51 recherche sur le mot-clé 'Classification'

Annual Research Review: Categories versus dimensions in the classification and conceptualisation of child and adolescent mental disorders – implications of recent empirical / David R. COGHILL in Journal of Child Psychology and Psychiatry, 53-5 (May 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.469-489 Titre : Annual Research Review: Categories versus dimensions in the classification and conceptualisation of child and adolescent mental disorders – implications of recent empirical Type de document : Texte imprimé et/ou numérique Auteurs : David R. COGHILL, Auteur ; Edmund J. S. SONUGA-BARKE, Auteur Année de publication : 2012 Article en page(s) : p.469-489 Langues : Anglais (eng) Mots-clés : Assessment  classification  diagnosis  DSM  factor analysis  ICD  taxometrics Index. décimale : PER Périodiques Résumé : The question of whether child and adolescent mental disorders are best classified using dimensional or categorical approaches is a contentious one that has equally profound implications for clinical practice and scientific enquiry. Here, we explore this issue in the context of the forth coming publication of the DSM-5 and ICD-11 approaches to classification and diagnosis and in the light of recent empirical studies. First, we provide an overview of current category-based systems and dimensional alternatives. Second, we distinguish the various strands of meaning and levels of analysis implied when we talk about categories and dimensions of mental disorder – distinguishing practical clinical necessity, formal diagnostic systems, meta-theoretical beliefs and empirical reality. Third, we introduce the different statistical techniques developed to identify disorder dimensions and categories in childhood populations and to test between categorical and dimensional models. Fourth, we summarise the empirical evidence from recent taxometric studies in favour of the ‘taxonomic hypothesis’ that mental disorder categories reflect discrete entities with putative specific causes. Finally, we explore the implications of these findings for clinical practice and science. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2011.02511.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154 [article] Annual Research Review: Categories versus dimensions in the classification and conceptualisation of child and adolescent mental disorders – implications of recent empirical [Texte imprimé et/ou numérique] / David R. COGHILL, Auteur ; Edmund J. S. SONUGA-BARKE, Auteur . - 2012 . - p.469-489. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.469-489 Mots-clés : Assessment  classification  diagnosis  DSM  factor analysis  ICD  taxometrics Index. décimale : PER Périodiques Résumé : The question of whether child and adolescent mental disorders are best classified using dimensional or categorical approaches is a contentious one that has equally profound implications for clinical practice and scientific enquiry. Here, we explore this issue in the context of the forth coming publication of the DSM-5 and ICD-11 approaches to classification and diagnosis and in the light of recent empirical studies. First, we provide an overview of current category-based systems and dimensional alternatives. Second, we distinguish the various strands of meaning and levels of analysis implied when we talk about categories and dimensions of mental disorder – distinguishing practical clinical necessity, formal diagnostic systems, meta-theoretical beliefs and empirical reality. Third, we introduce the different statistical techniques developed to identify disorder dimensions and categories in childhood populations and to test between categorical and dimensional models. Fourth, we summarise the empirical evidence from recent taxometric studies in favour of the ‘taxonomic hypothesis’ that mental disorder categories reflect discrete entities with putative specific causes. Finally, we explore the implications of these findings for clinical practice and science. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2011.02511.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154

Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions / Troy VARGASON in Research in Autism Spectrum Disorders, 77 (September 2020)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 77 (September 2020) . - 101644 Titre : Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions Type de document : Texte imprimé et/ou numérique Auteurs : Troy VARGASON, Auteur ; Emily ROTH, Auteur ; Genevieve GRIVAS, Auteur ; Jennifer FERINA, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur Article en page(s) : 101644 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Co-occurring conditions  Folate-dependent one-carbon metabolism  Transsulfuration  Multivariate analysis  Classification Index. décimale : PER Périodiques Résumé : Background Previous studies have found plasma measurements of metabolites from the folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathways to be useful for differentiating individuals with autism spectrum disorder (ASD) from their typically developing peers. However, ASD is heterogeneous due to wide variation in the presence of co-occurring behavioral and medical conditions, and it is unknown how these conditions influence the ability to identify ASD based on FOCM/TS metabolites. Method This study employs a previously developed multivariate model that makes use of five FOCM/TS measurements (S-adenosylmethionine/S-adenosylhomocysteine, glutamylcysteine, glutathione disulfide, free cystine/free cysteine, and percent oxidized glutathione) to distinguish children with ASD from typically developing children. The model is used here to evaluate an independent cohort of individuals having ASD with diagnosed co-occurring conditions (age range 2–17 years old) and assess classifier performance in the presence/absence of these conditions. The four categories of co-occurring conditions considered were allergic disorders, gastrointestinal disorders, immune/metabolic disorders, and neurological disorders. All data were collected and retrospectively analyzed from previous clinical studies. Results The model was able to identify 124 of 131 participants with ASD (94.7 %) correctly regardless of co-occurring condition status. Model performance was generally not sensitive to the absence or presence of most co-occurring conditions, with the exceptions of ever/never having allergies or gastrointestinal symptoms, or currently (not) having any condition, all of which had minor impacts on model prediction accuracy. Conclusion The results of this exploratory study suggest that a FOCM/TS-based classifier for diagnosing ASD may potentially be robust to variations in co-occurring conditions and potentially applicable across ASD subtypes. Larger, more comprehensive follow-up studies with typically developing and/or developmentally delayed control groups are required to provide a more conclusive assessment of classifier robustness to co-occurring conditions. En ligne : https://doi.org/10.1016/j.rasd.2020.101644 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432 [article] Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions [Texte imprimé et/ou numérique] / Troy VARGASON, Auteur ; Emily ROTH, Auteur ; Genevieve GRIVAS, Auteur ; Jennifer FERINA, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur . - 101644. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 77 (September 2020) . - 101644 Mots-clés : Autism spectrum disorder  Co-occurring conditions  Folate-dependent one-carbon metabolism  Transsulfuration  Multivariate analysis  Classification Index. décimale : PER Périodiques Résumé : Background Previous studies have found plasma measurements of metabolites from the folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathways to be useful for differentiating individuals with autism spectrum disorder (ASD) from their typically developing peers. However, ASD is heterogeneous due to wide variation in the presence of co-occurring behavioral and medical conditions, and it is unknown how these conditions influence the ability to identify ASD based on FOCM/TS metabolites. Method This study employs a previously developed multivariate model that makes use of five FOCM/TS measurements (S-adenosylmethionine/S-adenosylhomocysteine, glutamylcysteine, glutathione disulfide, free cystine/free cysteine, and percent oxidized glutathione) to distinguish children with ASD from typically developing children. The model is used here to evaluate an independent cohort of individuals having ASD with diagnosed co-occurring conditions (age range 2–17 years old) and assess classifier performance in the presence/absence of these conditions. The four categories of co-occurring conditions considered were allergic disorders, gastrointestinal disorders, immune/metabolic disorders, and neurological disorders. All data were collected and retrospectively analyzed from previous clinical studies. Results The model was able to identify 124 of 131 participants with ASD (94.7 %) correctly regardless of co-occurring condition status. Model performance was generally not sensitive to the absence or presence of most co-occurring conditions, with the exceptions of ever/never having allergies or gastrointestinal symptoms, or currently (not) having any condition, all of which had minor impacts on model prediction accuracy. Conclusion The results of this exploratory study suggest that a FOCM/TS-based classifier for diagnosing ASD may potentially be robust to variations in co-occurring conditions and potentially applicable across ASD subtypes. Larger, more comprehensive follow-up studies with typically developing and/or developmentally delayed control groups are required to provide a more conclusive assessment of classifier robustness to co-occurring conditions. En ligne : https://doi.org/10.1016/j.rasd.2020.101644 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432

Classification of Children With Autism Spectrum Disorder by Sensory Subtype: A Case for Sensory-Based Phenotypes / Alison E. LANE in Autism Research, 7-3 (June 2014)  

