lundell; Partha P Mitra; Markus Nilsson; Evren Özarslan; Daniel Topgaard; Carl-Fredrik Westin
Journal:  Magn Reson Med       Date:  2015-09-29       Impact factor: 4.668

9.  Microscopic anisotropy misestimation in spherical-mean single diffusion encoding MRI.

Authors:  Rafael Neto Henriques; Sune N Jespersen; Noam Shemesh
Journal:  Magn Reson Med       Date:  2019-01-16       Impact factor: 4.668

10.  Action potential propagation and synchronisation in myelinated axons.

Authors:  Helmut Schmidt; Thomas R Knösche
Journal:  PLoS Comput Biol       Date:  2019-10-17       Impact factor: 4.475

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  9 in total

1.  Cerebral aggregate g-ratio mapping using magnetic resonance relaxometry and diffusion tensor imaging to investigate sex and age-related differences in white matter microstructure.

Authors:  Luis E Cortina; Richard W Kim; Matthew Kiely; Curtis Triebswetter; Zhaoyuan Gong; Maryam H Alsameen; Mustapha Bouhrara
Journal:  Magn Reson Imaging       Date:  2021-10-19       Impact factor: 2.546

2.  Conduction velocity along a key white matter tract is associated with autobiographical memory recall ability.

Authors:  Ian A Clark; Siawoosh Mohammadi; Martina F Callaghan; Eleanor A Maguire
Journal:  Elife       Date:  2022-09-27       Impact factor: 8.713

3.  Effects of Olfactory Mucosa Stem/Stromal Cell and Olfactory Ensheating Cells Secretome on Peripheral Nerve Regeneration.

Authors:  Rui D Alvites; Mariana V Branquinho; Ana C Sousa; Bruna Lopes; Patrícia Sousa; Justina Prada; Isabel Pires; Giulia Ronchi; Stefania Raimondo; Ana L Luís; Stefano Geuna; Artur Severo P Varejão; Ana Colette Maurício
Journal:  Biomolecules       Date:  2022-06-11

Review 4.  Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.

Authors:  Elizabeth N York; Michael J Thrippleton; Rozanna Meijboom; David P J Hunt; Adam D Waldman
Journal:  Brain Commun       Date:  2022-04-04

5.  Common genetic variation influencing human white matter microstructure.

Authors:  Bingxin Zhao; Tengfei Li; Yue Yang; Xifeng Wang; Tianyou Luo; Yue Shan; Ziliang Zhu; Di Xiong; Mads E Hauberg; Jaroslav Bendl; John F Fullard; Panagiotis Roussos; Yun Li; Jason L Stein; Hongtu Zhu
Journal:  Science       Date:  2021-06-18       Impact factor: 63.714

6.  Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: Theory and simulations.

Authors:  Michiel Cottaar; Wenchuan Wu; Benjamin C Tendler; Zoltan Nagy; Karla Miller; Saad Jbabdi
Journal:  Magn Reson Med       Date:  2021-07-13       Impact factor: 3.737

7.  Permanent tissue damage in multiple sclerosis lesions is associated with reduced pre-lesion myelin and axon volume fractions.

Authors:  Ian J Tagge; Ilana R Leppert; Dumitru Fetco; Jennifer Sw Campbell; David A Rudko; Robert A Brown; Nikola Stikov; G Bruce Pike; Paul S Giacomini; Douglas L Arnold; Sridar Narayanan
Journal:  Mult Scler       Date:  2022-07-28       Impact factor: 5.855

8.  The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging.

Authors:  Tim M Emmenegger; Gergely David; Mohammad Ashtarayeh; Francisco J Fritz; Isabel Ellerbrock; Gunther Helms; Evelyne Balteau; Patrick Freund; Siawoosh Mohammadi
Journal:  Front Neurosci       Date:  2021-07-05       Impact factor: 4.677

9.  MRI-derived g-ratio and lesion severity in newly diagnosed multiple sclerosis.

Authors:  Elizabeth N York; Sarah-Jane Martin; Rozanna Meijboom; Michael J Thrippleton; Mark E Bastin; Edwin Carter; James Overell; Peter Connick; Siddharthan Chandran; Adam D Waldman; David P J Hunt
Journal:  Brain Commun       Date:  2021-11-03
  9 in total

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