Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities

Dhollander, Thijs, Clemente, Adam, Singh, Mervyn, Boonstra, Frederique, Civier, Oren, Duque, Juan Dominguez, Egorova, Natalia, Enticott, Peter, Fuelscher, Ian, Gajamange, Sanuji, Genc, Sila, Gottlieb, Elie, Hyde, Christian, Imms, Phoebe, Kelly, Claire, Kirkovski, Melissa, Kolbe, Scott, Liang, Xiaoyun, Malhotra, Atul, Mito, Remika, Poudel, Govinda, Silk, Tim J., Vaughan, David N., Zanin, Julien, Raffelt, David and Caeyenberghs, Karen 2021. Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities. NeuroImage 241 , 118417. 10.1016/j.neuroimage.2021.118417

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Abstract

Diffusion MRI has provided the neuroimaging community with a powerful tool to acquire in-vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude smaller than typical voxel sizes. The key to extracting such valuable information lies in complex modelling techniques, which form the link between the rich diffusion MRI data and various metrics related to the microstructural organization. Over time, increasingly advanced techniques have been developed, up to the point where some diffusion MRI models can now provide access to properties specific to individual fibre populations in each voxel in the presence of multiple “crossing” fibre pathways. While highly valuable, such fibre-specific information poses unique challenges for typical image processing pipelines and statistical analysis. In this work, we review the “Fixel-Based Analysis” (FBA) framework, which implements bespoke solutions to this end. It has recently seen a stark increase in adoption for studies of both typical (healthy) populations as well as a wide range of clinical populations. We describe the main concepts related to Fixel-Based Analyses, as well as the methods and specific steps involved in a state-of-the-art FBA pipeline, with a focus on providing researchers with practical advice on how to interpret results. We also include an overview of the scope of all current FBA studies, categorized across a broad range of neuro-scientific domains, listing key design choices and summarizing their main results and conclusions. Finally, we critically discuss several aspects and challenges involved with the FBA framework, and outline some directions and future opportunities.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Additional Information:	This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
Publisher:	Elsevier
ISSN:	1053-8119
Date of First Compliant Deposit:	17 August 2021
Date of Acceptance:	20 July 2021
Last Modified:	02 May 2023 22:58
URI:	https://orca.cardiff.ac.uk/id/eprint/143429

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