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Auteur Somer L. BISHOP |
Documents disponibles écrits par cet auteur (68)
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The influence of parental concern on the utility of autism diagnostic instruments / Karoline Alexandra HAVDAHL in Autism Research, 10-10 (October 2017)
[article]
Titre : The influence of parental concern on the utility of autism diagnostic instruments Type de document : Texte imprimé et/ou numérique Auteurs : Karoline Alexandra HAVDAHL, Auteur ; Somer L. BISHOP, Auteur ; Pål SUREN, Auteur ; Anne-Siri ØYEN, Auteur ; Catherine LORD, Auteur ; Andrew PICKLES, Auteur ; Stephen VON TETZCHNER, Auteur ; Synnve SCHJØLBERG, Auteur ; Nina GUNNES, Auteur ; Mady HORNIG, Auteur ; W. Ian LIPKIN, Auteur ; Ezra SUSSER, Auteur ; Michaeline BRESNAHAN, Auteur ; Per MAGNUS, Auteur ; Nina STENBERG, Auteur ; Ted REICHBORN-KJENNERUD, Auteur ; Camilla STOLTENBERG, Auteur Article en page(s) : p.1672-1686 Langues : Anglais (eng) Mots-clés : Autism Diagnostic Interview-Revised Autism Diagnostic Observation Schedule early diagnosis screening Index. décimale : PER Périodiques Résumé : The parental report-based Autism Diagnostic Interview-Revised (ADI-R) and the clinician observation-based Autism Diagnostic Observation Schedule (ADOS) have been validated primarily in U.S. clinics specialized in autism spectrum disorder (ASD), in which most children are referred by their parents because of ASD concern. This study assessed diagnostic agreement of the ADOS-2 and ADI-R toddler algorithms in a more broadly based sample of 679 toddlers (age 35–47 months) from the Norwegian Mother and Child Cohort. We also examined whether parental concern about ASD influenced instrument performance, comparing toddlers identified based on parental ASD concern (n?=?48) and parent-reported signs of developmental problems (screening) without a specific concern about ASD (n?=?400). The ADOS cutoffs showed consistently well-balanced sensitivity and specificity. The ADI-R cutoffs demonstrated good specificity, but reduced sensitivity, missing 43% of toddlers whose parents were not specifically concerned about ASD. The ADI-R and ADOS dimensional scores agreed well with clinical diagnoses (area under the curve???0.85), contributing additively to their prediction. On the ADI-R, different cutoffs were needed according to presence or absence of parental ASD concern, in order to achieve comparable balance of sensitivity and specificity. These results highlight the importance of taking parental concern about ASD into account when interpreting scores from parental report-based instruments such as the ADI-R. While the ADOS cutoffs performed consistently well, the additive contributions of ADI-R and ADOS scores to the prediction of ASD diagnosis underscore the value of combining instruments based on parent accounts and clinician observation in evaluation of ASD. Autism Res 2017, 10: 1672–1686. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1817 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322
in Autism Research > 10-10 (October 2017) . - p.1672-1686[article] The influence of parental concern on the utility of autism diagnostic instruments [Texte imprimé et/ou numérique] / Karoline Alexandra HAVDAHL, Auteur ; Somer L. BISHOP, Auteur ; Pål SUREN, Auteur ; Anne-Siri ØYEN, Auteur ; Catherine LORD, Auteur ; Andrew PICKLES, Auteur ; Stephen VON TETZCHNER, Auteur ; Synnve SCHJØLBERG, Auteur ; Nina GUNNES, Auteur ; Mady HORNIG, Auteur ; W. Ian LIPKIN, Auteur ; Ezra SUSSER, Auteur ; Michaeline BRESNAHAN, Auteur ; Per MAGNUS, Auteur ; Nina STENBERG, Auteur ; Ted REICHBORN-KJENNERUD, Auteur ; Camilla STOLTENBERG, Auteur . - p.1672-1686.