Public ISBD [article]  inAutism Research > 7-3 (June 2014) . - p.322-333 Titre : Classification of Children With Autism Spectrum Disorder by Sensory Subtype: A Case for Sensory-Based Phenotypes Type de document : Texte imprimé et/ou numérique Auteurs : Alison E. LANE, Auteur ; Cynthia A. MOLLOY, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.322-333 Langues : Anglais (eng) Mots-clés : sensory  autism  phenotypes  subtypes  children  classification  model-based cluster analysis  Short Sensory Profile Index. décimale : PER Périodiques Résumé : This study examines whether sensory differences can be used to classify meaningful subgroups of children with autism spectrum disorder (ASD). Caregivers of children with ASD aged 2–10 years (n?=?228) completed the Short Sensory Profile. Model-based cluster analysis was used to extract sensory subtypes. The relationship of these subtypes to age, gender, autism symptom severity, and nonverbal intelligence quotient (IQ) was further explored. Four distinct sensory subtypes were identified: (a) sensory adaptive; (b) taste smell sensitive; (c) postural inattentive; and (d) generalized sensory difference. The sensory subtypes differ from each other on two dimensions: (a) the severity of reported sensory differences; and (b) the focus of differences across auditory, taste, smell, vestibular and proprioceptive domains. Examination of the clinical features of each subtype reveals two possible mechanisms of sensory disturbance in autism: (a) sensory hyperreactivity; and (b) difficulties with multisensory processing. Further, the sensory subtypes are not well explained by other variables such as age, gender, IQ, and autism symptom severity. We conclude that classification of children using sensory differences offers a promising method by which to identify phenotypes in ASD. Sensory-based phenotypes may be useful in identifying behavioral features responsive to specific interventions thereby improving intervention effectiveness. Further validation of the sensory-based phenotypes by establishing neural and physiological correlates is recommended. Autism Res 2014, 7: 322–333. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1368 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=235 [article] Classification of Children With Autism Spectrum Disorder by Sensory Subtype: A Case for Sensory-Based Phenotypes [Texte imprimé et/ou numérique] / Alison E. LANE, Auteur ; Cynthia A. MOLLOY, Auteur ; Somer L. BISHOP, Auteur . - p.322-333. Langues : Anglais (eng) in Autism Research > 7-3 (June 2014) . - p.322-333 Mots-clés : sensory  autism  phenotypes  subtypes  children  classification  model-based cluster analysis  Short Sensory Profile Index. décimale : PER Périodiques Résumé : This study examines whether sensory differences can be used to classify meaningful subgroups of children with autism spectrum disorder (ASD). Caregivers of children with ASD aged 2–10 years (n?=?228) completed the Short Sensory Profile. Model-based cluster analysis was used to extract sensory subtypes. The relationship of these subtypes to age, gender, autism symptom severity, and nonverbal intelligence quotient (IQ) was further explored. Four distinct sensory subtypes were identified: (a) sensory adaptive; (b) taste smell sensitive; (c) postural inattentive; and (d) generalized sensory difference. The sensory subtypes differ from each other on two dimensions: (a) the severity of reported sensory differences; and (b) the focus of differences across auditory, taste, smell, vestibular and proprioceptive domains. Examination of the clinical features of each subtype reveals two possible mechanisms of sensory disturbance in autism: (a) sensory hyperreactivity; and (b) difficulties with multisensory processing. Further, the sensory subtypes are not well explained by other variables such as age, gender, IQ, and autism symptom severity. We conclude that classification of children using sensory differences offers a promising method by which to identify phenotypes in ASD. Sensory-based phenotypes may be useful in identifying behavioral features responsive to specific interventions thereby improving intervention effectiveness. Further validation of the sensory-based phenotypes by establishing neural and physiological correlates is recommended. Autism Res 2014, 7: 322–333. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1368 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=235

