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. 2019 Feb 22;11:170–179. doi: 10.1016/j.dadm.2018.12.010

Fig. 4.

Fig. 4

Association between WM/EF and brain morphometry. Scatterplots showing regression lines from significant brain morphometric predictors of cognitive factors derived from factor analysis. Volume variables are in the form of mm3, thickness variables are in the form of cm, and cognitive factors are in the form of predicted z scores (from significant regression models). Blue dots and line represent EHC group; green dots and line represent MCI; red dots and line represent AD. Values on cognitive speed (seconds to complete TMT-A and TMT-B tasks) have been inverted to represent higher positive score with better performance. (A) Scatterplot of global gray matter volume as a significant predictor of cognitive speed (t = 5.13, P < .0001). (B) Scatterplot of superior frontal thickness as a significant predictor of cognitive speed (t = 3.04, P = .003). (C) Scatterplot of gray matter volume as a significant predictor of executive function (t = 4.10, P < .0001). (D) Scatterplot of rostral middle frontal thickness as a significant predictor of executive function (t = 3.04, P < .003). (E) Scatterplot of white matter hypointensities as a significant predictor of cognitive speed (t = −4.54, P < .0001). (F) Scatterplot of white matter hypointensities as a significant predictor of executive function (t = −4.10, P = .005). (G) Scatterplot of caudal anterior cingulate white matter volume as a significant predictor of executive function (t = 2.54, P = .01).