Crossing fibres in tract-based spatial statistics
Abstract
Voxelwise analysis of white matter properties typically relies on scalar measurements derived, for example, from a tensor model fit to diffusion MRI data. These are spatially matched across subjects prior to statistical modelling. In this paper, we show why and how this can be improved through the use of directionally dependent measurements. In the case where different orientations relate to different fibre populations (e.g., in the presence of crossing fibres), distinguishing and matching those populations of fibres across subjects are important prior to any statistical modelling. It allows one to compare measurements that are related to the same fibres across subjects. We show how this framework applies to the parameters of a crossing fibre model and discuss its implications for voxelwise analysis of the white matter.
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The DTI model cannot differentiate tissue compartments or crossing fibers, which are estimated to occur in up to 90% of white matter voxels at typical dMRI resolution.
“The DTI model cannot differentiate these components or even crossing fibers (Tuch et al., 2002; Jbabdi et al., 2010), which are estimated to occur in up to 90% of WM voxels at the typical dMRI resolution (Descoteaux et al., 2009; Jeurissen et al., 2013).”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Jbabdi et al., 2010
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- Authors
- Jbabdi, S., Behrens, T. E. J., & Smith, S. M.
- Affiliations
- John Radcliffe Hospital (GB)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 49
- Issue
- 1
- Pages
- 249-256
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1982877110
- Cited by
- 187
- References
- 24
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 6 · 2023: 5 · 2022: 8 · 2021: 12 · 2020: 11 · 2019: 10 · 2018: 14 · 2017: 14 · 2016: 20 · 2015: 15 · 2014: 21 · 2013: 10 · 2012: 10
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- Engineering and Physical Sciences Research Council (EP/F05727X/1)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- crossing fibers, tract-based spatial statistics, white matter, diffusion MRI, voxelwise analysis
- MeSH terms
- Adult, Brain, Female, Humans, Image Processing, Computer-Assisted, Male, Models, Neurological, Nerve Fibers, Regression Analysis, Sex Characteristics, Diffusion Magnetic Resonance Imaging, Young Adult
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