Brief Report: Machine Learning for Estimating Prognosis of Children with Autism Receiving Early Behavioral Intervention-A Proof of Concept / Isabelle PREFONTAINE in Journal of Autism and Developmental Disorders, 54-4 (April 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1605-1610 Titre : Brief Report: Machine Learning for Estimating Prognosis of Children with Autism Receiving Early Behavioral Intervention-A Proof of Concept Type de document : Texte imprimé et/ou numérique Auteurs : Isabelle PREFONTAINE, Auteur ; Marc J. LANOVAZ, Auteur ; Mélina RIVARD, Auteur Article en page(s) : p.1605-1610 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment prognosis on two outcomes (i.e., adaptive functioning and autistic symptoms) in children with autism receiving early behavioral intervention in a community setting. Each machine learning algorithm produced better predictions than random sampling on both outcomes. Those results indicate that machine learning is a promising approach to estimating prognosis in children with autism, but studies comparing these predictions with those produced by qualified practitioners remain necessary. En ligne : https://doi.org/10.1007/s10803-022-05641-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526 [article] Brief Report: Machine Learning for Estimating Prognosis of Children with Autism Receiving Early Behavioral Intervention-A Proof of Concept [Texte imprimé et/ou numérique] / Isabelle PREFONTAINE, Auteur ; Marc J. LANOVAZ, Auteur ; Mélina RIVARD, Auteur . - p.1605-1610. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1605-1610 Index. décimale : PER Périodiques Résumé : Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment prognosis on two outcomes (i.e., adaptive functioning and autistic symptoms) in children with autism receiving early behavioral intervention in a community setting. Each machine learning algorithm produced better predictions than random sampling on both outcomes. Those results indicate that machine learning is a promising approach to estimating prognosis in children with autism, but studies comparing these predictions with those produced by qualified practitioners remain necessary. En ligne : https://doi.org/10.1007/s10803-022-05641-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526

Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis / Isabelle PREFONTAINE in Journal of Autism and Developmental Disorders, 53-3 (March 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-3 (March 2023) . - p.901-917 Titre : Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Isabelle PREFONTAINE, Auteur ; Julien MORIZOT, Auteur ; Marc J. LANOVAZ, Auteur ; Mélina RIVARD, Auteur Article en page(s) : p.901-917 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Despite showing effects in well-controlled studies, the extent to which early intensive behavioral intervention (EBI) produces positive changes in community-based settings remains uncertain. Thus, our study examined changes in autistic symptoms and adaptive functioning in 233 children with autism receiving EBI in a community setting. The results revealed nonlinear changes in adaptive functioning characterized by significant improvements during the intervention and a small linear decrease in autistic symptoms from baseline to follow-up. The intensity of intervention, initial age, IQ and autistic symptoms were associated either with progress during the intervention or maintenance during the follow-up. The next step to extend this line of research involves collecting detailed data about intervention strategies and implementation fidelity to produce concrete recommendations for practitioners. En ligne : https://doi.org/10.1007/s10803-021-05373-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500 [article] Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis [Texte imprimé et/ou numérique] / Isabelle PREFONTAINE, Auteur ; Julien MORIZOT, Auteur ; Marc J. LANOVAZ, Auteur ; Mélina RIVARD, Auteur . - p.901-917. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-3 (March 2023) . - p.901-917 Index. décimale : PER Périodiques Résumé : Despite showing effects in well-controlled studies, the extent to which early intensive behavioral intervention (EBI) produces positive changes in community-based settings remains uncertain. Thus, our study examined changes in autistic symptoms and adaptive functioning in 233 children with autism receiving EBI in a community setting. The results revealed nonlinear changes in adaptive functioning characterized by significant improvements during the intervention and a small linear decrease in autistic symptoms from baseline to follow-up. The intensity of intervention, initial age, IQ and autistic symptoms were associated either with progress during the intervention or maintenance during the follow-up. The next step to extend this line of research involves collecting detailed data about intervention strategies and implementation fidelity to produce concrete recommendations for practitioners. En ligne : https://doi.org/10.1007/s10803-021-05373-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500

Les interventions cognitivo-comportementales auprès des enfants et des adolescents ayant un trouble du spectre de l’autisme avec ou sans déficience intellectuelle / Marie-Michèle DUFOUR

