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Documents disponibles écrits par cet auteur (14)
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Titre : ADOS-2. Autism Diagnostic Observation Schedule : Second Edition Type de document : texte imprimé Auteurs : Catherine LORD, Auteur ; Michael RUTTER, Auteur ; Pamela C. DILAVORE, Auteur ; Susan RISI, Auteur ; Katherine GOTHAM, Auteur ; Somer L. BISHOP, Auteur ; Rhiannon LUYSTER, Auteur ; Whitney GUTHRIE, Auteur Editeur : Torrance - CA [Etats-Unis] : Western Psychological Service - WPS Année de publication : 2012 Importance : 446 p. Format : 21,5cm x 28cm x 3cm Note générale : Bibliogr. Langues : Anglais (eng) Mots-clés : Autism Diagnosis Observation Schedule Second Edition (ADOS-2) Index. décimale : OUT-A OUT-A - Outils d‘Evaluation - Tests Résumé : Allows you to accurately assess and diagnose autism spectrum disorders across age, developmental level, and language skills. Toddler Module provides ranges of concern reflecting the extent to which a child demonstrates behaviors associated with ASD. Modules 1 through 4 provide cutoff scores for autism and autism spectrum classifications. Modules 1 through 3 also provide a Comparison Score indicating level of autism spectrum-related symptoms compared to children with ASD who are the same age and have similar language skills. [Résumé d'Auteur/Editeur] Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=231 ADOS-2. Autism Diagnostic Observation Schedule : Second Edition [texte imprimé] / Catherine LORD, Auteur ; Michael RUTTER, Auteur ; Pamela C. DILAVORE, Auteur ; Susan RISI, Auteur ; Katherine GOTHAM, Auteur ; Somer L. BISHOP, Auteur ; Rhiannon LUYSTER, Auteur ; Whitney GUTHRIE, Auteur . - Torrance - CA [Etats-Unis] : Western Psychological Service - WPS, 2012 . - 446 p. ; 21,5cm x 28cm x 3cm.
Bibliogr.
Langues : Anglais (eng)
Mots-clés : Autism Diagnosis Observation Schedule Second Edition (ADOS-2) Index. décimale : OUT-A OUT-A - Outils d‘Evaluation - Tests Résumé : Allows you to accurately assess and diagnose autism spectrum disorders across age, developmental level, and language skills. Toddler Module provides ranges of concern reflecting the extent to which a child demonstrates behaviors associated with ASD. Modules 1 through 4 provide cutoff scores for autism and autism spectrum classifications. Modules 1 through 3 also provide a Comparison Score indicating level of autism spectrum-related symptoms compared to children with ASD who are the same age and have similar language skills. [Résumé d'Auteur/Editeur] Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=231 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité DOC0002783 OUT-A LOR Livre Centre d'Information et de Documentation du CRA Rhône-Alpes OUT - Outils d'évaluation - Tests Disponible Les abonnés qui ont emprunté ce document ont également emprunté :
Réapprendre à lire GARCIA, Sandrine Approche neuropsychologique des troubles des apprentissages CHOKRON, Sylvie Books 50 (01/01/2014) Principales échelles d'évaluation chez l'enfant et l'adolescent en Médecine Physique et Réadaptation GAUTHERON, V. NeuroTribus SILBERMAN, Steve L' intervention précoce en autisme ROGERS, Sally J. “Communities” in Community Engagement: Lessons Learned From Autism Research in South Korea and South Africa / Roy Richard GRINKER in Autism Research, 5-3 (June 2012)
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Titre : “Communities” in Community Engagement: Lessons Learned From Autism Research in South Korea and South Africa Type de document : texte imprimé Auteurs : Roy Richard GRINKER, Auteur ; Nola J. CHAMBERS, Auteur ; Nono NJONGWE, Auteur ; Adrienne E. LAGMAN, Auteur ; Whitney GUTHRIE, Auteur ; Sheri T. STRONACH, Auteur ; Bonnie O. RICHARD, Auteur ; Shuaib KAUCHALI, Auteur ; Beverley KILLIAN, Auteur ; Meera CHHAGAN, Auteur ; Fikri YUCEL, Auteur ; Mwenda KUDUMU, Auteur ; Christie BARKER-CUMMINGS, Auteur ; Judith K. GRETHER, Auteur ; Amy M. WETHERBY, Auteur Année de publication : 2012 Article en page(s) : p.201-210 Langues : Anglais (eng) Mots-clés : autism spectrum disorder community engagement cross-cultural studies epidemiology Korea South Africa Index. décimale : PER Périodiques Résumé : Little research has been conducted on behavioral characteristics of children with autism spectrum disorder (ASD) from diverse cultures within the US, or from countries outside of the US or Europe, with little reliable information yet reported from developing countries. We describe the process used to engage diverse communities in ASD research in two community-based research projects—an epidemiologic investigation of 7- to 12-year olds in South Korea and the Early Autism Project, an ASD detection program for 18- to 36-month-old Zulu-speaking children in South Africa. Despite the differences in wealth between these communities, ASD is