Annual Research Review: Re-thinking the classification of autism spectrum disorders / Catherine LORD in Journal of Child Psychology and Psychiatry, 53-5 (May 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.490-509 Titre : Annual Research Review: Re-thinking the classification of autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Catherine LORD, Auteur ; Rebecca M. JONES, Auteur Année de publication : 2012 Article en page(s) : p.490-509 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  dimensions  classification  diagnosisDSM-IV  DSM-5  development; Index. décimale : PER Périodiques Résumé : Background:  The nosology of autism spectrum disorders (ASD) is at a critical point in history as the field seeks to better define dimensions of social-communication deficits and restricted/repetitive behaviors on an individual level for both clinical and neurobiological purposes. These different dimensions also suggest an increasing need for quantitative measures that accurately map their differences, independent of developmental factors such as age, language level and IQ. Method:  Psychometric measures, clinical observation as well as genetic, neurobiological and physiological research from toddlers, children and adults with ASD are reviewed. Results:  The question of how to conceptualize ASDs along dimensions versus categories is discussed within the nosology of autism and the proposed changes to the DSM-5 and ICD-11. Differences across development are incorporated into the new classification frameworks. Conclusions:  It is crucial to balance the needs of clinical practice in ASD diagnostic systems, with neurobiologically based theories that address the associations between social-communication and restricted/repetitive dimensions in individuals. Clarifying terminology, improving description of the core features of ASD and other dimensions that interact with them and providing more valid and reliable ways to quantify them, both for research and clinical purposes, will move forward both practice and science. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02547.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154 [article] Annual Research Review: Re-thinking the classification of autism spectrum disorders [Texte imprimé et/ou numérique] / Catherine LORD, Auteur ; Rebecca M. JONES, Auteur . - 2012 . - p.490-509. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.490-509 Mots-clés : Autism spectrum disorders  dimensions  classification  diagnosisDSM-IV  DSM-5  development; Index. décimale : PER Périodiques Résumé : Background:  The nosology of autism spectrum disorders (ASD) is at a critical point in history as the field seeks to better define dimensions of social-communication deficits and restricted/repetitive behaviors on an individual level for both clinical and neurobiological purposes. These different dimensions also suggest an increasing need for quantitative measures that accurately map their differences, independent of developmental factors such as age, language level and IQ. Method:  Psychometric measures, clinical observation as well as genetic, neurobiological and physiological research from toddlers, children and adults with ASD are reviewed. Results:  The question of how to conceptualize ASDs along dimensions versus categories is discussed within the nosology of autism and the proposed changes to the DSM-5 and ICD-11. Differences across development are incorporated into the new classification frameworks. Conclusions:  It is crucial to balance the needs of clinical practice in ASD diagnostic systems, with neurobiologically based theories that address the associations between social-communication and restricted/repetitive dimensions in individuals. Clarifying terminology, improving description of the core features of ASD and other dimensions that interact with them and providing more valid and reliable ways to quantify them, both for research and clinical purposes, will move forward both practice and science. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02547.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154