Public ISBD in Intervention cognitivo-comportementale auprès des enfants et des adolescents. Tome 2 / Lyse TURGEON Titre : Les interventions cognitivo-comportementales auprès des enfants et des adolescents ayant un trouble du spectre de l’autisme avec ou sans déficience intellectuelle Type de document : Texte imprimé et/ou numérique Auteurs : Marie-Michèle DUFOUR, Auteur ; Isabelle PREFONTAINE, Auteur ; Marc J. LANOVAZ, Auteur Année de publication : 2024 Importance : p.193-228 Langues : Français (fre) Index. décimale : APP-F APP-F - Thérapies Comportementales et Cognitives Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=527 in Intervention cognitivo-comportementale auprès des enfants et des adolescents. Tome 2 / Lyse TURGEON Les interventions cognitivo-comportementales auprès des enfants et des adolescents ayant un trouble du spectre de l’autisme avec ou sans déficience intellectuelle [Texte imprimé et/ou numérique] / Marie-Michèle DUFOUR, Auteur ; Isabelle PREFONTAINE, Auteur ; Marc J. LANOVAZ, Auteur . - 2024 . - p.193-228. Langues : Français (fre) Index. décimale : APP-F APP-F - Thérapies Comportementales et Cognitives Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=527

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A person-centered perspective on differential efficacy of early behavioral intervention in children with autism: A latent profile analysis / Isabelle PREFONTAINE in Research in Autism Spectrum Disorders, 97 (September 2022)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 97 (September 2022) . - 102017 Titre : A person-centered perspective on differential efficacy of early behavioral intervention in children with autism: A latent profile analysis Type de document : Texte imprimé et/ou numérique Auteurs : Isabelle PREFONTAINE, Auteur ; Julien MORIZOT, Auteur ; Marc J. LANOVAZ, Auteur ; Mélina RIVARD, Auteur Article en page(s) : 102017 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Differential response  EIBI  Heterogeneity  Latent profile analysis  Person-centered Index. décimale : PER Périodiques Résumé : Background Individuals with autism spectrum disorder (ASD) present heterogeneous symptom manifestations and responses to intervention. Despite being well-established, early intensive behavioral intervention (EIBI) has produced inconsistent responding across studies. Investigating individual differences and identifying more homogenous subgroups in samples may lead to a better understanding of symptom heterogeneity in ASD and response to EIBI. Method Adopting a person-centered perspective, we conducted latent profile analyses (LPA) to explore the presence of homogenous subgroups in our sample of 233 preschoolers with ASD receiving early behavioral intervention services. We investigated predictors of group membership using logistic multinomial regressions and outcomes of membership with the BCH approach available in Mplus. Results We found four latent profiles in our sample: a mild impairment profile, a severe impairment profile, and two intermediate profiles with combinations of mild to moderate autistic symptoms, adaptive functioning, and intellectual functioning. Only the annual family income predicted profile membership. All profiles made progress during the intervention period, with varying magnitudes of change. During the follow-up period, the moderate impairment and the severe impairment profiles showed stability or improvement in adaptive functioning, while the two mild impairment profiles showed a slight decrease. Conclusions Our study contributes to the literature by suggesting the presence of distinct profiles with differences in their response to EIBI. The profiles associated with better short-term outcomes were different than the profiles who maintain their gains more consistently over time. This finding may guide both practitioners and researchers assessing the effects of intervention. En ligne : https://doi.org/10.1016/j.rasd.2022.102017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] A person-centered perspective on differential efficacy of early behavioral intervention in children with autism: A latent profile analysis [Texte imprimé et/ou numérique] / Isabelle PREFONTAINE, Auteur ; Julien MORIZOT, Auteur ; Marc J. LANOVAZ, Auteur ; Mélina RIVARD, Auteur . - 102017. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 97 (September 2022) . - 102017 Mots-clés : Autism spectrum disorders  Differential response  EIBI  Heterogeneity  Latent profile analysis  Person-centered Index. décimale : PER Périodiques Résumé : Background Individuals with autism spectrum disorder (ASD) present heterogeneous symptom manifestations and responses to intervention. Despite being well-established, early intensive behavioral intervention (EIBI) has produced inconsistent responding across studies. Investigating individual differences and identifying more homogenous subgroups in samples may lead to a better understanding of symptom heterogeneity in ASD and response to EIBI. Method Adopting a person-centered perspective, we conducted latent profile analyses (LPA) to explore the presence of homogenous subgroups in our sample of 233 preschoolers with ASD receiving early behavioral intervention services. We investigated predictors of group membership using logistic multinomial regressions and outcomes of membership with the BCH approach available in Mplus. Results We found four latent profiles in our sample: a mild impairment profile, a severe impairment profile, and two intermediate profiles with combinations of mild to moderate autistic symptoms, adaptive functioning, and intellectual functioning. Only the annual family income predicted profile membership. All profiles made progress during the intervention period, with varying magnitudes of change. During the follow-up period, the moderate impairment and the severe impairment profiles showed stability or improvement in adaptive functioning, while the two mild impairment profiles showed a slight decrease. Conclusions Our study contributes to the literature by suggesting the presence of distinct profiles with differences in their response to EIBI. The profiles associated with better short-term outcomes were different than the profiles who maintain their gains more consistently over time. This finding may guide both practitioners and researchers assessing the effects of intervention. En ligne : https://doi.org/10.1016/j.rasd.2022.102017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

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