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FMRIB Software Library

About: FMRIB Software Library is a research topic. Over the lifetime, 90 publications have been published within this topic receiving 13989 citations.


Papers
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Journal ArticleDOI
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.

12,097 citations

Journal ArticleDOI
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.

2,269 citations

Journal ArticleDOI
TL;DR: A volumetric analysis of age-related changes in WM and GM based on these templates showed expected increase/decrease pattern in GM and an increase in WM over the sampled ages.
Abstract: This study created a database of pediatric age-specific magnetic resonance imaging (MRI) brain templates for normalization and segmentation. Participants included children from 4.5 through 19.5 years, totaling 823 scans from 494 subjects. Open-source processing programs (FMRIB Software Library, Statistical Parametric Mapping, Advanced Normalization Tools [ANTS]) constructed head, brain, and segmentation templates in 6-month intervals. The tissue classification (white matter [WM], gray matter [GM], cerebrospinal fluid) showed changes over age similar to previous reports. A volumetric analysis of age-related changes in WM and GM based on these templates showed expected increase/decrease pattern in GM and an increase in WM over the sampled ages. This database is available for use for neuroimaging studies (http://jerlab.psych.sc.edu/neurodevelopmentalmridatabase).

148 citations

Journal ArticleDOI
TL;DR: The results suggested that this group of patients has possible deficits of gray matter volumes over the default-mode network, fronto-cingulate and limbic structures, which might have started since the first episode.

91 citations

Journal ArticleDOI
TL;DR: The results suggest a pattern of brain atrophy with non-demented people that resembles a less extreme form of the changes associated with Alzheimer's disease (AD).

82 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202115
20208
20199
201810
20177
20166