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. Author manuscript; available in PMC: 2011 Oct 21.
Published in final edited form as: Neurobiol Aging. 2010 Jun 8;31(8):1326–1339. doi: 10.1016/j.neurobiolaging.2010.04.006

Figure 3.

Figure 3

3D maps show areas where regional brain tissue volumes were significantly associated with BMI in AD and MCI subjects (pooled together) from the CHS and ADNI cohorts (N=700). In the significant areas, the regression coefficients (unstandardized beta values) are shown at each voxel for the CHS subjects (top row; N=113, critical uncorrected P-value: 0.0062) and ADNI subjects (bottom row; N=587, critical uncorrected P-value: 0.025). These represent the estimated degree of tissue excess or deficit at each voxel, as a percentage, for every unit increase in BMI, after statistically controlling for effects age, sex, and education on brain structure. They can be considered as the slope of best fitting line relating tissue deficits to BMI. Images are in radiological convention (left side of the brain shown on the right) and are displayed on a specially constructed average brain template created from the subjects within each cohort (mean deformation template, MDT).

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