Adaptation, Content Validity and Reliability of the Autism Classification System of Functioning for Social Communication: From Toddlerhood to Adolescent-Aged Children with Autism / Briano DI REZZE in Journal of Autism and Developmental Disorders, 52-12 (December 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5150-5161 Titre : Adaptation, Content Validity and Reliability of the Autism Classification System of Functioning for Social Communication: From Toddlerhood to Adolescent-Aged Children with Autism Type de document : Texte imprimé et/ou numérique Auteurs : Briano DI REZZE, Auteur ; Stephen James GENTLES, Auteur ; Mary Jo Cooley HIDECKER, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Peter ROSENBAUM, Auteur ; Eric DUKU, Auteur ; Stelios GEORGIADES, Auteur ; Caroline RONCADIN, Auteur ; Hanna FANG, Auteur ; Diana J. TAJIK-PARVINCHI, Auteur ; Helena VIVEIROS, Auteur Année de publication : 2022 Article en page(s) : p.5150-5161 Langues : Anglais (eng) Mots-clés : Child  Adolescent  Humans  Aged  Child, Preschool  Autism Spectrum Disorder  Autistic Disorder/diagnosis  Reproducibility of Results  Communication  Parents  Autism spectrum disorder  Childhood  Classification  International classification of functioning  Social communication Index. décimale : PER Périodiques Résumé : The Autism Classification System of Functioning: Social Communication (ACSF) describes social communication functioning levels. First developed for preschoolers with ASD, this study tests an expanded age range (2-to-18 years). The ACFS rates the child's typical and best (i.e., capacity) performance. Qualitative methods tested parent and clinician perspectives of the ACSF age expansion using content analysis. The ACSF was used twice by parents and professionals for the same child/youth. Reliabilities were assessed using weighted kappa. Content validity supported the ACSF's applicability, clarity, and usability. The ACSF adaptations did not change its original construct. Reliability were calculated from 90 parent and professional Time-1 and Time-2 ratings for children/youth (2.1-15.6 years). Results showed good-to-very good intra-rater agreement (typical) and good inter-rater agreement (capacity). En ligne : http://dx.doi.org/10.1007/s10803-022-05621-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 [article] Adaptation, Content Validity and Reliability of the Autism Classification System of Functioning for Social Communication: From Toddlerhood to Adolescent-Aged Children with Autism [Texte imprimé et/ou numérique] / Briano DI REZZE, Auteur ; Stephen James GENTLES, Auteur ; Mary Jo Cooley HIDECKER, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Peter ROSENBAUM, Auteur ; Eric DUKU, Auteur ; Stelios GEORGIADES, Auteur ; Caroline RONCADIN, Auteur ; Hanna FANG, Auteur ; Diana J. TAJIK-PARVINCHI, Auteur ; Helena VIVEIROS, Auteur . - 2022 . - p.5150-5161. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5150-5161 Mots-clés : Child  Adolescent  Humans  Aged  Child, Preschool  Autism Spectrum Disorder  Autistic Disorder/diagnosis  Reproducibility of Results  Communication  Parents  Autism spectrum disorder  Childhood  Classification  International classification of functioning  Social communication Index. décimale : PER Périodiques Résumé : The Autism Classification System of Functioning: Social Communication (ACSF) describes social communication functioning levels. First developed for preschoolers with ASD, this study tests an expanded age range (2-to-18 years). The ACFS rates the child's typical and best (i.e., capacity) performance. Qualitative methods tested parent and clinician perspectives of the ACSF age expansion using content analysis. The ACSF was used twice by parents and professionals for the same child/youth. Reliabilities were assessed using weighted kappa. Content validity supported the ACSF's applicability, clarity, and usability. The ACSF adaptations did not change its original construct. Reliability were calculated from 90 parent and professional Time-1 and Time-2 ratings for children/youth (2.1-15.6 years). Results showed good-to-very good intra-rater agreement (typical) and good inter-rater agreement (capacity). En ligne : http://dx.doi.org/10.1007/s10803-022-05621-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489

Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients / A. DAHAN in Journal of Autism and Developmental Disorders, 51-9 (September 2021)  

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Development of the Social Motor Function Classification System for Children with Autism Spectrum Disorders: A Psychometric Study / T. W. PIN in Journal of Autism and Developmental Disorders, 51-6 (June 2021)  

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Mise à l'essai de l'utilisation d'un modèle de classification d'erreurs en mathématiques pour cibler l'intervention rééducative / Josée NADEAU in Approche Neuropsychologique des Apprentissages chez l'Enfant - A.N.A.E., 187 (Décembre 2023)

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Replication study of ADOS-2 Toddler Module cut-off scores for autism spectrum disorder classification / J. S. HONG in Autism Research, 14-6 (June 2021)  

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Research Review: Child psychiatric diagnosis and classification: concepts, findings, challenges and potential / Michael RUTTER in Journal of Child Psychology and Psychiatry, 52-6 (June 2011)  

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