Publications
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Analyzing Functional Brain Images in a Probabilistic Atlas: A Validation of Sub-Volume Thresholding
Source: JCAT 2000;24(1):128-138.
Author: Dinov, I.D., Mega, M.S., Thompson, P.M., Lee, L., Woods, R.P., Holmes, C., Sumners, D.W., Toga, A.W.
Abstract:
The development of structural probabilistic brain atlases provides the framework for new analytic methods capable of combining anatomic information with the statistical mapping of functional brain data. Approaches for statistical mapping that utilize information about the anatomic variability and registration errors of a populaÂtion within the Talairach atlas space will enhance our understanding of the interplay between human brain structure and function.
Source: JCAT 2000;24(1):128-138.
Author: Dinov, I.D., Mega, M.S., Thompson, P.M., Lee, L., Woods, R.P., Holmes, C., Sumners, D.W., Toga, A.W.
Abstract:
The development of structural probabilistic brain atlases provides the framework for new analytic methods capable of combining anatomic information with the statistical mapping of functional brain data. Approaches for statistical mapping that utilize information about the anatomic variability and registration errors of a populaÂtion within the Talairach atlas space will enhance our understanding of the interplay between human brain structure and function.