Agreement of parent-reported cognitive level with standardized measures among children with autism spectrum disorder / Chimei M. LEE in Autism Research, 16-6 (June 2023)  

Public ISBD [article]  inAutism Research > 16-6 (June 2023) . - p.1210-1224 Titre : Agreement of parent-reported cognitive level with standardized measures among children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Chimei M. LEE, Auteur ; LeeAnne GREEN SNYDER, Auteur ; Laura A. CARPENTER, Auteur ; Jill HARRIS, Auteur ; Stephen KANNE, Auteur ; Cora M. TAYLOR, Auteur ; Dustin E. SARVER, Auteur ; Kevin G. STEPHENSON, Auteur ; Lisa H. SHULMAN, Auteur ; Ericka L. WODKA, Auteur ; Amy ESLER, Auteur ; Spark consortium THE, Auteur Article en page(s) : p.1210-1224 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  cognitive ability  intellectual disability  parent report  standardized measure Index. décimale : PER Périodiques Résumé : Abstract Assessing cognitive development is critical in clinical research of autism spectrum disorder (ASD). However, collecting cognitive data from clinically administered assessments can add a significant burden to clinical research in ASD due to the substantial cost and time required, and it is often prohibitive in large-scale studies. There is a need for more efficient, but reliable, methods to estimate cognitive functioning for researchers, clinicians, and families. To examine the degree to which caregiver estimates of cognitive level agree with actual measured intelligence/developmental scores and understand factors that may impact that agreement, 1,555 autistic individuals (81.74% male; age 18?months?18?years) were selected from a large cohort (Simons Foundation Powering Autism Research for Knowledge, SPARK). Results suggest that querying parents about recent testing results and developmental diagnoses can provide valid and useful information on cognitive ability. The agreement of parental estimates varied with age, measured cognitive ability, autistic traits, and adaptive skills. In the context of large-scale research efforts, parent-reported cognitive impairment may be a good proxy for categorical IQ range for survey-based studies when specific IQ scores are not available, circumventing the logistical and financial obstacles of obtaining neuropsychological or neurodevelopmental testing. En ligne : https://doi.org/10.1002/aur.2934 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=507 [article] Agreement of parent-reported cognitive level with standardized measures among children with autism spectrum disorder [Texte imprimé et/ou numérique] / Chimei M. LEE, Auteur ; LeeAnne GREEN SNYDER, Auteur ; Laura A. CARPENTER, Auteur ; Jill HARRIS, Auteur ; Stephen KANNE, Auteur ; Cora M. TAYLOR, Auteur ; Dustin E. SARVER, Auteur ; Kevin G. STEPHENSON, Auteur ; Lisa H. SHULMAN, Auteur ; Ericka L. WODKA, Auteur ; Amy ESLER, Auteur ; Spark consortium THE, Auteur . - p.1210-1224. Langues : Anglais (eng) in Autism Research > 16-6 (June 2023) . - p.1210-1224 Mots-clés : autism spectrum disorder  cognitive ability  intellectual disability  parent report  standardized measure Index. décimale : PER Périodiques Résumé : Abstract Assessing cognitive development is critical in clinical research of autism spectrum disorder (ASD). However, collecting cognitive data from clinically administered assessments can add a significant burden to clinical research in ASD due to the substantial cost and time required, and it is often prohibitive in large-scale studies. There is a need for more efficient, but reliable, methods to estimate cognitive functioning for researchers, clinicians, and families. To examine the degree to which caregiver estimates of cognitive level agree with actual measured intelligence/developmental scores and understand factors that may impact that agreement, 1,555 autistic individuals (81.74% male; age 18?months?18?years) were selected from a large cohort (Simons Foundation Powering Autism Research for Knowledge, SPARK). Results suggest that querying parents about recent testing results and developmental diagnoses can provide valid and useful information on cognitive ability. The agreement of parental estimates varied with age, measured cognitive ability, autistic traits, and adaptive skills. In the context of large-scale research efforts, parent-reported cognitive impairment may be a good proxy for categorical IQ range for survey-based studies when specific IQ scores are not available, circumventing the logistical and financial obstacles of obtaining neuropsychological or neurodevelopmental testing. En ligne : https://doi.org/10.1002/aur.2934 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=507

