Badre and D'Esposito have designed a set of tasks requiring increasingly abstract representations, each level requiring the classing of representations at the next subordinate level. They find a systematic posterior to anterior gradient of activity with the prefrontal cortex depending on the manipulated level of representation. Here is their abstract and a figure from the paper:
The prefrontal cortex (PFC) is central to flexible and organized action. Recent theoretical and empirical results suggest that the rostro-caudal (head to tail) axis of the frontal lobes may reflect a hierarchical organization of control. Here, we test whether the rostro-caudal axis of the PFC is organized hierarchically, based on the level of abstraction at which multiple representations compete to guide selection of action. Four functional magnetic resonance imaging (fMRI) experiments parametrically manipulated the set of task-relevant (a) competing responses, (b) competing features, (c) competing dimensions, and (d) overlapping cue-to-dimension mappings. A systematic posterior to anterior gradient was evident within the PFC depending on the manipulated level of representation. Furthermore, across four fMRI experiments, activation in PFC subregions was consistent with the sub- and superordinate relationships that define an abstract representational hierarchy. In addition to providing further support for a representational hierarchy account of the rostro-caudal gradient in the PFC, these data provide important empirical constraints on current theorizing about control hierarchies and the PFC.
Figure (click to enlarge) - Whole-brain analysis of parametric effect across the four experiments. A rostro-caudal gradient was evident as the level of abstraction increased. Specifically, response competition activated the PMd (A), feature competition activated the pre-PMd (B), dimension competition activated the IFS (C), and context competition activated the FPC (D). Graphs from ROI analyses for the PMd, pre-PMd, and IFS depict the integrated peak signal, whereas analysis of the frontal pole depicts the mean percent signal change over the entire block. Graphs from ROI analyses for PMd, pre-PMd, and IFS depict the integrated peak signal for each parametric level in each experiment (C = Context, D = Dimension, F = Feature, and R = Response). Bars for FPC depict the mean percent signal change over the entire block.