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Brain white matter structure and information processing speed in healthy older age
Cognitive decline, especially the slowing of information processing speed, is associated with normal ageing. This decline may be due to brain cortico-cortical disconnection caused by age-related white matter deterioration. We present results from a large, narrow age range cohort of generally healthy...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920858/ https://www.ncbi.nlm.nih.gov/pubmed/26254904 http://dx.doi.org/10.1007/s00429-015-1097-5 |
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author | Kuznetsova, Ksenia A. Maniega, Susana Muñoz Ritchie, Stuart J. Cox, Simon R. Storkey, Amos J. Starr, John M. Wardlaw, Joanna M. Deary, Ian J. Bastin, Mark E. |
author_facet | Kuznetsova, Ksenia A. Maniega, Susana Muñoz Ritchie, Stuart J. Cox, Simon R. Storkey, Amos J. Starr, John M. Wardlaw, Joanna M. Deary, Ian J. Bastin, Mark E. |
author_sort | Kuznetsova, Ksenia A. |
collection | PubMed |
description | Cognitive decline, especially the slowing of information processing speed, is associated with normal ageing. This decline may be due to brain cortico-cortical disconnection caused by age-related white matter deterioration. We present results from a large, narrow age range cohort of generally healthy, community-dwelling subjects in their seventies who also had their cognitive ability tested in youth (age 11 years). We investigate associations between older age brain white matter structure, several measures of information processing speed and childhood cognitive ability in 581 subjects. Analysis of diffusion tensor MRI data using Tract-based Spatial Statistics (TBSS) showed that all measures of information processing speed, as well as a general speed factor composed from these tests (g(speed)), were significantly associated with fractional anisotropy (FA) across the white matter skeleton rather than in specific tracts. Cognitive ability measured at age 11 years was not associated with older age white matter FA, except for the g(speed)-independent components of several individual processing speed tests. These results indicate that quicker and more efficient information processing requires global connectivity in older age, and that associations between white matter FA and information processing speed (both individual test scores and g(speed)), unlike some other aspects of later life brain structure, are generally not accounted for by cognitive ability measured in youth. |
format | Online Article Text |
id | pubmed-4920858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-49208582016-07-12 Brain white matter structure and information processing speed in healthy older age Kuznetsova, Ksenia A. Maniega, Susana Muñoz Ritchie, Stuart J. Cox, Simon R. Storkey, Amos J. Starr, John M. Wardlaw, Joanna M. Deary, Ian J. Bastin, Mark E. Brain Struct Funct Original Article Cognitive decline, especially the slowing of information processing speed, is associated with normal ageing. This decline may be due to brain cortico-cortical disconnection caused by age-related white matter deterioration. We present results from a large, narrow age range cohort of generally healthy, community-dwelling subjects in their seventies who also had their cognitive ability tested in youth (age 11 years). We investigate associations between older age brain white matter structure, several measures of information processing speed and childhood cognitive ability in 581 subjects. Analysis of diffusion tensor MRI data using Tract-based Spatial Statistics (TBSS) showed that all measures of information processing speed, as well as a general speed factor composed from these tests (g(speed)), were significantly associated with fractional anisotropy (FA) across the white matter skeleton rather than in specific tracts. Cognitive ability measured at age 11 years was not associated with older age white matter FA, except for the g(speed)-independent components of several individual processing speed tests. These results indicate that quicker and more efficient information processing requires global connectivity in older age, and that associations between white matter FA and information processing speed (both individual test scores and g(speed)), unlike some other aspects of later life brain structure, are generally not accounted for by cognitive ability measured in youth. Springer Berlin Heidelberg 2015-08-09 2016 /pmc/articles/PMC4920858/ /pubmed/26254904 http://dx.doi.org/10.1007/s00429-015-1097-5 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Kuznetsova, Ksenia A. Maniega, Susana Muñoz Ritchie, Stuart J. Cox, Simon R. Storkey, Amos J. Starr, John M. Wardlaw, Joanna M. Deary, Ian J. Bastin, Mark E. Brain white matter structure and information processing speed in healthy older age |
title | Brain white matter structure and information processing speed in healthy older age |
title_full | Brain white matter structure and information processing speed in healthy older age |
title_fullStr | Brain white matter structure and information processing speed in healthy older age |
title_full_unstemmed | Brain white matter structure and information processing speed in healthy older age |
title_short | Brain white matter structure and information processing speed in healthy older age |
title_sort | brain white matter structure and information processing speed in healthy older age |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920858/ https://www.ncbi.nlm.nih.gov/pubmed/26254904 http://dx.doi.org/10.1007/s00429-015-1097-5 |
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