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Models of the Aging Brain Structure and Individual Decline

The aging brain’s structural development constitutes a spatiotemporal process that is accessible by MR-based computational morphometry. Here we introduce basic concepts and analytical approaches to quantify age-related differences and changes in neuroanatomical images of the human brain. The present...

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Detalles Bibliográficos
Autores principales: Ziegler, Gabriel, Dahnke, Robert, Gaser, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303090/
https://www.ncbi.nlm.nih.gov/pubmed/22435060
http://dx.doi.org/10.3389/fninf.2012.00003
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author Ziegler, Gabriel
Dahnke, Robert
Gaser, Christian
author_facet Ziegler, Gabriel
Dahnke, Robert
Gaser, Christian
author_sort Ziegler, Gabriel
collection PubMed
description The aging brain’s structural development constitutes a spatiotemporal process that is accessible by MR-based computational morphometry. Here we introduce basic concepts and analytical approaches to quantify age-related differences and changes in neuroanatomical images of the human brain. The presented models first address the estimation of age trajectories, then we consider inter-individual variations of structural decline, using a repeated measures design. We concentrate our overview on preprocessed neuroanatomical images of the human brain to facilitate practical applications to diverse voxel- and surface-based structural markers. Together these methods afford analysis of aging brain structure in relation to behavioral, health, or cognitive parameters.
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spelling pubmed-33030902012-03-20 Models of the Aging Brain Structure and Individual Decline Ziegler, Gabriel Dahnke, Robert Gaser, Christian Front Neuroinform Neuroinformatics The aging brain’s structural development constitutes a spatiotemporal process that is accessible by MR-based computational morphometry. Here we introduce basic concepts and analytical approaches to quantify age-related differences and changes in neuroanatomical images of the human brain. The presented models first address the estimation of age trajectories, then we consider inter-individual variations of structural decline, using a repeated measures design. We concentrate our overview on preprocessed neuroanatomical images of the human brain to facilitate practical applications to diverse voxel- and surface-based structural markers. Together these methods afford analysis of aging brain structure in relation to behavioral, health, or cognitive parameters. Frontiers Research Foundation 2012-03-14 /pmc/articles/PMC3303090/ /pubmed/22435060 http://dx.doi.org/10.3389/fninf.2012.00003 Text en Copyright © 2012 Ziegler, Dahnke, Gaser. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Neuroinformatics
Ziegler, Gabriel
Dahnke, Robert
Gaser, Christian
Models of the Aging Brain Structure and Individual Decline
title Models of the Aging Brain Structure and Individual Decline
title_full Models of the Aging Brain Structure and Individual Decline
title_fullStr Models of the Aging Brain Structure and Individual Decline
title_full_unstemmed Models of the Aging Brain Structure and Individual Decline
title_short Models of the Aging Brain Structure and Individual Decline
title_sort models of the aging brain structure and individual decline
topic Neuroinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303090/
https://www.ncbi.nlm.nih.gov/pubmed/22435060
http://dx.doi.org/10.3389/fninf.2012.00003
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