4.7 Article

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Journal

NATURE NEUROSCIENCE
Volume 19, Issue 11, Pages 1523-1536

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nn.4393

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Funding

  1. UK Medical Research Council
  2. Wellcome Trust
  3. Edmund J Safra Foundation
  4. Imperial College Healthcare Trust Biomedical Research Centre
  5. Medical Research Council
  6. EPSRC [EP/L023067/1, EP/N014529/1] Funding Source: UKRI
  7. MRC [MR/K006673/1, MR/M024903/1, MC_PC_15067, MR/L009013/1] Funding Source: UKRI
  8. Engineering and Physical Sciences Research Council [EP/N014529/1, EP/L023067/1] Funding Source: researchfish
  9. Medical Research Council [MC_PC_12027, MR/K006673/1, MC_PC_15067, MR/L009013/1, MR/M024903/1] Funding Source: researchfish
  10. National Institute for Health Research [NF-SI-0514-10022] Funding Source: researchfish
  11. Parkinson's UK [J-1403] Funding Source: researchfish

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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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