Intrinsic Functional Boundaries of Lateral Frontal Cortex in the Common Marmoset Monkey

• Published in: The Journal of neuroscience Vol. 39; no. 6; pp. 1020 - 1029
• Main Authors: Schaeffer, David J, Gilbert, Kyle M, Gati, Joseph S, Menon, Ravi S, Everling, Stefan
• Format: Journal Article
• Language: English
• Published: United States Society for Neuroscience 06.02.2019
• Subjects: Anesthesia; Animals; Boundaries; Brain; Brain mapping; Callithrix - physiology; Cluster Analysis; Clustering; Consonants (speech); Cortex (frontal); Ecstasy; Electromagnetic Radiation; Female; Females; Functional magnetic resonance imaging; Image Processing, Computer-Assisted; Magnetic resonance imaging; Magnetic Resonance Imaging - instrumentation; Magnetic Resonance Imaging - methods; Male; Males; Mental disorders; Neural networks; Neural Pathways - anatomy & histology; Neural Pathways - physiology; Neuroimaging; Prefrontal cortex; Prefrontal Cortex - anatomy & histology; Prefrontal Cortex - physiology; Primates; Subdivisions; marmoset; resting-state fMRI; ultra-high field; lateral frontal cortex
• ISSN: 0270-6474; 1529-2401
• DOI: 10.1523/jneurosci.2595-18.2018

The common marmoset ( ) is a small New World primate species that has been recently targeted as a potentially powerful preclinical model of human prefrontal cortex dysfunction. Although the structural boundaries of frontal cortex were described in marmosets at the start of the 20th century (Brodmann, 1909) and refined more recently (Paxinos et al., 2012), the broad functional boundaries of marmoset frontal cortex have yet to be established. In this study, we sought to functionally derive boundaries of the marmoset lateral frontal cortex (LFC) using ultra-high field (9.4 T) resting-state functional magnetic resonance imaging (RS-fMRI). We collected RS-fMRI data in seven (four females, three males) lightly anesthetized marmosets and used a data-driven hierarchical clustering approach to derive subdivisions of the LFC based on intrinsic functional connectivity. We then conducted seed-based analyses to assess the functional connectivity between these clusters and the rest of the brain. The results demonstrated seven distinct functional clusters within the LFC. The functional connectivity patterns of these clusters with the rest of the brain were also found to be distinct and organized along a rostrocaudal gradient, consonant with those found in humans and macaques. Overall, these results support the view that marmosets are a promising preclinical modeling species for studying LFC dysfunction related to neuropsychiatric or neurodegenerative human brain diseases. The common marmoset is a New World primate that has garnered recent attention as a powerful complement to canonical Old World primate (e.g., macaques) and rodent models (e.g., rats, mice) for preclinical modeling of the human brain in healthy and diseased states. A critical step in the development of marmosets for such models is to characterize functional network topologies of frontal cortex in healthy, normally functioning marmosets, that is, how these circuitries are functionally divided and how those topologies compare to human circuitry. To our knowledge, this is the first study to demonstrate functional boundaries of the lateral frontal cortex and the corresponding network topologies in marmoset monkeys.