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. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: Neuroimage. 2015 Nov 14;126:15–26. doi: 10.1016/j.neuroimage.2015.11.028

Table 2.

Prediction of Change in Fluid Intelligence from Baseline Regional Brain Volumes and Correlations between Fluid Intelligence and Regional Shrinkage, Adjusted for Covariates.

ΔGf
ROI Change predicted
 From Baseline		 p α ′ Change-Change
 Correlation		 p α ′
LPFC .129 (.139) .353 .084 (.171) .623.
PFw .214 (.080)* .008 .017 .346 (.121)* .004 .017
Hc .206 (.061)* .001 .017 −.151 (.136) .266
PhG .228 (.078)* .003 .017 −.005 (.150) .974
CbH .227 (.067)* .001 .017 −.060 (.093) .520
VC .102 (.096) .288 .033 (.123) .788

Note. The results are from the models fitted separately for each cognitive construct, with all covariates used for statistical control: age at baseline, socioeconomic status, APOE ε4 allele, and vascular risk.

Abbreviations: ROI = Region of Interest volumes; LPFC = Lateral Prefrontal Cortex; PFw = Prefrontal subcortical white mater; Hc = Hippocampus; PhG = Parahippocampal Gyrus; CbH = Cerebellar hemispheres; VC = (Primary) Visual Cortex; Gf = Fluid Intelligence. Δ prefix indicates change. All volumes were divided by 1000 prior to analyses (to avoid estimation and scaling problems). Probabilities are adjusted for false discovery rate using Benjamini-Hochberg correction (α′), with a nominal α=.05.