[article] 
inJournal of Autism and Developmental Disorders > 42-12 (December 2012) . - p.2636-2647

Titre :	Predicting Developmental Status from 12 to 24 Months in Infants at Risk for Autism Spectrum Disorder: A Preliminary Report
Type de document :	Texte imprimé et/ou numérique
Auteurs :	Suzanne L. MACARI, Auteur ; Daniel B. CAMPBELL, Auteur ; Grace W. GENGOUX, Auteur ; Celine A. SAULNIER, Auteur ; Ami KLIN, Auteur ; Katarzyna CHAWARSKA, Auteur
Article en page(s) :	p.2636-2647
Langues :	Anglais (eng)
Mots-clés :	Autism  Infancy  High risk studies  Longitudinal studies  Pervasive developmental disorder
Index. décimale :	PER Périodiques
Résumé :	The study examined whether performance profiles on individual items of the Toddler Module of the Autism Diagnostic Observation Schedule at 12 months are associated with developmental status at 24 months in infants at high and low risk for developing Autism Spectrum Disorder (ASD). A nonparametric decision-tree learning algorithm identified sets of 12-month predictors of developmental status at 24 months. Results suggest that identification of infants who are likely to exhibit symptoms of ASD at 24 months is complicated by variable patterns of symptom emergence. Fine-grained analyses linking specific profiles of strengths and deficits with specific patterns of symptom emergence will be necessary for further refinement of screening and diagnostic instruments for ASD in infancy.
En ligne :	http://dx.doi.org/10.1007/s10803-012-1521-0
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=184

[article] Predicting Developmental Status from 12 to 24 Months in Infants at Risk for Autism Spectrum Disorder: A Preliminary Report [Texte imprimé et/ou numérique] / Suzanne L. MACARI, Auteur ; Daniel B. CAMPBELL, Auteur ; Grace W. GENGOUX, Auteur ; Celine A. SAULNIER, Auteur ; Ami KLIN, Auteur ; Katarzyna CHAWARSKA, Auteur . - p.2636-2647.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 42-12 (December 2012) . - p.2636-2647

Mots-clés :	Autism  Infancy  High risk studies  Longitudinal studies  Pervasive developmental disorder
Index. décimale :	PER Périodiques
Résumé :	The study examined whether performance profiles on individual items of the Toddler Module of the Autism Diagnostic Observation Schedule at 12 months are associated with developmental status at 24 months in infants at high and low risk for developing Autism Spectrum Disorder (ASD). A nonparametric decision-tree learning algorithm identified sets of 12-month predictors of developmental status at 24 months. Results suggest that identification of infants who are likely to exhibit symptoms of ASD at 24 months is complicated by variable patterns of symptom emergence. Fine-grained analyses linking specific profiles of strengths and deficits with specific patterns of symptom emergence will be necessary for further refinement of screening and diagnostic instruments for ASD in infancy.
En ligne :	http://dx.doi.org/10.1007/s10803-012-1521-0
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=184