Skip to main content
. 2016 May 16;11(5):e0154406. doi: 10.1371/journal.pone.0154406

Fig 1. Receiver operating characteristic curves generated from logistic regression models of combined biomarkers for predicting conversions in cognitively normal control (NC) and mild cognitive impairment (MCI) groups.

Fig 1

(A) ROCs of model A, ADAS-cog TOTALMOD, 18F-FDG SUVR of posterior precuneus and parietal for conversion from NC to MCI. (B) ROCs of model B, ADAS-cog TOTALMOD, MMSE and 18F-FDG SUVR of posterior cingulate for conversion from MCI to AD. (C) ROCs of model C, MMSE, and 11C-PiB SUVR of medial temporal for conversion from MCI to AD. The logistic regression models: Model A: Logit(P) = 1.624+0.284*(ADAScogTOTALMOD)+7.832*FDG(PosPrecuneus)-17.957*FDG(Parietal); Model B: Logit(P) = 15.467+0.084*(ADAScogTOTALMOD)-0.553*(MMSE)-3.950*FDG(PosCingulate); Model C: Logit(P) = 3.847–0.634*(MMSE)+7.192*11C-PiB (MedTemporal). PosCingulate: posterior cingulate; PosPrecuneus: posterior precuneus; MedTemporal: mesial temporal cortex.