Langues : Anglais (eng)
in Autism Research > 10-10 (October 2017) . - p.1672-1686
Mots-clés : Autism Diagnostic Interview-Revised Autism Diagnostic Observation Schedule early diagnosis screening Index. décimale : PER Périodiques Résumé : The parental report-based Autism Diagnostic Interview-Revised (ADI-R) and the clinician observation-based Autism Diagnostic Observation Schedule (ADOS) have been validated primarily in U.S. clinics specialized in autism spectrum disorder (ASD), in which most children are referred by their parents because of ASD concern. This study assessed diagnostic agreement of the ADOS-2 and ADI-R toddler algorithms in a more broadly based sample of 679 toddlers (age 35–47 months) from the Norwegian Mother and Child Cohort. We also examined whether parental concern about ASD influenced instrument performance, comparing toddlers identified based on parental ASD concern (n?=?48) and parent-reported signs of developmental problems (screening) without a specific concern about ASD (n?=?400). The ADOS cutoffs showed consistently well-balanced sensitivity and specificity. The ADI-R cutoffs demonstrated good specificity, but reduced sensitivity, missing 43% of toddlers whose parents were not specifically concerned about ASD. The ADI-R and ADOS dimensional scores agreed well with clinical diagnoses (area under the curve???0.85), contributing additively to their prediction. On the ADI-R, different cutoffs were needed according to presence or absence of parental ASD concern, in order to achieve comparable balance of sensitivity and specificity. These results highlight the importance of taking parental concern about ASD into account when interpreting scores from parental report-based instruments such as the ADI-R. While the ADOS cutoffs performed consistently well, the additive contributions of ADI-R and ADOS scores to the prediction of ASD diagnosis underscore the value of combining instruments based on parent accounts and clinician observation in evaluation of ASD. Autism Res 2017, 10: 1672–1686. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1817 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322 The utility of parent-report screening tools in differentiating autism versus attention-deficit/hyperactivity disorder in school-age children / S. GUTTENTAG in Autism, 26-2 (February 2022)
[article]
Titre : The utility of parent-report screening tools in differentiating autism versus attention-deficit/hyperactivity disorder in school-age children Type de document : Texte imprimé et/ou numérique Auteurs : S. GUTTENTAG, Auteur ; Somer L. BISHOP, Auteur ; R. DOGGETT, Auteur ; R. SHALEV, Auteur ; M. KAPLAN, Auteur ; M. DYSON, Auteur ; M. COHEN, Auteur ; C. LORD, Auteur ; A. DI MARTINO, Auteur Article en page(s) : p.473-487 Langues : Anglais (eng) Mots-clés : Attention-deficit/hyperactivity disorder Autism Symptom Interview Social Communication Questionnaire Social Responsiveness Scale – 2nd Edition autism spectrum disorders parent screening Index. décimale : PER Périodiques Résumé : We tested the ability of a short, recently developed parent interview and two widely used parent-report questionnaires to discriminate school-age verbal children with autism spectrum disorder from those with attention-deficit/hyperactivity disorder without autism spectrum disorder (ADHD(w/oASD)). These measures included the Autism Symptom Interview - School-Age, the Social Responsiveness Scale - 2nd Edition, and the Social Communication Questionnaire - Lifetime. The classification accuracy of all three parent screeners fell in the moderate range. Accuracy varied by instrument, and the Social Communication Questionnaire - Lifetime questionniare showed the highest accuracy. Children with autism spectrum disorder who were incorrectly classified by all parent screeners did not differ from those correctly classified in regard to demographics, intellectual abilities, nor in any specific clinical area beyond general parent concerns. These findings showed that there are valid screening options for assessing school-age verbal children with autism spectrum disorder versus ADHD(w/oASD). They also underscore the need to assess multiple sources of information for increased accuracy. En ligne : http://dx.doi.org/10.1177/13623613211030071 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452
in Autism > 26-2 (February 2022) . - p.473-487[article] The utility of parent-report screening tools in differentiating autism versus attention-deficit/hyperactivity disorder in school-age children [Texte imprimé et/ou numérique] / S. GUTTENTAG, Auteur ; Somer L. BISHOP, Auteur ; R. DOGGETT, Auteur ; R. SHALEV, Auteur ; M. KAPLAN, Auteur ; M. DYSON, Auteur ; M. COHEN, Auteur ; C. LORD, Auteur ; A. DI MARTINO, Auteur . - p.473-487.
Langues : Anglais (eng)
in Autism > 26-2 (February 2022) . - p.473-487
Mots-clés : Attention-deficit/hyperactivity disorder Autism Symptom Interview Social Communication Questionnaire Social Responsiveness Scale – 2nd Edition autism spectrum disorders parent screening Index. décimale : PER Périodiques Résumé : We tested the ability of a short, recently developed parent interview and two widely used parent-report questionnaires to discriminate school-age verbal children with autism spectrum disorder from those with attention-deficit/hyperactivity disorder without autism spectrum disorder (ADHD(w/oASD)). These measures included the Autism Symptom Interview - School-Age, the Social Responsiveness Scale - 2nd Edition, and the Social Communication Questionnaire - Lifetime. The classification accuracy of all three parent screeners fell in the moderate range. Accuracy varied by instrument, and the Social Communication Questionnaire - Lifetime questionniare showed the highest accuracy. Children with autism spectrum disorder who were incorrectly classified by all parent screeners did not differ from those correctly classified in regard to demographics, intellectual abilities, nor in any specific clinical area beyond general parent concerns. These findings showed that there are valid screening options for assessing school-age verbal children with autism spectrum disorder versus ADHD(w/oASD). They also underscore the need to assess multiple sources of information for increased accuracy. En ligne : http://dx.doi.org/10.1177/13623613211030071 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452 Understanding definitions of minimally verbal across instruments: evidence for subgroups within minimally verbal children and adolescents with autism spectrum disorder / Vanessa H. BAL in Journal of Child Psychology and Psychiatry, 57-12 (December 2016)
[article]
Titre : Understanding definitions of minimally verbal across instruments: evidence for subgroups within minimally verbal children and adolescents with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Vanessa H. BAL, Auteur ; Terry KATZ, Auteur ; Somer L. BISHOP, Auteur ; Kate E. KRASILEVA, Auteur Article en page(s) : p.1424-1433 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder cognitive impairment language disorder Index. décimale : PER Périodiques Résumé : Background Minimally verbal (MV) children with autism spectrum disorder (ASD) are often assumed to be profoundly cognitively impaired and excluded from analyses due to challenges completing standardized testing protocols. A literature aimed at increasing understanding of this subgroup is emerging; however, the many methods used to define MV status make it difficult to compare studies. Understanding how different instruments and definitions used to identify MV children affect sample composition is critical to advance research on this understudied clinical population. Method The MV status of 1,470 school-aged children was defined using five instruments commonly used in ASD research. MV sample composition was compared across instruments. Analyses examined the proportion of overlap across MV subgroups and the extent to which child characteristics varied across MV subgroups defined using different definitions or combinations of measures. Results A total of 257 children were classified as MV on at least one instrument. Proportion of overlap between definitions ranged from 3% to 100%. The stringency of definition (i.e. few-to-no vs. some words) was associated with differences in cognitive and adaptive functioning; more stringent definitions yielded greater consistency of MV status across instruments. Cognitive abilities ranged from profoundly impaired to average intelligence; 16% had NVIQ ? 70. Approximately half exhibited verbal skills commensurate with nonverbal cognitive ability, whereas half had verbal abilities significantly lower than their estimated NVIQ. Conclusions Future studies of MV children must carefully consider the methods used to identify their sample, acknowledging that definitions including children with ‘some words’ may yield larger samples with a wider range of language and cognitive abilities. Broadly defined MV samples may be particularly important to delineate factors interfering with language development in the subgroup of children whose expressive impairments are considerably below their estimated nonverbal cognitive abilities. En ligne : http://dx.doi.org/10.1111/jcpp.12609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297
in Journal of Child Psychology and Psychiatry > 57-12 (December 2016) . - p.1424-1433[article] Understanding definitions of minimally verbal across instruments: evidence for subgroups within minimally verbal children and adolescents with autism spectrum disorder [Texte imprimé et/ou numérique] / Vanessa H. BAL, Auteur ; Terry KATZ, Auteur ; Somer L. BISHOP, Auteur ; Kate E. KRASILEVA, Auteur . - p.1424-1433.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 57-12 (December 2016) . - p.1424-1433
Mots-clés : Autism spectrum disorder cognitive impairment language disorder Index. décimale : PER Périodiques Résumé : Background Minimally verbal (MV) children with autism spectrum disorder (ASD) are often assumed to be profoundly cognitively impaired and excluded from analyses due to challenges completing standardized testing protocols. A literature aimed at increasing understanding of this subgroup is emerging; however, the many methods used to define MV status make it difficult to compare studies. Understanding how different instruments and definitions used to identify MV children affect sample composition is critical to advance research on this understudied clinical population. Method The MV status of 1,470 school-aged children was defined using five instruments commonly used in ASD research. MV sample composition was compared across instruments. Analyses examined the proportion of overlap across MV subgroups and the extent to which child characteristics varied across MV subgroups defined using different definitions or combinations of measures. Results A total of 257 children were classified as MV on at least one instrument. Proportion of overlap between definitions ranged from 3% to 100%. The stringency of definition (i.e. few-to-no vs. some words) was associated with differences in cognitive and adaptive functioning; more stringent definitions yielded greater consistency of MV status across instruments. Cognitive abilities ranged from profoundly impaired to average intelligence; 16% had NVIQ ? 70. Approximately half exhibited verbal skills commensurate with nonverbal cognitive ability, whereas half had verbal abilities significantly lower than their estimated NVIQ. Conclusions Future studies of MV children must carefully consider the methods used to identify their sample, acknowledging that definitions including children with ‘some words’ may yield larger samples with a wider range of language and cognitive abilities. Broadly defined MV samples may be particularly important to delineate factors interfering with language development in the subgroup of children whose expressive impairments are considerably below their estimated nonverbal cognitive abilities. En ligne : http://dx.doi.org/10.1111/jcpp.12609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 Understanding the gap between cognitive abilities and daily living skills in adolescents with autism spectrum disorders with average intelligence / Amie W. DUNCAN in Autism, 19-1 (January 2015)
[article]
Titre : Understanding the gap between cognitive abilities and daily living skills in adolescents with autism spectrum disorders with average intelligence Type de document : Texte imprimé et/ou numérique Auteurs : Amie W. DUNCAN, Auteur ; Somer L. BISHOP, Auteur Année de publication : 2015 Article en page(s) : p.64-72 Langues : Anglais (eng) Mots-clés : adaptive behavior adolescence autism spectrumdisorder cognitive abilities daily living skills Index. décimale : PER Périodiques Résumé : Daily living skills standard scores on the Vineland Adaptive Behavior Scales–2nd edition were examined in 417 adolescents from the Simons Simplex Collection. All participants had at least average intelligence and a diagnosis of autism spectrum disorder. Descriptive statistics and binary logistic regressions were used to examine the prevalence and predictors of a “daily living skills deficit,” defined as below average daily living skills in the context of average intelligence quotient. Approximately half of the adolescents were identified as having a daily living skills deficit. Autism symptomatology, intelligence quotient, maternal education, age, and sex accounted for only 10% of the variance in predicting a daily living skills deficit. Identifying factors associated with better or worse daily living skills may help shed light on the variability in adult outcome in individuals with autism spectrum disorder with average intelligence. En ligne : http://dx.doi.org/10.1177/1362361313510068 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=245
in Autism > 19-1 (January 2015) . - p.64-72[article] Understanding the gap between cognitive abilities and daily living skills in adolescents with autism spectrum disorders with average intelligence [Texte imprimé et/ou numérique] / Amie W. DUNCAN, Auteur ; Somer L. BISHOP, Auteur . - 2015 . - p.64-72.
Langues : Anglais (eng)
in Autism > 19-1 (January 2015) . - p.64-72
Mots-clés : adaptive behavior adolescence autism spectrumdisorder cognitive abilities daily living skills Index. décimale : PER Périodiques Résumé : Daily living skills standard scores on the Vineland Adaptive Behavior Scales–2nd edition were examined in 417 adolescents from the Simons Simplex Collection. All participants had at least average intelligence and a diagnosis of autism spectrum disorder. Descriptive statistics and binary logistic regressions were used to examine the prevalence and predictors of a “daily living skills deficit,” defined as below average daily living skills in the context of average intelligence quotient. Approximately half of the adolescents were identified as having a daily living skills deficit. Autism symptomatology, intelligence quotient, maternal education, age, and sex accounted for only 10% of the variance in predicting a daily living skills deficit. Identifying factors associated with better or worse daily living skills may help shed light on the variability in adult outcome in individuals with autism spectrum disorder with average intelligence. En ligne : http://dx.doi.org/10.1177/1362361313510068 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=245 Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion / Daniel BONE in Journal of Child Psychology and Psychiatry, 57-8 (August 2016)
[article]
Titre : Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion Type de document : Texte imprimé et/ou numérique Auteurs : Daniel BONE, Auteur ; Somer L. BISHOP, Auteur ; Matthew P. BLACK, Auteur ; Matthew S. GOODWIN, Auteur ; Catherine LORD, Auteur ; Shrikanth S. NARAYANAN, Auteur Article en page(s) : p.927-937 Langues : Anglais (eng) Mots-clés : Autism screening diagnosis machine learning Index. décimale : PER Périodiques Résumé : Background Machine learning (ML) provides novel opportunities for human behavior research and clinical translation, yet its application can have noted pitfalls (Bone et al., 2015). In this work, we fastidiously utilize ML to derive autism spectrum disorder (ASD) instrument algorithms in an attempt to improve upon widely used ASD screening and diagnostic tools. Methods The data consisted of Autism Diagnostic Interview-Revised (ADI-R) and Social Responsiveness Scale (SRS) scores for 1,264 verbal individuals with ASD and 462 verbal individuals with non-ASD developmental or psychiatric disorders, split at age 10. Algorithms were created via a robust ML classifier, support vector machine, while targeting best-estimate clinical diagnosis of ASD versus non-ASD. Parameter settings were tuned in multiple levels of cross-validation. Results The created algorithms were more effective (higher performing) than the current algorithms, were tunable (sensitivity and specificity can be differentially weighted), and were more efficient (achieving near-peak performance with five or fewer codes). Results from ML-based fusion of ADI-R and SRS are reported. We present a screener algorithm for below (above) age 10 that reached 89.2% (86.7%) sensitivity and 59.0% (53.4%) specificity with only five behavioral codes. Conclusions En ligne : http://dx.doi.org/10.1111/jcpp.12559 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=292
in Journal of Child Psychology and Psychiatry > 57-8 (August 2016) . - p.927-937[article] Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion [Texte imprimé et/ou numérique] / Daniel BONE, Auteur ; Somer L. BISHOP, Auteur ; Matthew P. BLACK, Auteur ; Matthew S. GOODWIN, Auteur ; Catherine LORD, Auteur ; Shrikanth S. NARAYANAN, Auteur . - p.927-937.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 57-8 (August 2016) . - p.927-937
Mots-clés : Autism screening diagnosis machine learning Index. décimale : PER Périodiques Résumé : Background Machine learning (ML) provides novel opportunities for human behavior research and clinical translation, yet its application can have noted pitfalls (Bone et al., 2015). In this work, we fastidiously utilize ML to derive autism spectrum disorder (ASD) instrument algorithms in an attempt to improve upon widely used ASD screening and diagnostic tools. Methods The data consisted of Autism Diagnostic Interview-Revised (ADI-R) and Social Responsiveness Scale (SRS) scores for 1,264 verbal individuals with ASD and 462 verbal individuals with non-ASD developmental or psychiatric disorders, split at age 10. Algorithms were created via a robust ML classifier, support vector machine, while targeting best-estimate clinical diagnosis of ASD versus non-ASD. Parameter settings were tuned in multiple levels of cross-validation. Results The created algorithms were more effective (higher performing) than the current algorithms, were tunable (sensitivity and specificity can be differentially weighted), and were more efficient (achieving near-peak performance with five or fewer codes). Results from ML-based fusion of ADI-R and SRS are reported. We present a screener algorithm for below (above) age 10 that reached 89.2% (86.7%) sensitivity and 59.0% (53.4%) specificity with only five behavioral codes. Conclusions En ligne : http://dx.doi.org/10.1111/jcpp.12559 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=292 Using Self- and Parent-Reports to Test the Association Between Peer Victimization and Internalizing Symptoms in Verbally Fluent Adolescents with ASD / Ryan E. ADAMS in Journal of Autism and Developmental Disorders, 44-4 (April 2014)
PermalinkUtility of the Child Behavior Checklist as a Screener for Autism Spectrum Disorder / K. Alexandra HAVDAHL in Autism Research, 9-1 (January 2016)
PermalinkUtilization of the Maternal and Child Health Handbook in Early Identification of Autism Spectrum Disorder and Other Neurodevelopmental Disorders / Tomoya HIROTA in Autism Research, 14-3 (March 2021)
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