Literature DB >> 34678436

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

Luis E Cortina1, Richard W Kim1, Matthew Kiely1, Curtis Triebswetter1, Zhaoyuan Gong1, Maryam H Alsameen1, Mustapha Bouhrara2.   

Abstract

Axonal demyelination is a cardinal feature of aging and age-related diseases. The g-ratio, mathematically defined as the inner-to-outer diameter of a myelinated axon, is used as a structural index of optimal axonal myelination and has been shown to represent a sensitive imaging biomarker of microstructural integrity. Several magnetic resonance imaging (MRI) methods for whole-brain mapping of aggregate g-ratio have been introduced. Computation of the aggerate g-ratio requires estimates of the myelin volume fraction (MVF) and the axonal volume fraction (AVF). While accurate determinations of MVF and AVF can be obtained through multicomponent relaxometry or diffusion analyses, respectively, these methods require lengthy acquisition times making their implementation challenging in a clinical context. Therefore, any attempt to overcome this drawback is needed. Expanding on our previous work, we introduced a new MRI method for whole-brain mapping of aggregate g-ratio. This new approach is based on the use of a single-shell diffusion for AVF determination, reducing the acquisition time by approximately ~10 min from our recently introduced approach, while offering the possibility to investigate g-ratio differences in previous studies with existing data for MVF mapping and single-shell diffusion data for AVF mapping. Our comparison analysis indicates that our newly derived aggregate g-ratio values were similar to those derived from our previous method, which requires a longer acquisition time. Further, in agreement with our previous observations, we found quadratic U-shaped relationships between aggregate g-ratio and age in this much larger study cohort. However, our results show that sexual dimorphism in g-ratio was not significant in any brain region investigated. Published by Elsevier Inc.

Entities:  

Keywords:  Aging; DTI; G-ratio; MRI

Mesh:

Year:  2021        PMID: 34678436      PMCID: PMC8629921          DOI: 10.1016/j.mri.2021.10.019

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  46 in total

1.  Neuropathologic studies of the Baltimore Longitudinal Study of Aging (BLSA).

Authors:  Richard J O'Brien; Susan M Resnick; Alan B Zonderman; Luigi Ferrucci; Barbara J Crain; Olga Pletnikova; Gay Rudow; Diego Iacono; Miguel A Riudavets; Ira Driscoll; Donald L Price; Lee J Martin; Juan C Troncoso
Journal:  J Alzheimers Dis       Date:  2009       Impact factor: 4.472

2.  Imaging of the active B1 field in vivo.

Authors:  R Stollberger; P Wach
Journal:  Magn Reson Med       Date:  1996-02       Impact factor: 4.668

3.  Relationship between aging and T1 relaxation time in deep gray matter: A voxel-based analysis.

Authors:  Gosuke Okubo; Tomohisa Okada; Akira Yamamoto; Yasutaka Fushimi; Tsutomu Okada; Katsutoshi Murata; Kaori Togashi
Journal:  J Magn Reson Imaging       Date:  2017-02-02       Impact factor: 4.813

4.  Imaging G-Ratio in Multiple Sclerosis Using High-Gradient Diffusion MRI and Macromolecular Tissue Volume.

Authors:  F Yu; Q Fan; Q Tian; C Ngamsombat; N Machado; J D Bireley; A W Russo; A Nummenmaa; T Witzel; L L Wald; E C Klawiter; S Y Huang
Journal:  AJNR Am J Neuroradiol       Date:  2019-11-06       Impact factor: 3.825

Review 5.  Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI).

Authors:  Woojin Jung; Jingu Lee; Hyeong-Geol Shin; Yoonho Nam; Hui Zhang; Se-Hong Oh; Jongho Lee
Journal:  Neuroimage       Date:  2017-09-27       Impact factor: 6.556

6.  Evidence of demyelination in mild cognitive impairment and dementia using a direct and specific magnetic resonance imaging measure of myelin content.

Authors:  Mustapha Bouhrara; David A Reiter; Christopher M Bergeron; Linda M Zukley; Luigi Ferrucci; Susan M Resnick; Richard G Spencer
Journal:  Alzheimers Dement       Date:  2018-04-19       Impact factor: 21.566

7.  Testing the white matter retrogenesis hypothesis of cognitive aging.

Authors:  Adam M Brickman; Irene B Meier; Mayuresh S Korgaonkar; Frank A Provenzano; Stuart M Grieve; Karen L Siedlecki; Ben T Wasserman; Leanne M Williams; Molly E Zimmerman
Journal:  Neurobiol Aging       Date:  2011-07-23       Impact factor: 4.673

8.  Adult age differences in subcortical myelin content are consistent with protracted myelination and unrelated to diffusion tensor imaging indices.

Authors:  Muzamil Arshad; Jeffrey A Stanley; Naftali Raz
Journal:  Neuroimage       Date:  2016-08-22       Impact factor: 6.556

9.  Lifespan trajectory of myelin integrity and maximum motor speed.

Authors:  George Bartzokis; Po H Lu; Kathleen Tingus; Mario F Mendez; Aurore Richard; Douglas G Peters; Bolanle Oluwadara; Katherine A Barrall; J Paul Finn; Pablo Villablanca; Paul M Thompson; Jim Mintz
Journal:  Neurobiol Aging       Date:  2008-10-15       Impact factor: 4.673

10.  Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging.

Authors:  Thomas D Parker; Catherine F Slattery; Jiaying Zhang; Jennifer M Nicholas; Ross W Paterson; Alexander J M Foulkes; Ian B Malone; David L Thomas; Marc Modat; David M Cash; Sebastian J Crutch; Daniel C Alexander; Sebastien Ourselin; Nick C Fox; Hui Zhang; Jonathan M Schott
Journal:  Hum Brain Mapp       Date:  2018-03-25       Impact factor: 5.038

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