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The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).

Original publication

DOI

10.1016/j.neuroimage.2004.07.051

Type

Journal article

Journal

NeuroImage

Publication Date

01/2004

Volume

23 Suppl 1

Pages

S208 - S219

Addresses

Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Department of Clinical Neurology, John Radcliffe Hospital, Oxford University, Headington, Oxford OX3 9DU, UK. steve@fmrib.ox.ac.uk

Keywords

Brain, Humans, Magnetic Resonance Imaging, Models, Statistical, Bayes Theorem, Models, Neurological, Image Processing, Computer-Assisted, Software, Databases, Factual