| Title |
Exploring the Relationship Between Autism Spectrum Disorder and Epilepsy Using Latent Class Cluster Analysis
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, November 2011
|
| DOI | 10.1007/s10803-011-1402-y |
| Pubmed ID | |
| Authors | |
| 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. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 97 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 15% |
| Researcher | 13 | 13% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Doctoral Student | 9 | 9% |
| Student > Bachelor | 6 | 6% |
| Other | 18 | 18% |
| Unknown | 25 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 19% |
| Medicine and Dentistry | 17 | 17% |
| Social Sciences | 10 | 10% |
| Neuroscience | 9 | 9% |
| Agricultural and Biological Sciences | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 26 | 27% |