Prefrontal connectomics: from anatomy to human imaging

• Published in: Neuropsychopharmacology (New York, N.Y.) Vol. 47; no. 1; pp. 20 - 40
• Main Authors: Haber, Suzanne N, Liu, Hesheng, Seidlitz, Jakob, Bullmore, Ed
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 01-01-2022; Springer International Publishing
• Subjects: Animals; Brain - anatomy & histology; Cognition; Connectome - methods; Humans; Information processing; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Nerve Net; Neural networks; Neural Pathways; Neuroimaging; Neuroimaging - methods; Prefrontal cortex; Prefrontal Cortex - diagnostic imaging; Review; Structure-function relationships
• ISSN: 0893-133X; 1740-634X
• DOI: 10.1038/s41386-021-01156-6

The fundamental importance of prefrontal cortical connectivity to information processing and, therefore, disorders of cognition, emotion, and behavior has been recognized for decades. Anatomic tracing studies in animals have formed the basis for delineating the direct monosynaptic connectivity, from cells of origin, through axon trajectories, to synaptic terminals. Advances in neuroimaging combined with network science have taken the lead in developing complex wiring diagrams or connectomes of the human brain. A key question is how well these magnetic resonance imaging (MRI)-derived networks and hubs reflect the anatomic "hard wiring" first proposed to underlie the distribution of information for large-scale network interactions. In this review, we address this challenge by focusing on what is known about monosynaptic prefrontal cortical connections in non-human primates and how this compares to MRI-derived measurements of network organization in humans. First, we outline the anatomic cortical connections and pathways for each prefrontal cortex (PFC) region. We then review the available MRI-based techniques for indirectly measuring structural and functional connectivity, and introduce graph theoretical methods for analysis of hubs, modules, and topologically integrative features of the connectome. Finally, we bring these two approaches together, using specific examples, to demonstrate how monosynaptic connections, demonstrated by tract-tracing studies, can directly inform understanding of the composition of PFC nodes and hubs, and the edges or pathways that connect PFC to cortical and subcortical areas.