underdiagnosed in both settings, and generally not reported in clinical or educational records. Moreover, in both countries, there is low availability of services. In both cases, local knowledge helped researchers to address both ethnographic as well as practical problems. Researchers identified the ways in which these communities generate and negotiate the cultural meanings of developmental disorders. Researchers incorporated that knowledge, as they engaged communities in a research protocol, adapted and translated screening and diagnostic tools, and developed methods for screening, evaluating, and diagnosing children with ASD. En ligne : http://dx.doi.org/10.1002/aur.1229 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=163
in Autism Research > 5-3 (June 2012) . - p.201-210[article] “Communities” in Community Engagement: Lessons Learned From Autism Research in South Korea and South Africa [texte imprimé] / Roy Richard GRINKER, Auteur ; Nola J. CHAMBERS, Auteur ; Nono NJONGWE, Auteur ; Adrienne E. LAGMAN, Auteur ; Whitney GUTHRIE, Auteur ; Sheri T. STRONACH, Auteur ; Bonnie O. RICHARD, Auteur ; Shuaib KAUCHALI, Auteur ; Beverley KILLIAN, Auteur ; Meera CHHAGAN, Auteur ; Fikri YUCEL, Auteur ; Mwenda KUDUMU, Auteur ; Christie BARKER-CUMMINGS, Auteur ; Judith K. GRETHER, Auteur ; Amy M. WETHERBY, Auteur . - 2012 . - p.201-210.
Langues : Anglais (eng)
in Autism Research > 5-3 (June 2012) . - p.201-210
Mots-clés : autism spectrum disorder community engagement cross-cultural studies epidemiology Korea South Africa Index. décimale : PER Périodiques Résumé : Little research has been conducted on behavioral characteristics of children with autism spectrum disorder (ASD) from diverse cultures within the US, or from countries outside of the US or Europe, with little reliable information yet reported from developing countries. We describe the process used to engage diverse communities in ASD research in two community-based research projects—an epidemiologic investigation of 7- to 12-year olds in South Korea and the Early Autism Project, an ASD detection program for 18- to 36-month-old Zulu-speaking children in South Africa. Despite the differences in wealth between these communities, ASD is underdiagnosed in both settings, and generally not reported in clinical or educational records. Moreover, in both countries, there is low availability of services. In both cases, local knowledge helped researchers to address both ethnographic as well as practical problems. Researchers identified the ways in which these communities generate and negotiate the cultural meanings of developmental disorders. Researchers incorporated that knowledge, as they engaged communities in a research protocol, adapted and translated screening and diagnostic tools, and developed methods for screening, evaluating, and diagnosing children with ASD. En ligne : http://dx.doi.org/10.1002/aur.1229 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=163 Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records / Mengge ZHAO in Journal of Neurodevelopmental Disorders, 14 (2022)
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Titre : Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records Type de document : texte imprimé Auteurs : Mengge ZHAO, Auteur ; James HAVRILLA, Auteur ; Jacqueline PENG, Auteur ; Madison DRYE, Auteur ; Maddie FECHER, Auteur ; Whitney GUTHRIE, Auteur ; Birkan TUNC, Auteur ; Robert SCHULTZ, Auteur ; Kai WANG, Auteur ; Yunyun ZHOU, Auteur Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis/genetics Electronic Health Records Humans Natural Language Processing Phenotype Vocabulary Autism Autism spectrum disorder Electronic health record Natural language processing Phenotype ontology Terminology set Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by restricted, repetitive behavior, and impaired social communication and interactions. However, significant challenges remain in diagnosing and subtyping ASD due in part to the lack of a validated, standardized vocabulary to characterize clinical phenotypic presentation of ASD. Although the human phenotype ontology (HPO) plays an important role in delineating nuanced phenotypes for rare genetic diseases, it is inadequate to capture characteristic of behavioral and psychiatric phenotypes for individuals with ASD. There is a clear need, therefore, for a well-established phenotype terminology set that can assist in characterization of ASD phenotypes from patients' clinical narratives. METHODS: To address this challenge, we used natural language processing (NLP) techniques to identify and curate ASD phenotypic terms from high-quality unstructured clinical notes in the electronic health record (EHR) on 8499 individuals with ASD, 8177 individuals with non-ASD psychiatric disorders, and 8482 individuals without a documented psychiatric disorder. We