Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis

Journal article


Arun, Arush, Connelly, Alan, Smith, Robert E. and Calamante, Fernando. (2021). Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis. NeuroImage. 225, pp. 1-11. https://doi.org/10.1016/j.neuroimage.2020.117505
AuthorsArun, Arush, Connelly, Alan, Smith, Robert E. and Calamante, Fernando
Abstract

The diffusion tensor model for diffusion MRI has been used extensively to study asymmetry in the human brain white matter. However, given the limitations of the tensor model, the nature of any underlying asymmetries remains uncertain, particularly in crossing fibre regions. Here, we provide a more robust characterisation of human brain white matter asymmetries based on fibre-specific diffusion MRI metrics and a whole-brain data-driven approach. We used high-quality diffusion MRI data (n = 100) from the Human Connectome Project, the spherical deconvolution model for fibre orientation distribution estimation, and the Fixel-Based Analysis framework to utilise crossing fibre information in registration, data smoothing and statistical inference. We found many significant asymmetries, widespread throughout the brain white matter, with both left>right and right>left dominances observed in different pathways. No influences of sex, age, or handedness on asymmetry were found. We also report on the relative contributions of microstructural and morphological white matter properties toward the asymmetry findings. Our findings should provide important information to future studies focussing on how these asymmetries are affected by disease, development/ageing, or how they correlate to functional/cognitive measures.

KeywordsWhite matter; Asymmetry Diffusion ; MRI Fixel-based analysis
Year01 Jan 2021
JournalNeuroImage
Journal citation225, pp. 1-11
PublisherElsevier Inc. (USA)
ISSN1053-8119
Digital Object Identifier (DOI)https://doi.org/10.1016/j.neuroimage.2020.117505
Web address (URL)https://www.sciencedirect.com/science/article/pii/S1053811920309903?via%3Dihub
Open accessOpen access
Research or scholarlyResearch
Page range1-11
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Print02 Nov 2020
Publication process dates
Accepted22 Oct 2020
Deposited19 Jul 2024
Supplemental file
License
File Access Level
Open
Additional information

© 2020 The Author(s). Published by Elsevier Inc.

This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/)

For supplementary video content:
https://www.sciencedirect.com/science/article/pii/S1053811920309903?...

Place of publicationUnited States
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