Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782226719633047552 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3303090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zieglergabriel modelsoftheagingbrainstructureandindividualdecline AT dahnkerobert modelsoftheagingbrainstructureandindividualdecline AT gaserchristian modelsoftheagingbrainstructureandindividualdecline AT modelsoftheagingbrainstructureandindividualdecline |