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Journal ArticleDOI

Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

TLDR
TBSS aims to improve the sensitivity, objectivity and interpretability of analysis of multi-subject diffusion imaging studies by solving the question of how to align FA images from multiple subjects in a way that allows for valid conclusions to be drawn from the subsequent voxelwise analysis.
About
This article is published in NeuroImage.The article was published on 2006-07-15. It has received 5959 citations till now. The article focuses on the topics: Fractional anisotropy & Anisotropic diffusion.

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Citations
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Bayesian analysis of neuroimaging data in FSL.

TL;DR: How Bayesian techniques have made a significant impact in tackling problems such as neuroimaging problems, particularly in regards to the analysis tools in the FMRIB Software Library (FSL), is described.
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Training induces changes in white-matter architecture

TL;DR: Using diffusion imaging, a localized increase in fractional anisotropy is detected in white matter underlying the intraparietal sulcus following training of a complex visuo-motor skill, the first evidence for training-related changes in white-matter structure in the healthy human adult brain.
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White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study

TL;DR: Analysis of radial and axial diffusivity values suggested that all severities of TBI can result in a degree of axonal damage, while irreversible myelin damage was only apparent for moderate to severe TBI.
References
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Journal ArticleDOI

Advances in functional and structural MR image analysis and implementation as FSL.

TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
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Fast robust automated brain extraction

TL;DR: An automated method for segmenting magnetic resonance head images into brain and non‐brain has been developed and described and examples of results and the results of extensive quantitative testing against “gold‐standard” hand segmentations, and two other popular automated methods.
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Voxel-Based Morphometry—The Methods

TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
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A global optimisation method for robust affine registration of brain images

TL;DR: It is demonstrated that the use of local optimisation methods together with the standard multi-resolution approach is not sufficient to reliably find the global minimum, so a global optimisation method is proposed that is specifically tailored to this form of registration.
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