“…Brain‐age prediction was used to derive estimates of global brain aging, which was analyzed in relation to number of previous (live) childbirths in 8,880 newly added UK Biobank participants. Brain‐age prediction is commonly used to estimate an individual's age based on their brain characteristics (Cole & Franke, 2017), and individual variation in “brain age” estimates has been associated with a range of clinical and biological factors (Cole, 2020; Cole et al, 2017, 2018; Cole & Franke, 2017; Cole, Marioni, Harris, & Deary, 2019; de Lange, Anatürk, et al, 2020; de Lange, Barth, et al, 2020; Franke & Gaser, 2019; Kaufmann et al, 2019; Smith, Vidaurre, Alfaro‐Almagro, Nichols, & Miller, 2019). As compared to MRI‐derived measures such as cortical volume or thickness, brain‐age prediction adds a dimension by capturing deviations from normative aging trajectories identified by machine learning.…”