further performed dimensional reduction clustering analysis to subgroup individuals with ASD, using nonnegative matrix factorization method. RESULTS: Through a note-processing pipeline that includes several steps of state-of-the-art NLP approaches, we identified 3336 ASD terms linking to 1943 unique medical concepts, which represents among the largest ASD terminology set to date. The extracted ASD terms were further organized in a formal ontology structure similar to the HPO. Clustering analysis showed that these terms could be used in a diagnostic pipeline to differentiate individuals with ASD from individuals with other psychiatric disorders. CONCLUSION: Our ASD phenotype ontology can assist clinicians and researchers in characterizing individuals with ASD, facilitating automated diagnosis, and subtyping individuals with ASD to facilitate personalized therapeutic decision-making. En ligne : https://dx.doi.org/10.1186/s11689-022-09442-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574
in Journal of Neurodevelopmental Disorders > 14 (2022)[article] Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records [texte imprimé] / Mengge ZHAO, Auteur ; James HAVRILLA, Auteur ; Jacqueline PENG, Auteur ; Madison DRYE, Auteur ; Maddie FECHER, Auteur ; Whitney GUTHRIE, Auteur ; Birkan TUNC, Auteur ; Robert SCHULTZ, Auteur ; Kai WANG, Auteur ; Yunyun ZHOU, Auteur.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 14 (2022)
Mots-clés : Autism Spectrum Disorder/diagnosis/genetics Electronic Health Records Humans Natural Language Processing Phenotype Vocabulary Autism Autism spectrum disorder Electronic health record Natural language processing Phenotype ontology Terminology set Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by restricted, repetitive behavior, and impaired social communication and interactions. However, significant challenges remain in diagnosing and subtyping ASD due in part to the lack of a validated, standardized vocabulary to characterize clinical phenotypic presentation of ASD. Although the human phenotype ontology (HPO) plays an important role in delineating nuanced phenotypes for rare genetic diseases, it is inadequate to capture characteristic of behavioral and psychiatric phenotypes for individuals with ASD. There is a clear need, therefore, for a well-established phenotype terminology set that can assist in characterization of ASD phenotypes from patients' clinical narratives. METHODS: To address this challenge, we used natural language processing (NLP) techniques to identify and curate ASD phenotypic terms from high-quality unstructured clinical notes in the electronic health record (EHR) on 8499 individuals with ASD, 8177 individuals with non-ASD psychiatric disorders, and 8482 individuals without a documented psychiatric disorder. We further performed dimensional reduction clustering analysis to subgroup individuals with ASD, using nonnegative matrix factorization method. RESULTS: Through a note-processing pipeline that includes several steps of state-of-the-art NLP approaches, we identified 3336 ASD terms linking to 1943 unique medical concepts, which represents among the largest ASD terminology set to date. The extracted ASD terms were further organized in a formal ontology structure similar to the HPO. Clustering analysis showed that these terms could be used in a diagnostic pipeline to differentiate individuals with ASD from individuals with other psychiatric disorders. CONCLUSION: Our ASD phenotype ontology can assist clinicians and researchers in characterizing individuals with ASD, facilitating automated diagnosis, and subtyping individuals with ASD to facilitate personalized therapeutic decision-making. En ligne : https://dx.doi.org/10.1186/s11689-022-09442-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 Early diagnosis of autism spectrum disorder: stability and change in clinical diagnosis and symptom presentation / Whitney GUTHRIE in Journal of Child Psychology and Psychiatry, 54-5 (May 2013)
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Titre : Early diagnosis of autism spectrum disorder: stability and change in clinical diagnosis and symptom presentation Type de document : texte imprimé Auteurs : Whitney GUTHRIE, Auteur ; Lauren B. SWINEFORD, Auteur ; Charly NOTTKE, Auteur ; Amy M. WETHERBY, Auteur Article en page(s) : p.582-590 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder developmental delay diagnosis development assessment Index. décimale : PER Périodiques Résumé : Background: Although a diagnosis of autism spectrum disorder (ASD) appears to be stable in children as young as age three, few studies have explored stability of a diagnosis in younger children. Predictive value of diagnostic tools for toddlers and patterns of symptom change are important considerations for clinicians making early diagnoses. Most