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Ageing and brain white matter structure in 3,513 UK Biobank participants
Quantifying the microstructural properties of the human brain's connections is necessary for understanding normal ageing and disease. Here we examine brain white matter magnetic resonance imaging (MRI) data in 3,513 generally healthy people aged 44.64–77.12 years from the UK Biobank. Using conv...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172385/ https://www.ncbi.nlm.nih.gov/pubmed/27976682 http://dx.doi.org/10.1038/ncomms13629 |
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author | Cox, Simon R. Ritchie, Stuart J. Tucker-Drob, Elliot M. Liewald, David C. Hagenaars, Saskia P. Davies, Gail Wardlaw, Joanna M. Gale, Catharine R. Bastin, Mark E. Deary, Ian J. |
author_facet | Cox, Simon R. Ritchie, Stuart J. Tucker-Drob, Elliot M. Liewald, David C. Hagenaars, Saskia P. Davies, Gail Wardlaw, Joanna M. Gale, Catharine R. Bastin, Mark E. Deary, Ian J. |
author_sort | Cox, Simon R. |
collection | PubMed |
description | Quantifying the microstructural properties of the human brain's connections is necessary for understanding normal ageing and disease. Here we examine brain white matter magnetic resonance imaging (MRI) data in 3,513 generally healthy people aged 44.64–77.12 years from the UK Biobank. Using conventional water diffusion measures and newer, rarely studied indices from neurite orientation dispersion and density imaging, we document large age associations with white matter microstructure. Mean diffusivity is the most age-sensitive measure, with negative age associations strongest in the thalamic radiation and association fibres. White matter microstructure across brain tracts becomes increasingly correlated in older age. This may reflect an age-related aggregation of systemic detrimental effects. We report several other novel results, including age associations with hemisphere and sex, and comparative volumetric MRI analyses. Results from this unusually large, single-scanner sample provide one of the most extensive characterizations of age associations with major white matter tracts in the human brain. |
format | Online Article Text |
id | pubmed-5172385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51723852016-12-23 Ageing and brain white matter structure in 3,513 UK Biobank participants Cox, Simon R. Ritchie, Stuart J. Tucker-Drob, Elliot M. Liewald, David C. Hagenaars, Saskia P. Davies, Gail Wardlaw, Joanna M. Gale, Catharine R. Bastin, Mark E. Deary, Ian J. Nat Commun Article Quantifying the microstructural properties of the human brain's connections is necessary for understanding normal ageing and disease. Here we examine brain white matter magnetic resonance imaging (MRI) data in 3,513 generally healthy people aged 44.64–77.12 years from the UK Biobank. Using conventional water diffusion measures and newer, rarely studied indices from neurite orientation dispersion and density imaging, we document large age associations with white matter microstructure. Mean diffusivity is the most age-sensitive measure, with negative age associations strongest in the thalamic radiation and association fibres. White matter microstructure across brain tracts becomes increasingly correlated in older age. This may reflect an age-related aggregation of systemic detrimental effects. We report several other novel results, including age associations with hemisphere and sex, and comparative volumetric MRI analyses. Results from this unusually large, single-scanner sample provide one of the most extensive characterizations of age associations with major white matter tracts in the human brain. Nature Publishing Group 2016-12-15 /pmc/articles/PMC5172385/ /pubmed/27976682 http://dx.doi.org/10.1038/ncomms13629 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cox, Simon R. Ritchie, Stuart J. Tucker-Drob, Elliot M. Liewald, David C. Hagenaars, Saskia P. Davies, Gail Wardlaw, Joanna M. Gale, Catharine R. Bastin, Mark E. Deary, Ian J. Ageing and brain white matter structure in 3,513 UK Biobank participants |
title | Ageing and brain white matter structure in 3,513 UK Biobank participants |
title_full | Ageing and brain white matter structure in 3,513 UK Biobank participants |
title_fullStr | Ageing and brain white matter structure in 3,513 UK Biobank participants |
title_full_unstemmed | Ageing and brain white matter structure in 3,513 UK Biobank participants |
title_short | Ageing and brain white matter structure in 3,513 UK Biobank participants |
title_sort | ageing and brain white matter structure in 3,513 uk biobank participants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172385/ https://www.ncbi.nlm.nih.gov/pubmed/27976682 http://dx.doi.org/10.1038/ncomms13629 |
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