Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Autism | 3 |
| Diagnostic Tests | 3 |
| Epilepsy | 3 |
| Pervasive Developmental… | 3 |
| Comparative Analysis | 2 |
| Attention Deficit… | 1 |
| Behavior Disorders | 1 |
| Child Development | 1 |
| Children | 1 |
| Classification | 1 |
| Clinical Diagnosis | 1 |
| More ▼ | |
Author
| Barger, Brian D. | 1 |
| Beaudet, Arthur L. | 1 |
| Campbell, Jonathan | 1 |
| Fung, Cecilia K. Y. | 1 |
| Simmons, Christina | 1 |
| Wong, Polly T. Y. | 1 |
| Wong, Virginia C. N. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
| China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Barger, Brian D.; Campbell, Jonathan; Simmons, Christina – Journal of Intellectual & Developmental Disability, 2017
Background: The strength of the relationship between epilepsy and regression in autism spectrum disorder (ASD) has been much discussed but is currently unclear. Methods: The authors conducted 2 meta-analyses of published studies to determine if children with ASD who experience regression (ASD-R) epilepsy are more likely to have epilepsy or…
Descriptors: Autism, Pervasive Developmental Disorders, Epilepsy, Diagnostic Tests
Wong, Virginia C. N.; Fung, Cecilia K. Y.; Wong, Polly T. Y. – Journal of Autism and Developmental Disorders, 2014
Data from 1,261 Chinese Autistic Spectrum Disorder (ASD) patients were evaluated and categorized into dysmorphic (10.79%) and non-dysmorphic groups (89.21%) upon physical examination by the presence of dysmorphic features. Abnormal MRI/CT result, IQ scores and epilepsy were significantly associated with the dysmorphic group of ASD children.…
Descriptors: Foreign Countries, Pervasive Developmental Disorders, Autism, Classification
Beaudet, Arthur L. – Child Development, 2013
Chromosomal microarray analysis (CMA) has emerged as a powerful new tool to identify genomic abnormalities associated with a wide range of developmental disabilities including congenital malformations, cognitive impairment, and behavioral abnormalities. CMA includes array comparative genomic hybridization (CGH) and single nucleotide polymorphism…
Descriptors: Genetics, Genetic Disorders, Developmental Disabilities, Identification

Peer reviewed
Direct link
