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An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease
Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer’s disease (EOAD), we used a novel appro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167220/ https://www.ncbi.nlm.nih.gov/pubmed/26515192 http://dx.doi.org/10.1007/s11682-015-9458-5 |
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author | Daianu, Madelaine Mendez, Mario F. Baboyan, Vatche G. Jin, Yan Melrose, Rebecca J. Jimenez, Elvira E. Thompson, Paul M. |
author_facet | Daianu, Madelaine Mendez, Mario F. Baboyan, Vatche G. Jin, Yan Melrose, Rebecca J. Jimenez, Elvira E. Thompson, Paul M. |
author_sort | Daianu, Madelaine |
collection | PubMed |
description | Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer’s disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics – fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter – the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11682-015-9458-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5167220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-51672202017-01-03 An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease Daianu, Madelaine Mendez, Mario F. Baboyan, Vatche G. Jin, Yan Melrose, Rebecca J. Jimenez, Elvira E. Thompson, Paul M. Brain Imaging Behav Original Research Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer’s disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics – fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter – the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11682-015-9458-5) contains supplementary material, which is available to authorized users. Springer US 2015-10-29 2016 /pmc/articles/PMC5167220/ /pubmed/26515192 http://dx.doi.org/10.1007/s11682-015-9458-5 Text en © The Author(s) 2015 Open Access This 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 Research Daianu, Madelaine Mendez, Mario F. Baboyan, Vatche G. Jin, Yan Melrose, Rebecca J. Jimenez, Elvira E. Thompson, Paul M. An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease |
title | An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease |
title_full | An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease |
title_fullStr | An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease |
title_full_unstemmed | An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease |
title_short | An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease |
title_sort | advanced white matter tract analysis in frontotemporal dementia and early-onset alzheimer’s disease |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167220/ https://www.ncbi.nlm.nih.gov/pubmed/26515192 http://dx.doi.org/10.1007/s11682-015-9458-5 |
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