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 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 I. 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] / 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 I. 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

Externalizing Behaviors are Associated with Increased Parenting Stress in Caregivers of Young Children with Autism / Lindsay OLSON in Journal of Autism and Developmental Disorders, 52-3 (March 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.975-986 Titre : Externalizing Behaviors are Associated with Increased Parenting Stress in Caregivers of Young Children with Autism Type de document : texte imprimé Auteurs : Lindsay OLSON, Auteur ; Bosi CHEN, Auteur ; Cynthia IBARRA, Auteur ; Tiffany WANG, Auteur ; Lisa E. MASH, Auteur ; Annika LINKE, Auteur ; Mikaela KINNEAR, Auteur ; Inna FISHMAN, Auteur Article en page(s) : p.975-986 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Caregivers  Child  Child, Preschool  Humans  Parenting  Parents  Asd  Early childhood  Externalizing behaviors  Parental stress Index. décimale : PER Périodiques Résumé : Parents of children diagnosed with autism spectrum disorder (ASD) report higher levels of stress than parents of typically developing children. Few studies have examined factors associated with parental stress in early childhood. Even fewer have investigated the simultaneous influence of sociodemographic, clinical, and developmental variables on parental stress. We examined factors associated with stress in parents of young children with ASD. Multiple regression models were used to test for associations between socioeconomic indices, developmental measures, and parental stress. Externalizing behaviors, communication, and socialization skills accounted for variance in parental stress, controlling for ASD diagnosis. Results highlight the importance of interventions aimed at reducing externalizing behaviors in young children as well as addressing stress in caregivers of children with ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-04995-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] Externalizing Behaviors are Associated with Increased Parenting Stress in Caregivers of Young Children with Autism [texte imprimé] / Lindsay OLSON, Auteur ; Bosi CHEN, Auteur ; Cynthia IBARRA, Auteur ; Tiffany WANG, Auteur ; Lisa E. MASH, Auteur ; Annika LINKE, Auteur ; Mikaela KINNEAR, Auteur ; Inna FISHMAN, Auteur . - p.975-986. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.975-986 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Caregivers  Child  Child, Preschool  Humans  Parenting  Parents  Asd  Early childhood  Externalizing behaviors  Parental stress Index. décimale : PER Périodiques Résumé : Parents of children diagnosed with autism spectrum disorder (ASD) report higher levels of stress than parents of typically developing children. Few studies have examined factors associated with parental stress in early childhood. Even fewer have investigated the simultaneous influence of sociodemographic, clinical, and developmental variables on parental stress. We examined factors associated with stress in parents of young children with ASD. Multiple regression models were used to test for associations between socioeconomic indices, developmental measures, and parental stress. Externalizing behaviors, communication, and socialization skills accounted for variance in parental stress, controlling for ASD diagnosis. Results highlight the importance of interventions aimed at reducing externalizing behaviors in young children as well as addressing stress in caregivers of children with ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-04995-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

