Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Miller, Karla L. and Alfaro-Almagro, Fidel and Bangerter, Neal K. and Thomas, David L. and Yacoub, Essa and Xu, Junqian and Bartsch, Andreas J. and Jbabdi, Saad and Sotiropoulos, Stamatios N. and Andersson, Jesper L.R. and Griffanti, Ludovica and Douaud, Gwenaëlle and Okell, Thomas W. and Weale, Peter and Dragonu, Iulius and Garratt, Steve and Hudson, Sarah and Collins, Rory and Jenkinson, Mark and Matthews, Paul M. and Smith, Stephen M. (2016) Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience, 19 (11). pp. 1523-1536. ISSN 1546-1726

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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.

Item Type: Article
Keywords: Cognitive ageing; Neurological disorders; Predictive markers
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine
Identification Number: 10.1038/nn.4393
Depositing User: Eprints, Support
Date Deposited: 05 Apr 2018 08:52
Last Modified: 05 Apr 2018 13:37
URI: http://eprints.nottingham.ac.uk/id/eprint/50945

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