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[Preprint]. 2024 Jun 24:2023.05.29.542742. Originally published 2023 May 30. [Version 4] doi: 10.1101/2023.05.29.542742

Fig. 1. Meta-analyses reveal study design features that are associated with larger standardized effect sizes (ESs) of age on different brain measures.

Fig. 1.

(a-d) Partial regression plots of the meta-analyses of standardized ESs (RESI) for the association between age and global brain measures (a) total gray matter volume (GMV), (b) total subcortical gray matter volume (sGMV), (c) total white matter volume (WMV), and (d) mean cortical thickness (CT) (“| Other” means after fixing the other features at constant levels: design = cross-sectional, mean age = 45 years, sample age SD = 7 and/or skewness of age = 0 (symmetric)) show that standardized ESs vary with respect to the mean and SD of age in each study. The blue curves are the expected standardized ESs for age from the locally estimated scatterplot smoothing (LOESS) curves. The gray areas are the 95% confidence bands from the LOESS curves. (e-f) The effects of study design features on the standardized ESs for the associations between age and regional brain measures (regional GMV and CT). Regions with Benjamini-Hochberg adjusted p-values<0.05 are shown in color.