Predictive Value of Morphological Features in Patients with Autism versus Normal Controls
| Autor: | Gerhard Hellemann, M. V. de Jonge, Frits A. Beemer, Heval Ozgen, H. van Engeland |
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| Rok vydání: | 2012 |
| Předmět: |
Morphology
Male medicine.medical_specialty Adolescent Autism Predictive value Recursive partitioning Common variant Audiology Minor anomaly Developmental psychology Developmental and Educational Psychology medicine Humans ROC Forehead Minor physical anomalies Asperger Syndrome Autistic Disorder Child Original Paper medicine.disease Endophenotype medicine.anatomical_structure ROC Curve Schizophrenia Asperger syndrome Case-Control Studies Child Preschool Face Female Psychology Facial symmetry |
| Zdroj: | Journal of Autism and Developmental Disorders |
| ISSN: | 1573-3432 0162-3257 |
| DOI: | 10.1007/s10803-012-1554-4 |
| Popis: | We investigated the predictive power of morphological features in 224 autistic patients and 224 matched-pairs controls. To assess the relationship between the morphological features and autism, we used the receiver operator curves (ROC). In addition, we used recursive partitioning (RP) to determine a specific pattern of abnormalities that is characteristic for the difference between autistic children and typically developing controls. The present findings showed that morphological features are significantly increased in patients with autism. Using ROC and RP, some of the morphological measures also led to strong predictive accuracy. Facial asymmetry, multiple hair whorls and prominent forehead significantly differentiated patients with autism from controls. Future research on multivariable risk prediction models may benefit from the use of morphological features. Electronic supplementary material The online version of this article (doi:10.1007/s10803-012-1554-4) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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