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ApoE influences regional white-matter axonal density loss in Alzheimer's disease

Mechanisms underlying phenotypic heterogeneity in young onset Alzheimer disease (YOAD) are poorly understood. We used diffusion tensor imaging and neurite orientation dispersion and density imaging (NODDI) with tract-based spatial statistics to investigate apolipoprotein (APOE) ε4 modulation of whit...

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Autores principales: Slattery, Catherine F., Zhang, Jiaying, Paterson, Ross W., Foulkes, Alexander J.M., Carton, Amelia, Macpherson, Kirsty, Mancini, Laura, Thomas, David L., Modat, Marc, Toussaint, Nicolas, Cash, David M., Thornton, John S., Henley, Susie M.D., Crutch, Sebastian J., Alexander, Daniel C., Ourselin, Sebastien, Fox, Nick C., Zhang, Hui, Schott, Jonathan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538347/
https://www.ncbi.nlm.nih.gov/pubmed/28578156
http://dx.doi.org/10.1016/j.neurobiolaging.2017.04.021
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author Slattery, Catherine F.
Zhang, Jiaying
Paterson, Ross W.
Foulkes, Alexander J.M.
Carton, Amelia
Macpherson, Kirsty
Mancini, Laura
Thomas, David L.
Modat, Marc
Toussaint, Nicolas
Cash, David M.
Thornton, John S.
Henley, Susie M.D.
Crutch, Sebastian J.
Alexander, Daniel C.
Ourselin, Sebastien
Fox, Nick C.
Zhang, Hui
Schott, Jonathan M.
author_facet Slattery, Catherine F.
Zhang, Jiaying
Paterson, Ross W.
Foulkes, Alexander J.M.
Carton, Amelia
Macpherson, Kirsty
Mancini, Laura
Thomas, David L.
Modat, Marc
Toussaint, Nicolas
Cash, David M.
Thornton, John S.
Henley, Susie M.D.
Crutch, Sebastian J.
Alexander, Daniel C.
Ourselin, Sebastien
Fox, Nick C.
Zhang, Hui
Schott, Jonathan M.
author_sort Slattery, Catherine F.
collection PubMed
description Mechanisms underlying phenotypic heterogeneity in young onset Alzheimer disease (YOAD) are poorly understood. We used diffusion tensor imaging and neurite orientation dispersion and density imaging (NODDI) with tract-based spatial statistics to investigate apolipoprotein (APOE) ε4 modulation of white-matter damage in 37 patients with YOAD (22, 59% APOE ε4 positive) and 23 age-matched controls. Correlation between neurite density index (NDI) and neuropsychological performance was assessed in 4 white-matter regions of interest. White-matter disruption was more widespread in ε4+ individuals but more focal (posterior predominant) in the absence of an ε4 allele. NODDI metrics indicate fractional anisotropy changes are underpinned by combinations of axonal loss and morphological change. Regional NDI in parieto-occipital white matter correlated with visual object and spatial perception battery performance (right and left, both p = 0.02), and performance (nonverbal) intelligence (WASI matrices, right, p = 0.04). NODDI provides tissue-specific microstructural metrics of white-matter tract damage in YOAD, including NDI which correlates with focal cognitive deficits, and APOEε4 status is associated with different patterns of white-matter neurodegeneration.
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spelling pubmed-55383472017-09-01 ApoE influences regional white-matter axonal density loss in Alzheimer's disease Slattery, Catherine F. Zhang, Jiaying Paterson, Ross W. Foulkes, Alexander J.M. Carton, Amelia Macpherson, Kirsty Mancini, Laura Thomas, David L. Modat, Marc Toussaint, Nicolas Cash, David M. Thornton, John S. Henley, Susie M.D. Crutch, Sebastian J. Alexander, Daniel C. Ourselin, Sebastien Fox, Nick C. Zhang, Hui Schott, Jonathan M. Neurobiol Aging Regular Article Mechanisms underlying phenotypic heterogeneity in young onset Alzheimer disease (YOAD) are poorly understood. We used diffusion tensor imaging and neurite orientation dispersion and density imaging (NODDI) with tract-based spatial statistics to investigate apolipoprotein (APOE) ε4 modulation of white-matter damage in 37 patients with YOAD (22, 59% APOE ε4 positive) and 23 age-matched controls. Correlation between neurite density index (NDI) and neuropsychological performance was assessed in 4 white-matter regions of interest. White-matter disruption was more widespread in ε4+ individuals but more focal (posterior predominant) in the absence of an ε4 allele. NODDI metrics indicate fractional anisotropy changes are underpinned by combinations of axonal loss and morphological change. Regional NDI in parieto-occipital white matter correlated with visual object and spatial perception battery performance (right and left, both p = 0.02), and performance (nonverbal) intelligence (WASI matrices, right, p = 0.04). NODDI provides tissue-specific microstructural metrics of white-matter tract damage in YOAD, including NDI which correlates with focal cognitive deficits, and APOEε4 status is associated with different patterns of white-matter neurodegeneration. Elsevier 2017-09 /pmc/articles/PMC5538347/ /pubmed/28578156 http://dx.doi.org/10.1016/j.neurobiolaging.2017.04.021 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Slattery, Catherine F.
Zhang, Jiaying
Paterson, Ross W.
Foulkes, Alexander J.M.
Carton, Amelia
Macpherson, Kirsty
Mancini, Laura
Thomas, David L.
Modat, Marc
Toussaint, Nicolas
Cash, David M.
Thornton, John S.
Henley, Susie M.D.
Crutch, Sebastian J.
Alexander, Daniel C.
Ourselin, Sebastien
Fox, Nick C.
Zhang, Hui
Schott, Jonathan M.
ApoE influences regional white-matter axonal density loss in Alzheimer's disease
title ApoE influences regional white-matter axonal density loss in Alzheimer's disease
title_full ApoE influences regional white-matter axonal density loss in Alzheimer's disease
title_fullStr ApoE influences regional white-matter axonal density loss in Alzheimer's disease
title_full_unstemmed ApoE influences regional white-matter axonal density loss in Alzheimer's disease
title_short ApoE influences regional white-matter axonal density loss in Alzheimer's disease
title_sort apoe influences regional white-matter axonal density loss in alzheimer's disease
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538347/
https://www.ncbi.nlm.nih.gov/pubmed/28578156
http://dx.doi.org/10.1016/j.neurobiolaging.2017.04.021
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