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White matter correlates of cognitive domains in normal aging with diffusion tensor imaging
The ability to perform complex as well as simple cognitive tasks engages a network of brain regions that is mediated by the white matter fiber bundles connecting them. Different cognitive tasks employ distinctive white matter fiber bundles. The temporal lobe and its projections subserve a variety of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3595518/ https://www.ncbi.nlm.nih.gov/pubmed/23493587 http://dx.doi.org/10.3389/fnins.2013.00032 |
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author | Sasson, Efrat Doniger, Glen M. Pasternak, Ofer Tarrasch, Ricardo Assaf, Yaniv |
author_facet | Sasson, Efrat Doniger, Glen M. Pasternak, Ofer Tarrasch, Ricardo Assaf, Yaniv |
author_sort | Sasson, Efrat |
collection | PubMed |
description | The ability to perform complex as well as simple cognitive tasks engages a network of brain regions that is mediated by the white matter fiber bundles connecting them. Different cognitive tasks employ distinctive white matter fiber bundles. The temporal lobe and its projections subserve a variety of key functions known to deteriorate during aging. In a cohort of 52 healthy subjects (ages 25–82 years), we performed voxel-wise regression analysis correlating performance in higher-order cognitive domains (executive function, information processing speed, and memory) with white matter integrity, as measured by diffusion tensor imaging (DTI) fiber tracking in the temporal lobe projections [uncinate fasciculus (UF), fornix, cingulum, inferior longitudinal fasciculus (ILF), and superior longitudinal fasciculus (SLF)]. The fiber tracts were spatially registered and statistical parametric maps were produced to spatially localize the significant correlations. Results showed that performance in the executive function domain is correlated with DTI parameters in the left SLF and right UF; performance in the information processing speed domain is correlated with fractional anisotropy (FA) in the left cingulum, left fornix, right and left ILF and SLF; and the memory domain shows significant correlations with DTI parameters in the right fornix, right cingulum, left ILF, left SLF and right UF. These findings suggest that DTI tractography enables anatomical definition of region of interest (ROI) for correlation of behavioral parameters with diffusion indices, and functionality can be correlated with white matter integrity. |
format | Online Article Text |
id | pubmed-3595518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-35955182013-03-14 White matter correlates of cognitive domains in normal aging with diffusion tensor imaging Sasson, Efrat Doniger, Glen M. Pasternak, Ofer Tarrasch, Ricardo Assaf, Yaniv Front Neurosci Neuroscience The ability to perform complex as well as simple cognitive tasks engages a network of brain regions that is mediated by the white matter fiber bundles connecting them. Different cognitive tasks employ distinctive white matter fiber bundles. The temporal lobe and its projections subserve a variety of key functions known to deteriorate during aging. In a cohort of 52 healthy subjects (ages 25–82 years), we performed voxel-wise regression analysis correlating performance in higher-order cognitive domains (executive function, information processing speed, and memory) with white matter integrity, as measured by diffusion tensor imaging (DTI) fiber tracking in the temporal lobe projections [uncinate fasciculus (UF), fornix, cingulum, inferior longitudinal fasciculus (ILF), and superior longitudinal fasciculus (SLF)]. The fiber tracts were spatially registered and statistical parametric maps were produced to spatially localize the significant correlations. Results showed that performance in the executive function domain is correlated with DTI parameters in the left SLF and right UF; performance in the information processing speed domain is correlated with fractional anisotropy (FA) in the left cingulum, left fornix, right and left ILF and SLF; and the memory domain shows significant correlations with DTI parameters in the right fornix, right cingulum, left ILF, left SLF and right UF. These findings suggest that DTI tractography enables anatomical definition of region of interest (ROI) for correlation of behavioral parameters with diffusion indices, and functionality can be correlated with white matter integrity. Frontiers Media S.A. 2013-03-13 /pmc/articles/PMC3595518/ /pubmed/23493587 http://dx.doi.org/10.3389/fnins.2013.00032 Text en Copyright © 2013 Sasson, Doniger, Pasternak, Tarrasch and Assaf. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Sasson, Efrat Doniger, Glen M. Pasternak, Ofer Tarrasch, Ricardo Assaf, Yaniv White matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
title | White matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
title_full | White matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
title_fullStr | White matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
title_full_unstemmed | White matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
title_short | White matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
title_sort | white matter correlates of cognitive domains in normal aging with diffusion tensor imaging |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3595518/ https://www.ncbi.nlm.nih.gov/pubmed/23493587 http://dx.doi.org/10.3389/fnins.2013.00032 |
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