Functional connectivity patterns differ as a function of co-occurring attentional problems in preschoolers with autism / Alex BOXBERGER in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Functional connectivity patterns differ as a function of co-occurring attentional problems in preschoolers with autism Type de document : texte imprimé Auteurs : Alex BOXBERGER, Auteur ; Bosi CHEN, Auteur ; Lindsay OLSON, Auteur ; Michaela CORDOVA, Auteur ; Judy MAHMALJI, Auteur ; Adriana RIOS, Auteur ; Annika C. LINKE, Auteur ; Inna FISHMAN, Auteur Langues : Anglais (eng) Mots-clés : Humans  Child, Preschool  Male  Female  Autism Spectrum Disorder/physiopathology/diagnostic imaging/complications  Attention Deficit Disorder with Hyperactivity/physiopathology/diagnostic  imaging/complications/epidemiology  Magnetic Resonance Imaging  Infant  Connectome  Brain/physiopathology/diagnostic imaging  Nerve Net/physiopathology/diagnostic imaging  Child Development/physiology  Attention  Autism spectrum  Early development  Functional MRI  Network connectivity  was approved by the institutional review boards of the University of California  San Diego and San Diego State University (Joint Review IRB #151091). Informed  consent was obtained from caregivers of all children included in the study.  Consent for publication: Not applicable. Competing interests: The authors declare  no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of attention-deficit/hyperactivity disorder (ADHD) are common in children with autism spectrum disorder (ASD), and are associated with greater developmental challenges, poorer clinical outcomes, and alterations in functional connectivity (FC) of the brain. However, despite the consensus that ASD and other neurodevelopmental conditions emerge early in life, little is known about the trajectories of brain and behavioral development during the first years of life in children with ASD and co-occurring attention problems (AP). METHODS: In a sample of 122 young children (ages 1.5-5 years) with and without ASD, we examined whether toddlers and preschoolers with ASD and co-occurring AP already differ from peers with ASD without co-occurring AP on adaptive and developmental skills, ASD symptoms, and FC of the frontoparietal and salience networks, which have been previously linked to ADHD symptoms in older children with ASD and ADHD. RESULTS: Results of general linear model analyses revealed lower developmental and adaptive skills across multiple domains in children with ASD and elevated AP compared with their peers with lower AP, despite equivalent levels of ASD symptoms. Further, children with ASD and elevated AP showed reduced FC within the frontoparietal network (p = .027), between the frontoparietal and language networks (p = .004), and the frontoparietal and default mode networks (p = .046) in comparison to their peers with lower AP. No group differences in FC of the salience network were observed (all p > .05). CONCLUSIONS: These findings provide evidence that neurodevelopmental and behavioral differences in children with ASD and co-occurring AP emerge very early in life, before a reliable diagnosis of ADHD is typically made. Specifically, these results demonstrate that early inattention symptoms are associated with unique connectivity patterns in executive circuitry as early as the first years of life in toddlers and preschoolers with ASD, likely contributing to the phenotypic and neural heterogeneity recognized in autism. Thus, our results underscore the importance of considering co-occurring conditions early in developmental research and clinical care, as further understanding these trajectories can inform early interventions during the critical time period when they have the greatest potential for positive impact. En ligne : https://dx.doi.org/10.1186/s11689-025-09650-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Functional connectivity patterns differ as a function of co-occurring attentional problems in preschoolers with autism [texte imprimé] / Alex BOXBERGER, Auteur ; Bosi CHEN, Auteur ; Lindsay OLSON, Auteur ; Michaela CORDOVA, Auteur ; Judy MAHMALJI, Auteur ; Adriana RIOS, Auteur ; Annika C. LINKE, Auteur ; Inna FISHMAN, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Humans  Child, Preschool  Male  Female  Autism Spectrum Disorder/physiopathology/diagnostic imaging/complications  Attention Deficit Disorder with Hyperactivity/physiopathology/diagnostic  imaging/complications/epidemiology  Magnetic Resonance Imaging  Infant  Connectome  Brain/physiopathology/diagnostic imaging  Nerve Net/physiopathology/diagnostic imaging  Child Development/physiology  Attention  Autism spectrum  Early development  Functional MRI  Network connectivity  was approved by the institutional review boards of the University of California  San Diego and San Diego State University (Joint Review IRB #151091). Informed  consent was obtained from caregivers of all children included in the study.  Consent for publication: Not applicable. Competing interests: The authors declare  no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptoms of attention-deficit/hyperactivity disorder (ADHD) are common in children with autism spectrum disorder (ASD), and are associated with greater developmental challenges, poorer clinical outcomes, and alterations in functional connectivity (FC) of the brain. However, despite the consensus that ASD and other neurodevelopmental conditions emerge early in life, little is known about the trajectories of brain and behavioral development during the first years of life in children with ASD and co-occurring attention problems (AP). METHODS: In a sample of 122 young children (ages 1.5-5 years) with and without ASD, we examined whether toddlers and preschoolers with ASD and co-occurring AP already differ from peers with ASD without co-occurring AP on adaptive and developmental skills, ASD symptoms, and FC of the frontoparietal and salience networks, which have been previously linked to ADHD symptoms in older children with ASD and ADHD. RESULTS: Results of general linear model analyses revealed lower developmental and adaptive skills across multiple domains in children with ASD and elevated AP compared with their peers with lower AP, despite equivalent levels of ASD symptoms. Further, children with ASD and elevated AP showed reduced FC within the frontoparietal network (p = .027), between the frontoparietal and language networks (p = .004), and the frontoparietal and default mode networks (p = .046) in comparison to their peers with lower AP. No group differences in FC of the salience network were observed (all p > .05). CONCLUSIONS: These findings provide evidence that neurodevelopmental and behavioral differences in children with ASD and co-occurring AP emerge very early in life, before a reliable diagnosis of ADHD is typically made. Specifically, these results demonstrate that early inattention symptoms are associated with unique connectivity patterns in executive circuitry as early as the first years of life in toddlers and preschoolers with ASD, likely contributing to the phenotypic and neural heterogeneity recognized in autism. Thus, our results underscore the importance of considering co-occurring conditions early in developmental research and clinical care, as further understanding these trajectories can inform early interventions during the critical time period when they have the greatest potential for positive impact. En ligne : https://dx.doi.org/10.1186/s11689-025-09650-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

