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Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Authors :
Mark Jenkinson
Andreas J. Bartsch
Junqian Xu
Paul M. Matthews
Steve Garratt
Stamatios N. Sotiropoulos
Stephen M. Smith
Peter Weale
Sarah Hudson
Thomas W. Okell
David L. Thomas
Iulius Dragonu
Gwenaƫlle Douaud
Karla L. Miller
Fidel Alfaro-Almagro
Ludovica Griffanti
Jesper L. R. Andersson
Essa Yacoub
Saad Jbabdi
Neal K. Bangerter
Rory Collins
Engineering & Physical Science Research Council (EPSRC)
Biogen Idec Ltd
UK DRI Ltd
Medical Research Council (MRC)
Source :
Nature neuroscience
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to address this problem directly by acquiring high-quality, consistently acquired imaging data from 100,000 predominantly healthy participants, with health outcomes being tracked over the coming decades. The brain imaging includes structural, diffusion and functional modalities. Along with body and cardiac imaging, genetics, lifestyle measures, biological phenotyping and health records, this imaging is expected to enable discovery of imaging markers of a broad range of diseases at their earliest stages, as well as provide unique insight into disease mechanisms. We describe UK Biobank brain imaging and present results derived from the first 5,000 participants' data release. Although this covers just 5% of the ultimate cohort, it has already yielded a rich range of associations between brain imaging and other measures collected by UK Biobank.

Details

ISSN :
15461726 and 10976256
Volume :
19
Database :
OpenAIRE
Journal :
Nature Neuroscience
Accession number :
edsair.doi.dedup.....2ee38f509ae5eed6509686f73d7ed36d