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Prediction of Autism at 3 Years from Behavioural and Developmental Measures in High-Risk Infants: A Longitudinal Cross-Domain Classifier Analysis
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Bussu, G.; Jones, E. J. H.; Charman, T.; Johnson, M. H.; Buitelaar, J. K.; Baron-Cohen, S.; Bedford, R.; Bolton, P.; Blasi, A.; Chandler, S.; Cheung, C.; Davies, K.; Elsabbagh, M.; Fernandes, J.; Gammer, I.; Garwood, H.; Gliga, T.; Guiraud, J.; Hudry, K.; Liew, M.; Lloyd-Fox, S.; Maris, H.; O'Hara, L.; Pasco, G.; Pickles, A.; Ribeiro, H.; Salomone, E.; Tucker, L.; Volein, A. – Journal of Autism and Developmental Disorders, 2018
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n…
Descriptors: Prediction, Autism, Symptoms (Individual Disorders), Classification
Replacing a Spotlight with a Lantern: Using the DC:0-5 Multiaxial Framework When Diagnosing Autism Spectrum Disorder in Early Childhood
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Dai, Yael; Tagavi, Daina M.; Carter, Alice S. – ZERO TO THREE, 2021
Early diagnosis of autism spectrum disorder (ASD) facilitates access to interventions that improve outcomes for children and families. Understanding developmental and behavioral manifestations of symptoms and competencies improves early diagnosis. The authors illustrate the benefits of using the ZERO TO THREE "DC:0-5™: Diagnostic…
Descriptors: Clinical Diagnosis, Disability Identification, Autism Spectrum Disorders, Preschool Children
Stability and Change in Autism Spectrum Disorder Diagnosis from Age 3 to Middle Childhood in a High-Risk Sibling Cohort
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Brian, Jessica; Bryson, Susan E.; Smith, Isabel M.; Roberts, Wendy; Roncadin, Caroline; Szatmari, Peter; Zwaigenbaum, Lonnie – Autism: The International Journal of Research and Practice, 2016
Considerable evidence on autism spectrum disorder emergence comes from longitudinal high-risk samples (i.e. younger siblings of children with autism spectrum disorder). Diagnostic stability to age 3 is very good when diagnosed as early as 18-24 months, but sensitivity is weaker, and relatively little is known beyond toddlerhood. We examined…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Toddlers
A Genome-Wide Association Study of Autism Incorporating Autism Diagnostic Interview-Revised, Autism Diagnostic Observation Schedule, and Social Responsiveness Scale
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Connolly, John J.; Glessner, Joseph T.; Hakonarson, Hakon – Child Development, 2013
Efforts to understand the causes of autism spectrum disorders (ASDs) have been hampered by genetic complexity and heterogeneity among individuals. One strategy for reducing complexity is to target endophenotypes, simpler biologically based measures that may involve fewer genes and constitute a more homogenous sample. A genome-wide association…
Descriptors: Autism, Pervasive Developmental Disorders, Genetics, Genetic Disorders
Quality of Interaction between At-Risk Infants and Caregiver at 12-15 Months is Associated with 3-Year Autism Outcome
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Wan, Ming Wai; Green, Jonathan; Elsabbagh, Mayada; Johnson, Mark; Charman, Tony; Plummer, Faye – Journal of Child Psychology and Psychiatry, 2013
Background: Recent models of the early emergence of autism spectrum disorder (ASD) propose that infant intrinsic risk susceptibilities in behaviour may be amplified by interaction within the early social environment into an increasingly atypical developmental trajectory. This study examines whether 6- and 12-month parent-infant interactions in…
Descriptors: Correlation, Infants, Autism, Pervasive Developmental Disorders
Investigating Phenotypic Heterogeneity in Children with Autism Spectrum Disorder: A Factor Mixture Modeling Approach
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Georgiades, Stelios; Szatmari, Peter; Boyle, Michael; Hanna, Steven; Duku, Eric; Zwaigenbaum, Lonnie; Bryson, Susan; Fombonne, Eric; Volden, Joanne; Mirenda, Pat; Smith, Isabel; Roberts, Wendy; Vaillancourt, Tracy; Waddell, Charlotte; Bennett, Teresa; Thompson, Ann – Journal of Child Psychology and Psychiatry, 2013
Background: Autism spectrum disorder (ASD) is characterized by notable phenotypic heterogeneity, which is often viewed as an obstacle to the study of its etiology, diagnosis, treatment, and prognosis. On the basis of empirical evidence, instead of three binary categories, the upcoming edition of the DSM 5 will use two dimensions--social…
Descriptors: Pervasive Developmental Disorders, Autism, Student Characteristics, Social Development