The neuroanatomical organization of the hypothalamus is driven by spatial and topological efficiency

TL;DR

The hypothalamus organizes itself based on efficiency in both spatial arrangement and network connectivity.

Contribution

The study shows that the hypothalamus balances spatial and topological efficiency in its anatomical organization.

Findings

The sum of distances between hypothalamic sub-regions is not minimal but becomes highly efficient when weighted by connectivity strength.

The hypothalamus achieves topological efficiency comparable to optimized random configurations.

Both spatial and network-based constraints shape the organization of the hypothalamus.

Abstract

The hypothalamus in the mammalian brain is responsible for regulating functions associated with survival and reproduction representing a complex set of highly interconnected, yet anatomically and functionally distinct, sub-regions. It remains unclear what factors drive the spatial organization of sub-regions within the hypothalamus. One potential factor may be structural connectivity of the network that promotes efficient function with well-connected sub-regions placed closer together geometrically, i.e., the strongest axonal signal transferred through the shortest geometrical distance. To empirically test for such efficiency, we use hypothalamic data derived from the Allen Mouse Brain Connectivity Atlas, which provides a structural connectivity map of mouse brain regions derived from a series of viral tracing experiments. Using both cost function minimization and comparison with a weighted, sphere-packing ensemble, we demonstrate that the sum of the distances between hypothalamic sub-regions are not close to the minimum possible distance, consistent with prior whole brain studies. However, if such distances are weighted by the inverse of the magnitude of the connectivity, their sum is among the lowest possible values. Specifically, the hypothalamus appears within the top 94th percentile of neural efficiencies of randomly packed configurations and within one standard deviation of the median efficiency when packings are optimized for maximal neural efficiency. Our results, therefore, indicate that a combination of geometrical and topological constraints help govern the structure of the hypothalamus.

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