Brief Report: Can Metrics of Reporting Bias Enhance Early Autism Screening Measures? / Cora M. TAYLOR in Journal of Autism and Developmental Disorders, 44-9 (September 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-9 (September 2014) . - p.2375-2380 Titre : Brief Report: Can Metrics of Reporting Bias Enhance Early Autism Screening Measures? Type de document : Texte imprimé et/ou numérique Auteurs : Cora M. TAYLOR, Auteur ; Alison VEHORN, Auteur ; Hylan NOBLE, Auteur ; Amy S. WEITLAUF, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.2375-2380 Langues : Anglais (eng) Mots-clés : Autism  Screening  Early identification  Internal metrics Index. décimale : PER Périodiques Résumé : The goal of the current study was to develop and pilot the utility of two simple internal response bias metrics, over-reporting and under-reporting, in terms of additive clinical value within common screening practices for early detection of autism spectrum disorder risk. Participants were caregivers and children under 36 months of age (n = 145) participating in first-time diagnostic appointments across our clinical research center due to developmental concerns. Caregivers were asked to complete the Modified Checklist for Autism in Toddlers (MCHAT) as well as a questionnaire embedding six response bias indicator questions. These questions were items that in previous clinical studies had been endorsed by an overwhelming majority of parents within clinically identified populations. Results indicated that removal of self-reports indicative of potential response bias dramatically reduced both false positives and false negatives on the MCHAT within this sample. This suggests that future work developing internal metrics of response bias may be promising in addressing limits of current screening measures and practices. En ligne : http://dx.doi.org/10.1007/s10803-014-2099-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=238 [article] Brief Report: Can Metrics of Reporting Bias Enhance Early Autism Screening Measures? [Texte imprimé et/ou numérique] / Cora M. TAYLOR, Auteur ; Alison VEHORN, Auteur ; Hylan NOBLE, Auteur ; Amy S. WEITLAUF, Auteur ; Zachary WARREN, Auteur . - p.2375-2380. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-9 (September 2014) . - p.2375-2380 Mots-clés : Autism  Screening  Early identification  Internal metrics Index. décimale : PER Périodiques Résumé : The goal of the current study was to develop and pilot the utility of two simple internal response bias metrics, over-reporting and under-reporting, in terms of additive clinical value within common screening practices for early detection of autism spectrum disorder risk. Participants were caregivers and children under 36 months of age (n = 145) participating in first-time diagnostic appointments across our clinical research center due to developmental concerns. Caregivers were asked to complete the Modified Checklist for Autism in Toddlers (MCHAT) as well as a questionnaire embedding six response bias indicator questions. These questions were items that in previous clinical studies had been endorsed by an overwhelming majority of parents within clinically identified populations. Results indicated that removal of self-reports indicative of potential response bias dramatically reduced both false positives and false negatives on the MCHAT within this sample. This suggests that future work developing internal metrics of response bias may be promising in addressing limits of current screening measures and practices. En ligne : http://dx.doi.org/10.1007/s10803-014-2099-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=238

A pilot study to identify autism related traits in spontaneous facial actions using computer vision / Manar D. SAMAD in Research in Autism Spectrum Disorders, 65 (September 2019)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 65 (September 2019) . - p.14-24 Titre : A pilot study to identify autism related traits in spontaneous facial actions using computer vision Type de document : Texte imprimé et/ou numérique Auteurs : Manar D. SAMAD, Auteur ; Norou DIAWARA, Auteur ; Jonna L. BOBZIEN, Auteur ; Cora M. TAYLOR, Auteur ; John W. HARRINGTON, Auteur ; Khan M. IFTEKHARUDDIN, Auteur Article en page(s) : p.14-24 Langues : Anglais (eng) Mots-clés : ASD  Behavioral marker  Differential traits  Facial action units  Computer vision  Spontaneous expressions Index. décimale : PER Périodiques Résumé : Background Individuals with autism spectrum disorders (ASD) may be differentiated from typically developing controls (TDC) based on phenotypic features in spontaneous facial expressions. Computer vision technology can automatically track subtle facial actions to gain quantitative insights into ASD related behavioral abnormalities. Method This study proposes a novel psychovisual human-study to elicit spontaneous facial expressions in response to a variety of social and emotional contexts. We introduce a markerless facial motion capture and computer vision methods to track spontaneous and subtle activations of facial muscles. The facial muscle activations are encoded into ten representative facial action units (FAU) to gain quantitative, granular, and contextual insights into the psychophysical development of the participating individuals. Statistical tests are performed to identify differential traits in individuals with ASD after comparing those in a cohort of age-matched TDC individuals. Results The proposed framework has revealed significant difference (p? En ligne : https://doi.org/10.1016/j.rasd.2019.05.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=401 [article] A pilot study to identify autism related traits in spontaneous facial actions using computer vision [Texte imprimé et/ou numérique] / Manar D. SAMAD, Auteur ; Norou DIAWARA, Auteur ; Jonna L. BOBZIEN, Auteur ; Cora M. TAYLOR, Auteur ; John W. HARRINGTON, Auteur ; Khan M. IFTEKHARUDDIN, Auteur . - p.14-24. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 65 (September 2019) . - p.14-24 Mots-clés : ASD  Behavioral marker  Differential traits  Facial action units  Computer vision  Spontaneous expressions Index. décimale : PER Périodiques Résumé : Background Individuals with autism spectrum disorders (ASD) may be differentiated from typically developing controls (TDC) based on phenotypic features in spontaneous facial expressions. Computer vision technology can automatically track subtle facial actions to gain quantitative insights into ASD related behavioral abnormalities. Method This study proposes a novel psychovisual human-study to elicit spontaneous facial expressions in response to a variety of social and emotional contexts. We introduce a markerless facial motion capture and computer vision methods to track spontaneous and subtle activations of facial muscles. The facial muscle activations are encoded into ten representative facial action units (FAU) to gain quantitative, granular, and contextual insights into the psychophysical development of the participating individuals. Statistical tests are performed to identify differential traits in individuals with ASD after comparing those in a cohort of age-matched TDC individuals. Results The proposed framework has revealed significant difference (p? En ligne : https://doi.org/10.1016/j.rasd.2019.05.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=401

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