Precision fMRI reveals densely interdigitated network patches with conserved motifs in the lateral prefrontal cortex.

Precision fMRI reveals that individual human LPFC networks are fragmented, interdigitated, and contain conserved motifs not visible in group-averaged data.

• Why it matters: Understanding the detailed organization of the LPFC is crucial because existing models based on group data may overlook fine-scale features, limiting insights into individual brain function and variability.
• What they did: Researchers collected approximately 2 hours of resting-state and 6 hours of task fMRI data from 10 individuals, mapping their LPFC networks and testing functional preferences across tasks.
• The result: Findings show that individual LPFC networks exhibit sharp boundaries and conserved motifs, supporting domain-specific and domain-general processes, which enhances understanding of fine-scale cortical organization.