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Facial Dysmorphology in Children with Intellectual and Developmental Disabilities

Principal Investigator:
Griffin
Rooker

Recent literature has demonstrated an association between autism spectrum disorders and characteristic dysmorphologies of the face and brain. The current study extends this line of investigation by analyzing the associaton of facial dysmorphology with demographic, behavioral and treatment measures derived from patients of the inpatient Neurobehavioral Unit at the Kennedy Krieger Institute. Morphometric analysis will involve capturing images of the participants using a 3dMD camera, then recreating the image in three dimensional space on the computer.

Three-dimensional locations of biological landmarks will be located on each 3dMD photograph and their coordinates will be written to a file. From samples of 3D landmark data, the mean shapes and variance covariance matrices for the participants will be calculated using Euclidean Distance Matrix Analysis. Euclidean Distance Matrix Analysis was specifically developed for the statistical analysis of shape change in 3D. Correlational analyses will relate the degree of facial dysmorphology (i.e. deviations from the norm) to a variety of the demographic, diagnostic, and behavioral variables.

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