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Updated: Jul 6, 2026

Systematic Assessment of Mammalian Skull Specimens for Dental and Temporomandibular Joint Pathology
Published on: August 22, 2022
Growth-related changes in prehistoric Jomon and modern Japanese mandibles with emphasis on cortical bone distribution
1Department of Biological Science, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan. fukase@um.u-tokyo.ac.jp
Abstract:
Cortical bone distribution of the anthropoid mandibular symphysis has been addressed in relation to mechanical stress generated by mastication. To examine whether or not bone mass and distribution patterns of the human mandibular symphysis could be interpreted as an example of functional adaptation, we compared the skeletal growth series of two populations, prehistoric Jomon, considered to represent a "robust" mandibular morphology associated with a presumed heavier masticatory load, and modern Japanese. Results showed that the adult Jomon symphysis possessed significantly greater bone mass and thicker cortical bone compared to the modern Japanese condition. However, the second moments of area did not differ significantly between the two, indicating comparable rigidity against bending. Furthermore, the Jomon mandibles of the infant to juvenile stages exhibited most of the adult characteristics, in both bone mass/distribution of the symphysis and in mandibular corpus/ramus morphologies. The present study also demonstrated the presence of a growth pattern of symphyseal cortical thickness, common to both the Jomon and the modern Japanese series. In both populations, subsequent to deciduous molar occlusion, cortical bone tends to be thickest at the inferolingual symphysis, at the location where the highest tensile stresses presumably occur during mastication. These findings suggest that the "robust" characteristics of the Jomon mandible are initially manifested early in development, and that the effect of mechanical stimulus to bone mass formation in the human symphysis is largely confined to a regulatory role during growth modeling.
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