Journal
HUMAN BRAIN MAPPING
Volume 42, Issue 7, Pages 2201-2213Publisher
WILEY
DOI: 10.1002/hbm.25359
Keywords
axon diameter; diffusion MRI; reproducibility; variability
Funding
- Bundesministerium fur Bildung und Forschung [01EW1711A B]
- Engineering and Physical Sciences Research Council (EPSRC) [EP/M029778/1]
- Eunice Kennedy Shriver National Institute of Child Health and Human Development [1F32HD103313-01]
- FP7 Ideas: European Research Council [616905]
- H2020 European Research Council [681094]
- National Institute of Biomedical Imaging and Bioengineering [P41 EB017183, R01 EB025133]
- National Institute of Neurological Disorders and Stroke [R01 NS088040]
- Wellcome Trust [096646/Z/11/Z, 104943/Z/14/Z]
- European Research Council (ERC) [616905] Funding Source: European Research Council (ERC)
- EPSRC [EP/M029778/1, EP/M00855X/1] Funding Source: UKRI
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This study introduces the noninvasive quantification of axonal morphology using diffusion-weighted MRI techniques, with a focus on the effective MR axon radius. It evaluates the repeatability and reproducibility of this method in the whole brain, aiming to further develop the effective MR axon radius as a neuroimaging biomarker.
The noninvasive quantification of axonal morphology is an exciting avenue for gaining understanding of the function and structure of the central nervous system. Accurate non-invasive mapping of micron-sized axon radii using commonly applied neuroimaging techniques, that is, diffusion-weighted MRI, has been bolstered by recent hardware developments, specifically MR gradient design. Here the whole brain characterization of the effective MR axon radius is presented and the inter- and intra-scanner test-retest repeatability and reproducibility are evaluated to promote the further development of the effective MR axon radius as a neuroimaging biomarker. A coefficient-of-variability of approximately 10% in the voxelwise estimation of the effective MR radius is observed in the test-retest analysis, but it is shown that the performance can be improved fourfold using a customized along-tract analysis.
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