This research introduces the Geometric Eigenmode Model (GEM), a framework establishing that the physical shape and geometry of the brain fundamentally dictate its complex wiring patterns. By applying neural field theory, the authors demonstrate that the mammalian cortical connectome is organized to support resonant standing waves of activity, prioritizing connections that facilitate these natural geometric vibrations. This model accurately replicates the topological and topographical features of brain networks across five species, including humans, macaques, and mice. The findings suggest that these geometric constraints are a universal principle of brain architecture, remaining evolutionarily conserved for over 90 million years. Ultimately, the study reveals that the brain’s structural network is not a random map but a specialized system sculpted by its own anatomical dimensions.
References:
Normand F, Gajwani M, Cao T, et al. Geometric constraints on the architecture of mammalian cortical connectomes[J]. bioRxiv, 2025.

