Over early fetal life the anterior brain, neuroepithelium, neural crest and facial ectoderm constitute a unitary, three-dimensional (3D) developmental process. This intimate embryological relationship between the face and brain means that facial dysmorphogenesis can serve as an accessible and informative index of brain dysmorphogenesis in neurological and psychiatric disorders of early developmental origin. There are three principal challenges in seeking to increase understanding of disorders of early brain dysmorphogenesis through craniofacial dysmorphogenesis: (i) the first, technical, challenge has been to digitize the facial surface in its inherent three-dimensionality;(ii) the second, analytical, challenge has been to develop methodologies for extracting biologically meaningful shape covariance from digitized samples, making statistical comparisons between groups and visualizing in 3D the resultant statistical models on a 'whole face' basis; (iii) the third, biological, challenge is to demonstrate a relationship between facial morphogenesis and brain morphogenesis not only in anatomical-embryological terms but also at the level of brain function. Here we consider each of these challenges in turn and then illustrate the issues by way of our own findings. These use human sexual dimorphism as an exemplar for 3D laser surface scanning of facial shape, analysis using geometric morphometrics and exploration of cognitive correlates of variation in shape of the 'whole face', in the context of studies relating to the early developmental origins of schizophrenia.

No abstract

No abstract

The regional variability of the modern human craniofacial form is of importance to debates about human origins. The study of craniofacial form has generally been carried out either by interlandmark distance measurement and analysis or by observation and character scoring. In this study of four modern human groups (Eskimo/Inuit, African, Australian, and Romano-British), nine craniofacial landmark coordinates were recorded by extraction from laser scans. The coordinates were studied by geometric morphometrics, and a regression analysis was used to investigate the dominant variability in shape within and between groups. Statistical tests of shape difference between groups were carried out. By these methods, the statistical patterns of shape variability and their geometric interpretations were studied on a common basis. The results were found to be in agreement with the classic studies of Howells ([1989:189] Pap Peabody Mus 79), and show the potential of this approach for future research.

No abstract