A quantitative approach for analysing bone modelling patterns from craniofacial surfaces in hominins

Area of Science:

• Paleoanthropology
• Developmental Biology
• Bioarchaeology

Background:

• Bone size and shape result from osteoblast and osteoclast activity during growth.
• Craniofacial microstructural features reveal bone modeling, but fossil analysis is hindered by data loss and lack of quantitative methods.
• Existing methods struggle with taphonomic damage and comparing bone modeling patterns across multiple samples.

Purpose of the Study:

• To develop a novel quantitative approach for analyzing bone formation and resorption patterns on craniofacial surfaces.
• To address challenges in analyzing fossil and archaeological bone samples, particularly missing data due to taphonomic factors.
• To enable robust comparisons of bone modeling patterns among diverse specimens and samples.

Main Methods:

• Utilized spatial interpolation techniques to estimate missing data on high-resolution replicas of the human maxilla.
• Assessed the performance of interpolation by simulating varying amounts of data loss.
• Applied measures of dispersion and central tendency to quantify bone modeling variation within samples.

Main Results:

• Spatial interpolation provided reliable estimations of bone deposition and resorption activity, even with significant surface loss.
• The quantitative method successfully integrated histological data from multiple specimens.
• Identified areas of high and low variation in maxillary bone modeling patterns across the sample.

Conclusions:

• The developed quantitative approach offers a replicable method for reconstructing bone modeling patterns.
• This technique effectively incorporates inter-specimen variation, facilitating more accurate comparisons.
• The approach enhances the study of craniofacial development and evolution in both extant and extinct species.