학술논문

Exploring the Relationship Between Autism Spectrum Disorder and Epilepsy Using Latent Class Cluster Analysis.
Document Type
Article
Source
Journal of Autism & Developmental Disorders. Aug2012, Vol. 42 Issue 8, p1630-1641. 12p. 4 Charts, 5 Graphs.
Subject
*AUTISM
*CLUSTER analysis (Statistics)
*EPILEPSY
*RESEARCH funding
*SCALES (Weighing instruments)
*PHENOTYPES
*COMORBIDITY
*DATA analysis software
*DESCRIPTIVE statistics
Language
ISSN
0162-3257
Abstract
Epilepsy co-occurs frequently in autism spectrum disorders (ASD). Understanding this co-occurrence requires a better understanding of the ASD-epilepsy phenotype (or phenotypes). To address this, we conducted latent class cluster analysis (LCCA) on an ASD dataset (N = 577) which included 64 individuals with epilepsy. We identified a 5-cluster solution with one cluster showing a high rate of epilepsy (29%), earlier age at first recognition, and high rates of repetitive object use and unusual sensory interests. We also conducted LCCA on an ASD-epilepsy subset from the overall dataset (N = 64) which yielded three clusters, the largest of which had impairments in language and motor development; the remaining clusters, while not as developmentally impaired were characterized by different levels of repetitive and sensory behaviors. [ABSTRACT FROM AUTHOR]