TY - JOUR
T1 - Multimodal population brain imaging in the UK Biobank prospective epidemiological study
AU - Miller, Karla L.
AU - Alfaro-Almagro, Fidel
AU - Bangerter, Neal K.
AU - Thomas, David L.
AU - Yacoub, Essa
AU - Xu, Junqian
AU - Bartsch, Andreas J.
AU - Jbabdi, Saad
AU - Sotiropoulos, Stamatios N.
AU - Andersson, Jesper L R
AU - Griffanti, Ludovica
AU - Douaud, Gwenaëlle
AU - Okell, Thomas W.
AU - Weale, Peter
AU - Dragonu, Iulius
AU - Garratt, Steve
AU - Hudson, Sarah
AU - Collins, Rory
AU - Jenkinson, Mark
AU - Matthews, Paul M.
AU - Smith, Stephen M.
N1 - Publisher Copyright:
© Nature America, Inc., part of Springer Nature. All rights reserved.
PY - 2016/10/26
Y1 - 2016/10/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84988310761&partnerID=8YFLogxK
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U2 - 10.1038/nn.4393
DO - 10.1038/nn.4393
M3 - Article
C2 - 27643430
AN - SCOPUS:84988310761
SN - 1097-6256
VL - 19
SP - 1523
EP - 1536
JO - Nature neuroscience
JF - Nature neuroscience
IS - 11
ER -