期刊
NEUROIMAGE
卷 49, 期 1, 页码 247-256出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2009.08.039
关键词
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资金
- Medical Research Council
- EPSRC [EP/F05727X/1] Funding Source: UKRI
- MRC [G0501316, G0800578] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/F05727X/1] Funding Source: researchfish
- Medical Research Council [G0501316, G0800578] Funding Source: researchfish
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. (C) 2009 Elsevier Inc. All rights reserved.
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