An inclusive anatomical network analysis of human craniocerebral topology
The human brain's complex morphology is spatially constrained by numerous intrinsic and extrinsic physical interactions. Spatial constraints help to identify the source of morphological variability and can be investigated by employing anatomical network analysis. Here, a model of human cranioce...
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Veröffentlicht in: | Journal of anatomy 2024-11, Vol.245 (5), p.686-698 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The human brain's complex morphology is spatially constrained by numerous intrinsic and extrinsic physical interactions. Spatial constraints help to identify the source of morphological variability and can be investigated by employing anatomical network analysis. Here, a model of human craniocerebral topology is presented, based on the bony elements of the skull at birth and a previously designed model of the brain. The goal was to investigate the topological components fundamental to the craniocerebral geometric balance, to identify underlying phenotypic patterns of spatial arrangement, and to understand how these patterns might have influenced the evolution of human brain morphology. Analysis of the craniocerebral network model revealed that the combined structure of the body and lesser wings of the sphenoid bone, the parahippocampal gyrus, and the parietal and ethmoid bones are susceptible to sustain and apply major spatial constraints that are likely to limit or channel their morphological evolution. The results also showcase a high level of global integration and efficient diffusion of biomechanical forces across the craniocerebral system, a fundamental aspect of morphological variability in terms of plasticity. Finally, community detection in the craniocerebral system highlights the concurrence of a longitudinal and a vertical modular partition. The former reflects the distinct morphogenetic environments of the three endocranial fossae, while the latter corresponds to those of the basicranium and calvaria.
An anatomical network model of the human brain and skull is presented, as to localise key regions in the system's geometric balance, to identify phenotypic patterns of spatial arrangement, and to understand the influence of these patterns in the evolution of brain morphology. Results reveal the topological relevance of the components that act as intermediaries between the soft and hard tissues of the head, as well as a modular partition that reflects the morphological organisation of the skull. |
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ISSN: | 0021-8782 1469-7580 1469-7580 |
DOI: | 10.1111/joa.14068 |