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Multimodal Population Brain Imaging in the UK Biobank Prospective Epidemiological Study

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.

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References
1.
Barch D, Burgess G, Harms M, Petersen S, Schlaggar B, Corbetta M . Function in the human connectome: task-fMRI and individual differences in behavior. Neuroimage. 2013; 80:169-89. PMC: 4011498. DOI: 10.1016/j.neuroimage.2013.05.033. View

2.
Pirpamer L, Hofer E, Gesierich B, De Guio F, Freudenberger P, Seiler S . Determinants of iron accumulation in the normal aging brain. Neurobiol Aging. 2016; 43:149-55. DOI: 10.1016/j.neurobiolaging.2016.04.002. View

3.
Jenkinson M, Bannister P, Brady M, Smith S . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002; 17(2):825-41. DOI: 10.1016/s1053-8119(02)91132-8. View

4.
Kiviniemi V, Starck T, Remes J, Long X, Nikkinen J, Haapea M . Functional segmentation of the brain cortex using high model order group PICA. Hum Brain Mapp. 2009; 30(12):3865-86. PMC: 6870574. DOI: 10.1002/hbm.20813. View

5.
Petersen S, Matthews P, Bamberg F, Bluemke D, Francis J, Friedrich M . Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches. J Cardiovasc Magn Reson. 2013; 15:46. PMC: 3668194. DOI: 10.1186/1532-429X-15-46. View