Investigating white matter fibre density and morphology using fixel-based analysis
Florey Institute of Neuroscience and Mental Health · King's College London · +7 more institutions
Abstract
Voxel-based analysis of diffusion MRI data is increasingly popular. However, most white matter voxels contain contributions from multiple fibre populations (often referred to as crossing fibres), and therefore voxel-averaged quantitative measures (e.g. fractional anisotropy) are not fibre-specific and have poor interpretability. Using higher-order diffusion models, parameters related to fibre density can be extracted for individual fibre populations within each voxel ('fixels'), and recent advances in statistics enable the multi-subject analysis of such data. However, investigating within-voxel microscopic fibre density alone does not account for macroscopic differences in the white matter morphology (e.g. the…
Citation impact
- FWCI
- 22.71
- Percentile
- 100%
- References
- 87
Authors
7- DRDavid RaffeltCorresponding
Florey Institute of Neuroscience and Mental Health
- JTJacques‐Donald Tournier
King's College London
- RERobert E. Smith
Florey Institute of Neuroscience and Mental Health
- DNDavid N. Vaughan
University of Melbourne, Northern Health, Austin Health, Florey Institute of Neuroscience and Mental Health
- GDGraeme D. Jackson
Austin Health, Northern Health, Florey Institute of Neuroscience and Mental Health, University of Melbourne
Topics & keywords
- Voxel
- Fiber bundle
- Bundle
- Measure (data warehouse)
- Diffusion MRI
- Interpretability
- White matter
- Fractional anisotropy