Multimodal population brain imaging in the UK Biobank prospective epidemiological study
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 hea...
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| Format: | Article |
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Nature Publishing Group
2016
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| Online Access: | https://eprints.nottingham.ac.uk/50945/ |
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| author | Miller, Karla L. Alfaro-Almagro, Fidel Bangerter, Neal K. Thomas, David L. Yacoub, Essa Xu, Junqian Bartsch, Andreas J. Jbabdi, Saad Sotiropoulos, Stamatios N. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Okell, Thomas W. Weale, Peter Dragonu, Iulius Garratt, Steve Hudson, Sarah Collins, Rory Jenkinson, Mark Matthews, Paul M. Smith, Stephen M. |
| author_facet | Miller, Karla L. Alfaro-Almagro, Fidel Bangerter, Neal K. Thomas, David L. Yacoub, Essa Xu, Junqian Bartsch, Andreas J. Jbabdi, Saad Sotiropoulos, Stamatios N. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Okell, Thomas W. Weale, Peter Dragonu, Iulius Garratt, Steve Hudson, Sarah Collins, Rory Jenkinson, Mark Matthews, Paul M. Smith, Stephen M. |
| author_sort | Miller, Karla L. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:18:46Z |
| format | Article |
| id | nottingham-50945 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:18:46Z |
| publishDate | 2016 |
| publisher | Nature Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-509452020-05-04T18:11:43Z https://eprints.nottingham.ac.uk/50945/ Multimodal population brain imaging in the UK Biobank prospective epidemiological study Miller, Karla L. Alfaro-Almagro, Fidel Bangerter, Neal K. Thomas, David L. Yacoub, Essa Xu, Junqian Bartsch, Andreas J. Jbabdi, Saad Sotiropoulos, Stamatios N. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Okell, Thomas W. Weale, Peter Dragonu, Iulius Garratt, Steve Hudson, Sarah Collins, Rory Jenkinson, Mark Matthews, Paul M. Smith, Stephen M. 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. Nature Publishing Group 2016-09-19 Article PeerReviewed Miller, Karla L., Alfaro-Almagro, Fidel, Bangerter, Neal K., Thomas, David L., Yacoub, Essa, Xu, Junqian, Bartsch, Andreas J., Jbabdi, Saad, Sotiropoulos, Stamatios N., Andersson, Jesper L.R., Griffanti, Ludovica, Douaud, Gwenaëlle, Okell, Thomas W., Weale, Peter, Dragonu, Iulius, Garratt, Steve, Hudson, Sarah, Collins, Rory, Jenkinson, Mark, 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 Cognitive ageing; Neurological disorders; Predictive markers https://www.nature.com/articles/nn.4393 doi:10.1038/nn.4393 doi:10.1038/nn.4393 |
| spellingShingle | Cognitive ageing; Neurological disorders; Predictive markers Miller, Karla L. Alfaro-Almagro, Fidel Bangerter, Neal K. Thomas, David L. Yacoub, Essa Xu, Junqian Bartsch, Andreas J. Jbabdi, Saad Sotiropoulos, Stamatios N. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Okell, Thomas W. Weale, Peter Dragonu, Iulius Garratt, Steve Hudson, Sarah Collins, Rory Jenkinson, Mark Matthews, Paul M. Smith, Stephen M. Multimodal population brain imaging in the UK Biobank prospective epidemiological study |
| title | Multimodal population brain imaging in the UK Biobank prospective epidemiological study |
| title_full | Multimodal population brain imaging in the UK Biobank prospective epidemiological study |
| title_fullStr | Multimodal population brain imaging in the UK Biobank prospective epidemiological study |
| title_full_unstemmed | Multimodal population brain imaging in the UK Biobank prospective epidemiological study |
| title_short | Multimodal population brain imaging in the UK Biobank prospective epidemiological study |
| title_sort | multimodal population brain imaging in the uk biobank prospective epidemiological study |
| topic | Cognitive ageing; Neurological disorders; Predictive markers |
| url | https://eprints.nottingham.ac.uk/50945/ https://eprints.nottingham.ac.uk/50945/ https://eprints.nottingham.ac.uk/50945/ |