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  The variability of MR axon radii estimates in the human white matter

Veraart, J., Raven, E. P., Edwards, L., Weiskopf, N., & Jones, D. K. (2021). The variability of MR axon radii estimates in the human white matter. Human Brain Mapping, 42(7), 2201-2213. doi:10.1002/hbm.25359.

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 Creators:
Veraart, Jelle1, Author
Raven, Erika P.1, 2, Author
Edwards, Luke3, Author              
Weiskopf, Nikolaus3, 4, Author              
Jones, Derek K.2, 5, Author
Affiliations:
1Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, NY, USA, ou_persistent22              
2School of Psychology, Cardiff University, United Kingdom, ou_persistent22              
3Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
4Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              
5Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia, ou_persistent22              

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Free keywords: Axon diameter; Diffusion MRI; Reproducibility; Variability
 Abstract: 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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Language(s): eng - English
 Dates: 2021-01-072020-09-162021-01-212021-02-122021-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/hbm.25359
Other: epub 2021
PMID: 33576105
 Degree: -

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Project name : -
Grant ID : 096646/Z/11/Z, 104943/Z/14/Z
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Funding organization : Wellcome Trust
Project name : -
Grant ID : R01 NS088040
Funding program : -
Funding organization : National Institute of Neurological Disorders and Stroke
Project name : -
Grant ID : P41 EB017183, R01 EB025133
Funding program : -
Funding organization : National Institute of Biomedical Imaging and Bioengineering
Project name : -
Grant ID : 681094
Funding program : -
Funding organization : H2020 European Research Council
Project name : -
Grant ID : 616905
Funding program : -
Funding organization : FP7 Ideas: European Research Council
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Grant ID : 1F32HD103313‐01
Funding program : -
Funding organization : Eunice Kennedy Shriver National Institute of Child Health and Human Development
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Grant ID : EP/M029778/1
Funding program : -
Funding organization : Engineering and Physical Sciences Research Council (EPSRC)
Project name : -
Grant ID : 01EW1711A & B
Funding program : -
Funding organization : Bundesministerium für Bildung und Forschung

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 42 (7) Sequence Number: - Start / End Page: 2201 - 2213 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686