Cellular basis for cortical network aging in primates
Tsotras M, Charbonneau JA, Lepage C, Bennett JL, Veraart J, Evans AC, Bliss-Moreau E, Raven EP (accepted in principle)
Nature Communications
Large-scale brain networks are sensitive to change with aging and become dysregulated compared to their function in middle age. How these networks are altered at the cellular level remains unclear owing to challenges of bridging data across scales. Here, we integrate in vivo cortical similarity networks with whole brain spatial transcriptomics to characterize the aging brain in a lifespan cohort of macaques (N=64, ages 1–26 years). Deep-layer excitatory neurons and oligodendrocytes were the most prominent correlates of cortical similarity in descriptive cellular analyses. Age-related declines in network strength were most pronounced in transmodal networks e.g., frontoparietal, and aligned with regions enriched in inhibitory and glial cell types. Parvalbumin-enriched chandelier cells showed the strongest descriptive association with regional age-related change, suggesting a role in network dissimilarity. Cell-cell communication analysis identified distinct intercellular signaling roles for cell types in V1 and dlPFC, two regions at opposite ends of the brain aging profile. Cell type enrichment was conserved across species, with both human and macaque transcriptomic data aligning with the cortical functional hierarchy. These findings support a cellular basis for cortical network aging and highlight the value of imaging-transcriptomic integration across scales.