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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
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.
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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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