findings come from high-risk samples, but reports on children screened in community settings are also needed. Methods: Stability of diagnosis and Autism Diagnostic Observation Schedule – Toddler Module (ADOS-T) classifications and scores was examined across two time points in a sample of 82 children identified through the FIRST WORDS® Project. Children received two comprehensive diagnostic evaluations at average ages of 19.39 (SD = 2.12) and 36.89 (SD = 3.85) months. Results: Stability was 100% when confirming and ruling out a diagnosis of ASD based on a comprehensive diagnostic evaluation that included clinic and home observations, although diagnosis was initially deferred for 17% of the sample. Receiver Operating Characteristic curves revealed excellent sensitivity and acceptable specificity for the ADOS-T compared to concurrent diagnosis. Logistic regressions indicated good predictive value of initial ADOS-T scores for follow-up diagnosis. Finally, both ASD and Non-ASD children demonstrated a decrease in Social Affect scores (i.e., improvement), whereas children with ASD demonstrated an increase in Restricted and Repetitive Behavior scores (i.e., worsening), changes that were accounted for by nonverbal developmental level in mixed model analyses. Conclusions: Short-term stability was documented for children diagnosed at 19 months on average, although a minority of children initially showed unclear diagnostic presentations. Findings highlight utility of the ADOS-T in making early diagnoses and predicting follow-up diagnoses. Children with ASD demonstrated improvement in social communication behaviors and unfolding of repetitive behaviors, suggesting that certain early patterns of change in symptoms may be characteristic of ASD. En ligne : http://dx.doi.org/10.1111/jcpp.12008 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=196
in Journal of Child Psychology and Psychiatry > 54-5 (May 2013) . - p.582-590[article] Early diagnosis of autism spectrum disorder: stability and change in clinical diagnosis and symptom presentation [texte imprimé] / Whitney GUTHRIE, Auteur ; Lauren B. SWINEFORD, Auteur ; Charly NOTTKE, Auteur ; Amy M. WETHERBY, Auteur . - p.582-590.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 54-5 (May 2013) . - p.582-590
Mots-clés : Autism spectrum disorder developmental delay diagnosis development assessment Index. décimale : PER Périodiques Résumé : Background: Although a diagnosis of autism spectrum disorder (ASD) appears to be stable in children as young as age three, few studies have explored stability of a diagnosis in younger children. Predictive value of diagnostic tools for toddlers and patterns of symptom change are important considerations for clinicians making early diagnoses. Most findings come from high-risk samples, but reports on children screened in community settings are also needed. Methods: Stability of diagnosis and Autism Diagnostic Observation Schedule – Toddler Module (ADOS-T) classifications and scores was examined across two time points in a sample of 82 children identified through the FIRST WORDS® Project. Children received two comprehensive diagnostic evaluations at average ages of 19.39 (SD = 2.12) and 36.89 (SD = 3.85) months. Results: Stability was 100% when confirming and ruling out a diagnosis of ASD based on a comprehensive diagnostic evaluation that included clinic and home observations, although diagnosis was initially deferred for 17% of the sample. Receiver Operating Characteristic curves revealed excellent sensitivity and acceptable specificity for the ADOS-T compared to concurrent diagnosis. Logistic regressions indicated good predictive value of initial ADOS-T scores for follow-up diagnosis. Finally, both ASD and Non-ASD children demonstrated a decrease in Social Affect scores (i.e., improvement), whereas children with ASD demonstrated an increase in Restricted and Repetitive Behavior scores (i.e., worsening), changes that were accounted for by nonverbal developmental level in mixed model analyses. Conclusions: Short-term stability was documented for children diagnosed at 19 months on average, although a minority of children initially showed unclear diagnostic presentations. Findings highlight utility of the ADOS-T in making early diagnoses and predicting follow-up diagnoses. Children with ASD demonstrated improvement in social communication behaviors and unfolding of repetitive behaviors, suggesting that certain early patterns of change in symptoms may be characteristic of ASD. En ligne : http://dx.doi.org/10.1111/jcpp.12008 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=196 Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life / Lisa D. YANKOWITZ in Molecular Autism, 13 (2022)