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 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] / 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

Sex-related patterns of intrinsic functional connectivity in children and adolescents with autism spectrum disorders / Lindsay OLSON in Autism, 24-8 (November 2020)  

Public ISBD [article]  inAutism > 24-8 (November 2020) . - p.2190-2201 Titre : Sex-related patterns of intrinsic functional connectivity in children and adolescents with autism spectrum disorders Type de document : texte imprimé Auteurs : Lindsay OLSON, Auteur ; Lisa E. MASH, Auteur ; Annika LINKE, Auteur ; Christopher H. FONG, Auteur ; Ralph-Axel MULLER, Auteur ; Inna FISHMAN, Auteur Article en page(s) : p.2190-2201 Langues : Anglais (eng) Mots-clés : *autism spectrum disorders  *brain function  *school-age children  interest to report. Index. décimale : PER Périodiques Résumé : We investigated whether children and adolescents with autism spectrum disorders show sex-specific patterns of brain function (using functional magnetic resonance imaging) that are well documented in typically developing males and females. We found, unexpectedly, that boys and girls with autism do not differ in their brain functional connectivity, whereas typically developing boys and girls showed differences in a brain network involved in thinking about self and others (the default mode network). Results suggest that autism may be characterized by a lack of brain sex differentiation. En ligne : http://dx.doi.org/10.1177/1362361320938194 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431 [article] Sex-related patterns of intrinsic functional connectivity in children and adolescents with autism spectrum disorders [texte imprimé] / Lindsay OLSON, Auteur ; Lisa E. MASH, Auteur ; Annika LINKE, Auteur ; Christopher H. FONG, Auteur ; Ralph-Axel MULLER, Auteur ; Inna FISHMAN, Auteur . - p.2190-2201. Langues : Anglais (eng) in Autism > 24-8 (November 2020) . - p.2190-2201 Mots-clés : *autism spectrum disorders  *brain function  *school-age children  interest to report. Index. décimale : PER Périodiques Résumé : We investigated whether children and adolescents with autism spectrum disorders show sex-specific patterns of brain function (using functional magnetic resonance imaging) that are well documented in typically developing males and females. We found, unexpectedly, that boys and girls with autism do not differ in their brain functional connectivity, whereas typically developing boys and girls showed differences in a brain network involved in thinking about self and others (the default mode network). Results suggest that autism may be characterized by a lack of brain sex differentiation. En ligne : http://dx.doi.org/10.1177/1362361320938194 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431

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

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