“…Meta-analytic connectivity modeling (MACM) has emerged as a useful tool for characterizing whole-brain networks co-activating with an individual brain region of interest (ROI) across various task domains (Laird et al, 2009a; Robinson, Laird, Glahn, Lovallo, & Fox, 2010; Eickhoff et al, 2010; Riedel et al, 2015). Extending this framework beyond a single isolated network co-activating with an individual seed ROI, a recent meta-analytic methodology leverages clustering techniques to characterize the recruitment of multiple, distinct networks across groups of studies (Laird et al, 2015). That previous work applied clustering techniques to modeled activation images associated with experiments within a heterogeneous task domain (i.e., facial processing; Laird et al, 2015), as opposed to clustering voxels within a user-defined ROI (connectivity-based parcellation; Neumann, von Cramon, & Lohmann, 2008; Cauda et al, 2012; Bzdok et al, 2015; Balsters, Mantini, Apps, Eickhoff, & Wenderoth, 2016).…”