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Titre : Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life Type de document : texte imprimé Auteurs : Lisa D. YANKOWITZ, Auteur ; Victoria PETRULLA, Auteur ; Samantha PLATE, Auteur ; B. TUNC, Auteur ; Whitney GUTHRIE, Auteur ; Shoba S. MEERA, Auteur ; Kimberly TENA, Auteur ; Juhi PANDEY, Auteur ; Meghan R. SWANSON, Auteur ; John R. PRUETT, Auteur ; Meredith L. COLA, Auteur ; Ailsa RUSSELL, Auteur ; Natasha M. MARRUS, Auteur ; Heather C. HAZLETT, Auteur ; Kelly BOTTERON, Auteur ; John N. CONSTANTINO, Auteur ; Stephen R. DAGER, Auteur ; Annette ESTES, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur Article en page(s) : 28 p. Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder Humans Infant Language Development Disorders/diagnosis Longitudinal Studies Reproducibility of Results Index. décimale : PER Périodiques Résumé : BACKGROUND: Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed. METHODS: Vocalizations produced at 6 and 12 months by infants (n=267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome. RESULTS: No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression. LIMITATIONS: Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds. CONCLUSIONS: Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own. En ligne : http://dx.doi.org/10.1186/s13229-022-00503-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491
in Molecular Autism > 13 (2022) . - 28 p.[article] Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life [texte imprimé] / Lisa D. YANKOWITZ, Auteur ; Victoria PETRULLA, Auteur ; Samantha PLATE, Auteur ; B. TUNC, Auteur ; Whitney GUTHRIE, Auteur ; Shoba S. MEERA, Auteur ; Kimberly TENA, Auteur ; Juhi PANDEY, Auteur ; Meghan R. SWANSON, Auteur ; John R. PRUETT, Auteur ; Meredith L. COLA, Auteur ; Ailsa RUSSELL, Auteur ; Natasha M. MARRUS, Auteur ; Heather C. HAZLETT, Auteur ; Kelly BOTTERON, Auteur ; John N. CONSTANTINO, Auteur ; Stephen R. DAGER, Auteur ; Annette ESTES, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur . - 28 p.
Langues : Anglais (eng)
in Molecular Autism > 13 (2022) . - 28 p.
Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder Humans Infant Language Development Disorders/diagnosis Longitudinal Studies Reproducibility of Results Index. décimale : PER Périodiques Résumé : BACKGROUND: Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed. METHODS: Vocalizations produced at 6 and 12 months by infants (n=267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome. RESULTS: No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression. LIMITATIONS: Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds. CONCLUSIONS: Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own. En ligne : http://dx.doi.org/10.1186/s13229-022-00503-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 Prevalence of autism spectrum disorder in a large pediatric primary care network / Kate E. WALLIS in Autism, 27-6 (August 2023)
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PermalinkPsychometric analysis of the Systematic Observation of Red Flags for autism spectrum disorder in toddlers / Deanna DOW in Autism, 21-2 (February 2017)
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PermalinkPsychometric analysis of the Systematic Observation of Red Flags for autism spectrum disorder in toddlers / Deanna DOW in Autism, 21-3 (April 2017)
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PermalinkThe Autism Diagnostic Observation Schedule—Toddler Module: A New Module of a Standardized Diagnostic Measure for Autism Spectrum Disorders / Rhiannon LUYSTER in Journal of Autism and Developmental Disorders, 39-9 (September 2009)
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PermalinkThe Autism Diagnostic Observation Schedule, Toddler Module: Standardized Severity Scores / Amy N. ESLER in Journal of Autism and Developmental Disorders, 45-9 (September 2015)
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PermalinkThe earlier the better: An RCT of treatment timing effects for toddlers on the autism spectrum / Whitney GUTHRIE in Autism, 27-8 (November 2023)
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PermalinkThe Early Screening for Autism and Communication Disorders: Field-testing an autism-specific screening tool for children 12 to 36 months of age / Amy M. WETHERBY in Autism, 25-7 (October 2021)
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PermalinkThe Early Screening for Autism and Communication Disorders: Field-testing an autism-specific screening tool for children 12 to 36 months of age / Amy M. WETHERBY in Autism, 26-7 (October 2022)
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PermalinkVerbal and nonverbal outcomes of toddlers with and without autism spectrum disorder, language delay, and global developmental delay / Abigail D. DELEHANTY in Autism & Developmental Language Impairments, 3 (January-December 2018)
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