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Multimodal population brain imaging in the UK Biobank prospective epidemiological study
- 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.
- Subjects :
- Male
0301 basic medicine
1702 Cognitive Sciences
DETERMINANTS
0302 clinical medicine
CONNECTIVITY
Risk Factors
MAGNETIC-RESONANCE
Prospective Studies
Biological Specimen Banks
education.field_of_study
medicine.diagnostic_test
General Neuroscience
Brain
CEREBRAL WHITE-MATTER
Middle Aged
Biobank
3. Good health
ALZHEIMERS-DISEASE
Cohort
Female
BONE-MINERAL DENSITY
Psychology
Life Sciences & Biomedicine
Tractography
Adult
DIFFUSION TENSOR
Population
Neuroimaging
Article
03 medical and health sciences
Medical imaging
medicine
Humans
education
Aged
Science & Technology
Neurology & Neurosurgery
Modalities
Neurosciences
TRACTOGRAPHY
Magnetic resonance imaging
FRAMEWORK
United Kingdom
AMYGDALA
Epidemiologic Studies
030104 developmental biology
1701 Psychology
Neurosciences & Neurology
1109 Neurosciences
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15461726 and 10976256
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Nature Neuroscience
- Accession number :
- edsair.doi.dedup.....2ee38f509ae5eed6509686f73d7ed36d