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. © 2012 Ziegler, Dahnke, and Gaser.
CITATION STYLE
Ziegler, G., Dahnke, R., & Gaser, C. (2012). Models of the aging brain structure and individual decline. Frontiers in Neuroinformatics, 6(MARCH). https://doi.org/10.3389/fninf.2012.00003
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