Journal article
Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis
A Honnedevasthana Arun, A Connelly, RE Smith, F Calamante
Neuroimage | Published : 2021
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 regis..
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Awarded by National Institutes of Health
Funding Acknowledgements
This work was supported by funding from the National Health and Medical Research Council of Australia (grant numbers APP1091593 and APP1117724), the Australian Research Council (grant number DP170101815), the Victorian Government's Operational Infrastructure Support Program, and the Melbourne Bioinformatics at the University of Melbourne, grant number UOM0048. RS is supported by fellowship funding from the National Imaging Facility (NIF), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) capability. Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell centre for Systems Neuroscience at Washington University. The authors acknowledge the technical assistance provided by the Sydney Informatics Hub, a Core Research Facility of the University of Sydney.