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White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines

The apolipoprotein E4 (ApoE4) is an established risk factor for Alzheimer's disease (AD). Previous work has shown that this allele is associated with functional (fMRI) changes as well structural grey matter (GM) changes in healthy young, middle-aged and older subjects. Here, we assess the diffu...

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Autores principales: O'Dwyer, Laurence, Lamberton, Franck, Matura, Silke, Scheibe, Monika, Miller, Julia, Rujescu, Dan, Prvulovic, David, Hampel, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338494/
https://www.ncbi.nlm.nih.gov/pubmed/22558310
http://dx.doi.org/10.1371/journal.pone.0036024
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author O'Dwyer, Laurence
Lamberton, Franck
Matura, Silke
Scheibe, Monika
Miller, Julia
Rujescu, Dan
Prvulovic, David
Hampel, Harald
author_facet O'Dwyer, Laurence
Lamberton, Franck
Matura, Silke
Scheibe, Monika
Miller, Julia
Rujescu, Dan
Prvulovic, David
Hampel, Harald
author_sort O'Dwyer, Laurence
collection PubMed
description The apolipoprotein E4 (ApoE4) is an established risk factor for Alzheimer's disease (AD). Previous work has shown that this allele is associated with functional (fMRI) changes as well structural grey matter (GM) changes in healthy young, middle-aged and older subjects. Here, we assess the diffusion characteristics and the white matter (WM) tracts of healthy young (20–38 years) ApoE4 carriers and non-carriers. No significant differences in diffusion indices were found between young carriers (ApoE4+) and non-carriers (ApoE4−). There were also no significant differences between the groups in terms of normalised GM or WM volume. A feature selection algorithm (ReliefF) was used to select the most salient voxels from the diffusion data for subsequent classification with support vector machines (SVMs). SVMs were capable of classifying ApoE4 carrier and non-carrier groups with an extremely high level of accuracy. The top 500 voxels selected by ReliefF were then used as seeds for tractography which identified a WM network that included regions of the parietal lobe, the cingulum bundle and the dorsolateral frontal lobe. There was a non-significant decrease in volume of this WM network in the ApoE4 carrier group. Our results indicate that there are subtle WM differences between healthy young ApoE4 carriers and non-carriers and that the WM network identified may be particularly vulnerable to further degeneration in ApoE4 carriers as they enter middle and old age.
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spelling pubmed-33384942012-05-03 White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines O'Dwyer, Laurence Lamberton, Franck Matura, Silke Scheibe, Monika Miller, Julia Rujescu, Dan Prvulovic, David Hampel, Harald PLoS One Research Article The apolipoprotein E4 (ApoE4) is an established risk factor for Alzheimer's disease (AD). Previous work has shown that this allele is associated with functional (fMRI) changes as well structural grey matter (GM) changes in healthy young, middle-aged and older subjects. Here, we assess the diffusion characteristics and the white matter (WM) tracts of healthy young (20–38 years) ApoE4 carriers and non-carriers. No significant differences in diffusion indices were found between young carriers (ApoE4+) and non-carriers (ApoE4−). There were also no significant differences between the groups in terms of normalised GM or WM volume. A feature selection algorithm (ReliefF) was used to select the most salient voxels from the diffusion data for subsequent classification with support vector machines (SVMs). SVMs were capable of classifying ApoE4 carrier and non-carrier groups with an extremely high level of accuracy. The top 500 voxels selected by ReliefF were then used as seeds for tractography which identified a WM network that included regions of the parietal lobe, the cingulum bundle and the dorsolateral frontal lobe. There was a non-significant decrease in volume of this WM network in the ApoE4 carrier group. Our results indicate that there are subtle WM differences between healthy young ApoE4 carriers and non-carriers and that the WM network identified may be particularly vulnerable to further degeneration in ApoE4 carriers as they enter middle and old age. Public Library of Science 2012-04-25 /pmc/articles/PMC3338494/ /pubmed/22558310 http://dx.doi.org/10.1371/journal.pone.0036024 Text en O'Dwyer et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
O'Dwyer, Laurence
Lamberton, Franck
Matura, Silke
Scheibe, Monika
Miller, Julia
Rujescu, Dan
Prvulovic, David
Hampel, Harald
White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines
title White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines
title_full White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines
title_fullStr White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines
title_full_unstemmed White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines
title_short White Matter Differences between Healthy Young ApoE4 Carriers and Non-Carriers Identified with Tractography and Support Vector Machines
title_sort white matter differences between healthy young apoe4 carriers and non-carriers identified with tractography and support vector machines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338494/
https://www.ncbi.nlm.nih.gov/pubmed/22558310
http://dx.doi.org/10.1371/journal.pone.0036024
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