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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 datasets prior to symptom onset. UK Biobank aims to address this problem directly by acquiring high quality, consistently acquired imaging data from 100,000 predominantly he...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086094/ https://www.ncbi.nlm.nih.gov/pubmed/27643430 http://dx.doi.org/10.1038/nn.4393 |
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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 LR 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 LR 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 |
collection | PubMed |
description | Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring datasets prior to 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 tracked over 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 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 that covers just 5% of the ultimate cohort, it already yields a rich range of associations between brain imaging and other measures collected by UK Biobank. |
format | Online Article Text |
id | pubmed-5086094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-50860942017-03-19 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 LR 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 Nat Neurosci Article Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring datasets prior to 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 tracked over 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 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 that covers just 5% of the ultimate cohort, it already yields a rich range of associations between brain imaging and other measures collected by UK Biobank. 2016-09-19 2016-11 /pmc/articles/PMC5086094/ /pubmed/27643430 http://dx.doi.org/10.1038/nn.4393 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article 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 LR 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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086094/ https://www.ncbi.nlm.nih.gov/pubmed/27643430 http://dx.doi.org/10.1038/nn.4393 |
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