Large-Scale Network Embedding Predicts Opposing Functions of Adjacent Regions Within Human Prefrontal Cortex

Researchers have discovered that adjacent regions within the human prefrontal cortex perform opposing functions, as predicted by their positioning within distinct parallel networks. Utilizing precision functional MRI, the study examined three separate cohorts of participants who underwent extensive brain scans.

Two regions of interest were identified: a lateral prefrontal cortex (LPFC) region associated with a canonical control network, and a nearby rostral LPFC region linked to an action-mode network. Despite their spatial proximity, these two areas exhibited differential coupling to other brain regions. The LPFC involved in the canonical control network showed reduced activity during working memory tasks, while the adjacent LPFC linked to the action-mode network showed increased activity.

Functional MRI scans also revealed striking results during go and no-go trials in target detection tasks. The canonical LPFC control region exhibited heightened activity when responses were intentionally withheld, while the putamen-coupled LPFC region demonstrated increased activity when responses were executed. These findings demonstrate that adjacent LPFC regions are engaged in opposing functions, suggesting that they reside within separate parallel networks.

The study's results provide strong evidence for the hierarchical organization of the prefrontal cortex into distinct networks, each with unique roles in cognitive control and behavior. The findings may have implications for understanding various neurological and psychiatric disorders associated with prefrontal cortex dysfunction.