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. Author manuscript; available in PMC: 2015 Feb 10.
Published in final edited form as: Neuroimage. 2009 Oct 21;49(3):2318–2327. doi: 10.1016/j.neuroimage.2009.10.032

Figure 3.

Figure 3

The dashed curve plots the likelihood ratio lnp(fi=1∣AD,T)p(fi=1∣NC,T) of feature occurrence in AD vs. NC subjects sorted in ascending order, low values indicate features associated with NC subjects (lower left) and high values indicate features associated with AD subjects (upper right). The solid curve plots feature occurrence probability p(fi = 1|T), which is proportional to the cardinality of model feature clusters identified during learning. Note a large number of frequently-occurring features bear little information regarding AD or NC (center of graph). Examples of highly NC-related (1-3) and AD-related (a-c) features are shown, along with their associated likelihood ratios.