DocumentCode
471841
Title
Predicting Neuropsychological Development from Skull Imaging
Author
Lin, H.J. ; Ruiz-Correa, S. ; Shapiro, L.G. ; Speltz, M.L. ; Cunningham, M.L. ; Sze, R.W.
Author_Institution
Dept. of Med. Educ. & Biomed. Informatics, Univ. of Washington
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
3450
Lastpage
3455
Abstract
Craniosynostosis is a serious and common pediatric disease caused by the premature fusion of sutures of the skull. Although studies have shown an increase in risk for cognitive deficits in patients with isolated craniosynostosis, the causal basis for this association is still unclear. It is hypothesized that an abnormally shaped skull produces a secondary deformation of the brain that results in the disruption of normal neuropsychological development. In this paper, we conduct a comparative analysis of our newly developed shape descriptors in an attempt to understand the impact of skull deformations on neurobehavior. In particular, we show that our scaphocephaly severity indices and symbolic shape signatures are predictive of mental ability and psychomotor functions, respectively, which suggests the possibility that secondary deformation could influence neuro-developmental status
Keywords
biomechanics; biomedical imaging; bone; brain; cognition; diseases; neurophysiology; psychology; abnormally shaped skull; cognitive deficits; craniosynostosis; mental ability; neurobehavior; neuropsychological development; pediatric disease; premature fusion; psychomotor function; scaphocephaly severity indices; secondary brain deformation; shape descriptors; skull deformation; skull imaging; symbolic shape signature; Biomedical imaging; Cities and towns; Computed tomography; Diseases; Medical diagnostic imaging; Pediatrics; Psychology; Shape; Skull; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.260321
Filename
4462539
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