Cited by 187Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Crossing fibres in tract-based spatial statistics

Jbabdi, Saad, Behrens, Timothy E.J., Smith, Stephen M.·2010·NeuroImage

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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Crossref · 10.1016/j.neuroimage.2009.08.039

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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).”

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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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