http://www.nitrc.org/forum/forum.php?forum_id=5861 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>Identifying Activation Centers with Spatial Cox Point Processes Using FMRI Data.</b></p> <p>IEEE/ACM Trans Comput Biol Bioinform. 2015 Dec 17;</p> <p>Authors: Ray M, Kang J, Zhang H</p> <p>Abstract<br/> We developed a Bayesian clustering method to identify significant regions of brain activation. Coordinate-based meta data originating from functional magnetic resonance imaging (fMRI) were of primary interest. Individual fMRI has the ability to measure the intensity of blood flow and oxygen to a location within the brain that was activated by a given thought or emotion. The proposed method performed clustering on two levels, latent foci center and study activation center, with a spatial Cox point process utilizing the Dirichlet process to describe the distribution of foci. Intensity was modeled as a function of distance between the focus and the center of the cluster of foci using a Gaussian kernel. Simulation studies were conducted to evaluate the sensitivity and robustness of the method with respect to cluster identification and underlying data distributions. We applied the method to a meta data set to identify emotion foci centers.<br/> </p><p>PMID: 26701895 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Mon, 04 May 2026 13:51:37 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator