DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years / Linnea A. LAMPINEN in Journal of Child Psychology and Psychiatry, 66-9 (September 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-9 (September 2025) . - p.1403-1413 Titre : DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years Type de document : Texte imprimé et/ou numérique Auteurs : Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Lindsay OLSON, Auteur ; Vanessa H. BAL, Auteur ; Audrey E. THURM, Auteur ; Amy N. ESLER, Auteur ; Stephen M. KANNE, Auteur ; So Hyun KIM, Auteur ; Catherine LORD, Auteur ; China PARENTEAU, Auteur ; Kerri P. NOWELL, Auteur ; Jane E. ROBERTS, Auteur ; Nicole TAKAHASHI, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.1403-1413 Langues : Anglais (eng) Mots-clés : Autism  autism spectrum disorder  ADI-R  diagnosis  sensitivity  specificity  diagnostic instruments Index. décimale : PER Périodiques Résumé : Background The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part of the diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivity and specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journal of Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which are only applicable to children under 4?years. The current study developed DSM-5-based algorithms for children ages 4?17?years and examined their performance compared to clinical diagnosis and to the original DSM-IV-based algorithms. Methods Participants included 2,905 cases (2,144 ASD, 761 non-ASD) from clinical-research databanks. Children were clinically referred for ASD-related concerns or recruited for ASD-focused research projects, and their caregivers completed the ADI-R as part of a comprehensive diagnostic assessment. Items relevant to DSM-5 ASD criteria were selected for the new algorithms primarily based on their ability to discriminate ASD from non-ASD cases. Algorithms were created for individuals with and without reported use of phrase speech. Confirmatory factor analysis tested the fit of a DSM-5-based two-factor structure. ROC curve analyses examined the diagnostic accuracy of the revised algorithms compared to clinical diagnosis. Results The two-factor structure of the revised ADI-R algorithms showed adequate fit. Sensitivity of the original ADI-R algorithm ranged from 74% to 96%, and specificity ranged from 38% to 83%. The revised DSM-5-based algorithms performed similarly or better, with sensitivity ranging from 77% to 99% and specificity ranging from 71% to 92%. Conclusions In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner. En ligne : https://doi.org/10.1111/jcpp.14159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=566 [article] DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years [Texte imprimé et/ou numérique] / Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Lindsay OLSON, Auteur ; Vanessa H. BAL, Auteur ; Audrey E. THURM, Auteur ; Amy N. ESLER, Auteur ; Stephen M. KANNE, Auteur ; So Hyun KIM, Auteur ; Catherine LORD, Auteur ; China PARENTEAU, Auteur ; Kerri P. NOWELL, Auteur ; Jane E. ROBERTS, Auteur ; Nicole TAKAHASHI, Auteur ; Somer L. BISHOP, Auteur . - p.1403-1413. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-9 (September 2025) . - p.1403-1413 Mots-clés : Autism  autism spectrum disorder  ADI-R  diagnosis  sensitivity  specificity  diagnostic instruments Index. décimale : PER Périodiques Résumé : Background The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part of the diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivity and specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journal of Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which are only applicable to children under 4?years. The current study developed DSM-5-based algorithms for children ages 4?17?years and examined their performance compared to clinical diagnosis and to the original DSM-IV-based algorithms. Methods Participants included 2,905 cases (2,144 ASD, 761 non-ASD) from clinical-research databanks. Children were clinically referred for ASD-related concerns or recruited for ASD-focused research projects, and their caregivers completed the ADI-R as part of a comprehensive diagnostic assessment. Items relevant to DSM-5 ASD criteria were selected for the new algorithms primarily based on their ability to discriminate ASD from non-ASD cases. Algorithms were created for individuals with and without reported use of phrase speech. Confirmatory factor analysis tested the fit of a DSM-5-based two-factor structure. ROC curve analyses examined the diagnostic accuracy of the revised algorithms compared to clinical diagnosis. Results The two-factor structure of the revised ADI-R algorithms showed adequate fit. Sensitivity of the original ADI-R algorithm ranged from 74% to 96%, and specificity ranged from 38% to 83%. The revised DSM-5-based algorithms performed similarly or better, with sensitivity ranging from 77% to 99% and specificity ranging from 71% to 92%. Conclusions In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner. En ligne : https://doi.org/10.1111/jcpp.14159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=566

Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder / Bosi CHEN in Journal of Child Psychology and Psychiatry, 62-2 (February 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.160-170 Titre : Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Bosi CHEN, Auteur ; Annika LINKE, Auteur ; Lindsay OLSON, Auteur ; Cynthia IBARRA, Auteur ; Sarah REYNOLDS, Auteur ; Ralph-Axel MULLER, Auteur ; Mikaela KINNEAR, Auteur ; Inna FISHMAN, Auteur Année de publication : 2021 Article en page(s) : p.160-170 Langues : Anglais (eng) Mots-clés : Brain networks  autism spectrum disorders  early childhood  functional connectivity  neuroimaging Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of autism spectrum disorder (ASD) emerge in the first years of life. Yet, little is known about the organization and development of functional brain networks in ASD proximally to the symptom onset. Further, the relationship between brain network connectivity and emerging ASD symptoms and overall functioning in early childhood is not well understood. METHODS: Resting-state fMRI data were acquired during natural sleep from 24 young children with ASD and 23 typically developing (TD) children, aged 17-45 months. Intrinsic functional connectivity (iFC) within and between resting-state functional networks was derived with independent component analysis (ICA). RESULTS: Increased iFC between visual and sensorimotor networks was found in young children with ASD compared to TD participants. Within the ASD group, the degree of overconnectivity between visual and sensorimotor networks was associated with greater autism symptoms. Age-related weakening of the visual-auditory between-network connectivity was observed in the ASD but not the TD group. CONCLUSIONS: Taken together, these results provide evidence for disrupted functional network maturation and differentiation, particularly involving visual and sensorimotor networks, during the first years of life in ASD. The observed pattern of greater visual-sensorimotor between-network connectivity associated with poorer clinical outcomes suggests that disruptions in multisensory brain circuitry may play a critical role for early development of behavioral skills and autism symptomatology in young children with ASD. En ligne : http://dx.doi.org/10.1111/jcpp.13268 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440 [article] Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder [Texte imprimé et/ou numérique] / Bosi CHEN, Auteur ; Annika LINKE, Auteur ; Lindsay OLSON, Auteur ; Cynthia IBARRA, Auteur ; Sarah REYNOLDS, Auteur ; Ralph-Axel MULLER, Auteur ; Mikaela KINNEAR, Auteur ; Inna FISHMAN, Auteur . - 2021 . - p.160-170. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.160-170 Mots-clés : Brain networks  autism spectrum disorders  early childhood  functional connectivity  neuroimaging Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of autism spectrum disorder (ASD) emerge in the first years of life. Yet, little is known about the organization and development of functional brain networks in ASD proximally to the symptom onset. Further, the relationship between brain network connectivity and emerging ASD symptoms and overall functioning in early childhood is not well understood. METHODS: Resting-state fMRI data were acquired during natural sleep from 24 young children with ASD and 23 typically developing (TD) children, aged 17-45 months. Intrinsic functional connectivity (iFC) within and between resting-state functional networks was derived with independent component analysis (ICA). RESULTS: Increased iFC between visual and sensorimotor networks was found in young children with ASD compared to TD participants. Within the ASD group, the degree of overconnectivity between visual and sensorimotor networks was associated with greater autism symptoms. Age-related weakening of the visual-auditory between-network connectivity was observed in the ASD but not the TD group. CONCLUSIONS: Taken together, these results provide evidence for disrupted functional network maturation and differentiation, particularly involving visual and sensorimotor networks, during the first years of life in ASD. The observed pattern of greater visual-sensorimotor between-network connectivity associated with poorer clinical outcomes suggests that disruptions in multisensory brain circuitry may play a critical role for early development of behavioral skills and autism symptomatology in young children with ASD. En ligne : http://dx.doi.org/10.1111/jcpp.13268 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440

Uh and um in children with autism spectrum disorders or language impairment / Kyle GORMAN in Autism Research, 9-8 (August 2016)  

Public ISBD [article]  inAutism Research > 9-8 (August 2016) . - p.854-865 Titre : Uh and um in children with autism spectrum disorders or language impairment Type de document : Texte imprimé et/ou numérique Auteurs : Kyle GORMAN, Auteur ; Lindsay OLSON, Auteur ; Alison Presmanes HILL, Auteur ; Rebecca LUNSFORD, Auteur ; Peter A. HEEMAN, Auteur ; Jan P. H. VAN SANTEN, Auteur Article en page(s) : p.854-865 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  language impairment  social communication  conversational reciprocity  pragmatic language  disfluency  fillers Index. décimale : PER Périodiques Résumé : Atypical pragmatic language is often present in individuals with autism spectrum disorders (ASD), along with delays or deficits in structural language. This study investigated the use of the “fillers” uh and um by children ages 4–8 during the autism diagnostic observation schedule. Fillers reflect speakers' difficulties with planning and delivering speech, but they also serve communicative purposes, such as negotiating control of the floor or conveying uncertainty. We hypothesized that children with ASD would use different patterns of fillers compared to peers with typical development or with specific language impairment (SLI), reflecting differences in social ability and communicative intent. Regression analyses revealed that children in the ASD group were much less likely to use um than children in the other two groups. Filler use is an easy-to-quantify feature of behavior that, in concert with other observations, may help to distinguish ASD from SLI. Autism Res 2016, 9: 854–865. © 2016 En ligne : http://dx.doi.org/10.1002/aur.1578 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=293 [article] Uh and um in children with autism spectrum disorders or language impairment [Texte imprimé et/ou numérique] / Kyle GORMAN, Auteur ; Lindsay OLSON, Auteur ; Alison Presmanes HILL, Auteur ; Rebecca LUNSFORD, Auteur ; Peter A. HEEMAN, Auteur ; Jan P. H. VAN SANTEN, Auteur . - p.854-865. Langues : Anglais (eng) in Autism Research > 9-8 (August 2016) . - p.854-865 Mots-clés : autism spectrum disorders  language impairment  social communication  conversational reciprocity  pragmatic language  disfluency  fillers Index. décimale : PER Périodiques Résumé : Atypical pragmatic language is often present in individuals with autism spectrum disorders (ASD), along with delays or deficits in structural language. This study investigated the use of the “fillers” uh and um by children ages 4–8 during the autism diagnostic observation schedule. Fillers reflect speakers' difficulties with planning and delivering speech, but they also serve communicative purposes, such as negotiating control of the floor or conveying uncertainty. We hypothesized that children with ASD would use different patterns of fillers compared to peers with typical development or with specific language impairment (SLI), reflecting differences in social ability and communicative intent. Regression analyses revealed that children in the ASD group were much less likely to use um than children in the other two groups. Filler use is an easy-to-quantify feature of behavior that, in concert with other observations, may help to distinguish ASD from SLI. Autism Res 2016, 9: 854–865. © 2016 En ligne : http://dx.doi.org/10.1002/aur.1578 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=293

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