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Scientists at the University of Valencia have developed a research methodology called Anatomical Network Analysis (AnNA), based on network analysis mathematical tools for studying anatomy. Courtesy of Asociación RUVIDA new mathematical analysis tool has allowed a deeper understanding of the anatomy of the human head, describing the skull as an extended network structured in 10 modules. Researchers have developed a research methodology called Anatomical Network Analysis (AnNA), based on network analysis mathematical tools for studying anatomy. Thanks to the high degree of abstraction of AnNa, researchers have been able to conduct several studies of both the human skeleton and of the rest of terrestrial vertebrates, especially as regards the development and evolution of the skull.

The mathematical method has been developed over the last six years, as a result of the findings of the doctoral thesis by Borja Altava Esteve, by the Theoretical Biology Group at the Cavanilles Institute of Biodiversity and Evolutionary Biology of the University of Valencia, under the supervision of Diego Rasskin Gutman. The results of the study have been published in the latest issue of the Scientific Reports journal, published by Nature. The Faculty of Medicine at Howard University in Washington D.C. (USA) and the University of Saskatchewan (Canada) also collaborated in the study by contributing muscular data.

Integration of Muscles and Cartilages

For the first time, the Theoretical Biology Group added the head muscles and cartilages to the study of the skull bones (including the inner ear bones, the jaw and the bones that connect with head muscles, such as cervical vertebrae and clavicles). This way, "we found that when analyzing the head as a complex system defined by 181 nodes — including bones, muscles and cartilage, and excluding superficial muscles — and 412 physical contacts — sutures and cartilaginous joints —  the system can be subdivided into 10 well-defined modules," explains Diego Rasskin.

Prior to publication of this article, the applications of AnNa focused exclusively on bones. As Rasskin explains, each skull "generated a network model in which each bone was represented as the network node and each physical articulation (contact), as a connection. Thus, each skull was modelled as a 0-1 matrix with each connection being a 1. This matrix served to analyze the network attributes, which could, in turn, be compared to other generic network properties."

Developmental Semi-independence

One of the important findings of this research is that the functional and developmental dependences of the head as a whole cannot be separated, but are coupled in the 10 modules described in the paper. "This modular structure allows each module to evolve semi-independently, i.e., changes in one of them has a minimal effect on others," says Rasskin.

By using AnNa, which enables the analysis of bones and muscles at the same time, new cranial functional dependences have been uncovered, because muscles — associated to movements — link separate bones. For example, as the researcher points out, the lower jaw / inner ear module shows dependences between bones associated with masticatory muscles and which would not associate otherwise (jaw to parietal, temporal and occipital) as well as inner ear bones.

Moreover, muscle modules "show left/right independence of orofacial muscles (mouth and face) from the upper face muscles. This allows greater flexibility in facial expression for we are able to move facial muscles on either side separately," he explains.

Citation: Borja Esteve-Altava, Rui Diogo, Christopher Smith, Julia C. Boughner, Diego Rasskin-Gutman. Anatomical networks reveal the musculoskeletal modularity of the human head. Scientific Reports, 2015; 5: 8298 DOI: 10.1038/srep08298

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