Exploring the relationship between autism spectrum disorder and epilepsy using latent class cluster analysis

Michael L. Cuccaro, Roberto Tuchman, Kara L. Hamilton, Harry H. Wright, Ruth K. Abramson, Jonathan L. Haines, John R. Gilbert, Margaret Pericak-Vance

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

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 ASDepilepsy 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.

Original languageEnglish (US)
Pages (from-to)1630-1641
Number of pages12
JournalJournal of Autism and Developmental Disorders
Volume42
Issue number8
DOIs
StatePublished - Aug 1 2012

Keywords

  • Autism spectrum disorders
  • Epilepsy
  • Latent class cluster analysis
  • Phenotype

ASJC Scopus subject areas

  • Developmental and Educational Psychology

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