Principal axes analysis was used to provide bias free measures of size of each brain structure. Principal axes analysis has been used for brain image registration (Alpert et al. 1990 (link); Toga and Banerjee 1993 (link); Schormann and Zilles 1997 (link)) and as a tool to support brain structure classification (Mangin et al. 2004 (link)a). The principal axes analysis software is available as a plug-in application for Mango (Lancaster, Martinez; www.ric.uthscsa.edu/Mango/plugins.html ). This plug-in application tabulates volume, geometric center, eigenvectors, and eigenvalues for Mango defined ROIs. Three linear distances were formulated as the square root of eigenvalues, one for each principal axis. Linear distances calculated in this manner are average distances from the center of an ROI to its surface for each of the three principal directions.
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Principal Axes Analysis for Brain Imaging
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Corresponding Organization : The University of Texas Health Science Center at San Antonio
Other organizations : Brain Mapping Foundation, Jülich Aachen Research Alliance
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Variable analysis
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- Volume, geometric center, eigenvectors, and eigenvalues for Mango defined ROIs. Three linear distances were formulated as the square root of eigenvalues, one for each principal axis.
- Not explicitly mentioned
- No positive or negative controls were specified by the authors.
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