Journal of Autism and Developmental Disorders

, Volume 42, Issue 8, pp 1630–1641

Exploring the Relationship Between Autism Spectrum Disorder and Epilepsy Using Latent Class Cluster Analysis

Authors

    • Department of Human GeneticsUniversity of Miami Miller School of Medicine
  • Roberto F. Tuchman
    • Department of NeurologyMiami Children’s Hospital
  • Kara L. Hamilton
    • Department of Human GeneticsUniversity of Miami Miller School of Medicine
  • Harry H. Wright
    • Department of NeuropsychiatryUniversity of South Carolina School of Medicine
  • Ruth K. Abramson
    • Department of NeuropsychiatryUniversity of South Carolina School of Medicine
  • Jonathan L. Haines
    • Center for Human Genetics ResearchVanderbilt University Medical Center
  • John R. Gilbert
    • Department of Human GeneticsUniversity of Miami Miller School of Medicine
  • Margaret Pericak-Vance
    • Department of Human GeneticsUniversity of Miami Miller School of Medicine
Original Paper

DOI: 10.1007/s10803-011-1402-y

Cite this article as:
Cuccaro, M.L., Tuchman, R.F., Hamilton, K.L. et al. J Autism Dev Disord (2012) 42: 1630. doi:10.1007/s10803-011-1402-y

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.

Keywords

Autism spectrum disordersEpilepsyLatent class cluster analysisPhenotype

Copyright information

© Springer Science+Business Media, LLC 2011