Publications
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Brain Atlases of Normal and Diseased Populations
Source: 2005 Dec;66:1-54.
Author: Toga AW, Thompson PM.
Abstract:
Human beings are highly diverse. The ability to statistically and visually compare brain-image data from multiple individuals is essential for the understanding of normal variability within a particular population as well as for the differentiation of normal populations from diseased. This chapter introduces the use of brain atlases to describe specific subpopulations, measure their variability, and characterize the structural differences between them. We describe extension to the atlas concept to enable comparisons with other data, to act as a framework for other studies, and to provide database-like features. Utilizing data from structural MRIs, we have built atlases with defined coordinate systems, creating a framework to map data from functional, histological, and other studies of the same population. This paper describes the basic approach to the calculation of atlases and the underlying mathmatical constructs that enable it. We include examples of atlas results from various normal and diseased populations.
Source: 2005 Dec;66:1-54.
Author: Toga AW, Thompson PM.
Abstract:
Human beings are highly diverse. The ability to statistically and visually compare brain-image data from multiple individuals is essential for the understanding of normal variability within a particular population as well as for the differentiation of normal populations from diseased. This chapter introduces the use of brain atlases to describe specific subpopulations, measure their variability, and characterize the structural differences between them. We describe extension to the atlas concept to enable comparisons with other data, to act as a framework for other studies, and to provide database-like features. Utilizing data from structural MRIs, we have built atlases with defined coordinate systems, creating a framework to map data from functional, histological, and other studies of the same population. This paper describes the basic approach to the calculation of atlases and the underlying mathmatical constructs that enable it. We include examples of atlas results from various normal and diseased populations.