5 recherche sur le mot-clé 'Principal component analysis'

Parental Beliefs About Causes of Autism Spectrum Disorder: An Investigation of a Research Measure Using Principal Component Analysis / Christie M. BREWTON in Research in Autism Spectrum Disorders, 87 (September 2021)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 87 (September 2021) . - 101825 Titre : Parental Beliefs About Causes of Autism Spectrum Disorder: An Investigation of a Research Measure Using Principal Component Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Christie M. BREWTON, Auteur ; Sarah S. MIRE, Auteur ; Tammy D. TOLAR, Auteur ; Robin P. GOIN-KOCHEL, Auteur ; Milena A. KELLER-MARGULIS, Auteur ; Kimberly D. SCHOGER, Auteur ; Morgan M. MCNEEL, Auteur Article en page(s) : 101825 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Parental perceptions  Etiology  IPQ-R-ASD  Principal component analysis Index. décimale : PER Périodiques Résumé : Background Parents’ perceptions about cause of autism spectrum disorder (ASD) influences their behaviors (e.g., treatment selection, vaccinations). The Revised Illness Perception Questionnaire for ASD (IPQ-R-ASD) offers a systematic way to measure parent parents’ perceptions of ASD cause, but further study is needed. Method Using principal component analysis (PCA), we investigated the factor structure of the IPQ-R-ASD Cause scale, which was administered online, in a sample of 326 North American parents (287 mothers [88 %], 39 fathers) raising children with confirmed ASD diagnoses. Results Six factors emerged on the Cause subscale and were labeled Personal Attributions, Parental Risk Factors, Environmental Risk Factors, Utero/Birth Stress, Biophysiological, and Metaphysical. Together, these factors accounted for a cumulative variance of 61.4 %. All items exceeded the minimum loading to be considered robust, and all but one loaded positively (i.e., “Will of God). Conclusions Understanding parental perceptions about the cause of their children’s ASD may help researchers and clinicians understand important aspects of raising a child with ASD, such as stress and coping responses, treatment selection and implementation, or shared decision-making about service use. Since measurement of causal beliefs is an important initial step in this direction, the current study is helpful in establishing the viability of a measure that may extend this line of research and, ultimately, the instrument’s clinical utility. En ligne : https://doi.org/10.1016/j.rasd.2021.101825 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=458 [article] Parental Beliefs About Causes of Autism Spectrum Disorder: An Investigation of a Research Measure Using Principal Component Analysis [Texte imprimé et/ou numérique] / Christie M. BREWTON, Auteur ; Sarah S. MIRE, Auteur ; Tammy D. TOLAR, Auteur ; Robin P. GOIN-KOCHEL, Auteur ; Milena A. KELLER-MARGULIS, Auteur ; Kimberly D. SCHOGER, Auteur ; Morgan M. MCNEEL, Auteur . - 101825. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 87 (September 2021) . - 101825 Mots-clés : Autism spectrum disorder  Parental perceptions  Etiology  IPQ-R-ASD  Principal component analysis Index. décimale : PER Périodiques Résumé : Background Parents’ perceptions about cause of autism spectrum disorder (ASD) influences their behaviors (e.g., treatment selection, vaccinations). The Revised Illness Perception Questionnaire for ASD (IPQ-R-ASD) offers a systematic way to measure parent parents’ perceptions of ASD cause, but further study is needed. Method Using principal component analysis (PCA), we investigated the factor structure of the IPQ-R-ASD Cause scale, which was administered online, in a sample of 326 North American parents (287 mothers [88 %], 39 fathers) raising children with confirmed ASD diagnoses. Results Six factors emerged on the Cause subscale and were labeled Personal Attributions, Parental Risk Factors, Environmental Risk Factors, Utero/Birth Stress, Biophysiological, and Metaphysical. Together, these factors accounted for a cumulative variance of 61.4 %. All items exceeded the minimum loading to be considered robust, and all but one loaded positively (i.e., “Will of God). Conclusions Understanding parental perceptions about the cause of their children’s ASD may help researchers and clinicians understand important aspects of raising a child with ASD, such as stress and coping responses, treatment selection and implementation, or shared decision-making about service use. Since measurement of causal beliefs is an important initial step in this direction, the current study is helpful in establishing the viability of a measure that may extend this line of research and, ultimately, the instrument’s clinical utility. En ligne : https://doi.org/10.1016/j.rasd.2021.101825 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=458

Cluster Analysis of Autistic Patients Based on Principal Pathogenetic Components / Roberto SACCO in Autism Research, 5-2 (April 2012)  

Public ISBD [article]  inAutism Research > 5-2 (April 2012) . - p.137-147 Titre : Cluster Analysis of Autistic Patients Based on Principal Pathogenetic Components Type de document : Texte imprimé et/ou numérique Auteurs : Roberto SACCO, Auteur ; Carlo LENTI, Auteur ; Monica SACCANI, Auteur ; Paolo CURATOLO, Auteur ; Barbara MANZI, Auteur ; Carmela BRAVACCIO, Auteur ; Antonio M. PERSICO, Auteur Année de publication : 2012 Article en page(s) : p.137-147 Langues : Anglais (eng) Mots-clés : pervasive developmental disorders  cluster analysis  immune system  neurodevelopment  principal component analysis Index. décimale : PER Périodiques Résumé : We have recently described four principal pathogenetic components in autism: (I) circadian and sensory dysfunction, (II) immune abnormalities, (III) neurodevelopmental delay, and (IV) stereotypic behaviors. Using hierarchical and k-means clustering, the same 245 patients assessed in our principal component analysis can be partitioned into four clusters: (a) 43 (17.6%) have prominent immune abnormalities accompanied by some circadian and sensory issues; (b) 44 (18.0%) display major circadian and sensory dysfunction, with little or no immune symptoms; (c) stereotypies predominate in 75 (31.0%); and (d) 83 (33.9%) show a mixture of all four components, with greater disruptive behaviors and mental retardation. The “immune” component provides the largest contributions to phenotypic variance (P = 2.7 x 10–45), followed by “stereotypic behaviors.” These patient clusters may likely differ in genetic and immune underpinnings, developmental trajectories, and response to treatment. En ligne : http://dx.doi.org/10.1002/aur.1226 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=155 [article] Cluster Analysis of Autistic Patients Based on Principal Pathogenetic Components [Texte imprimé et/ou numérique] / Roberto SACCO, Auteur ; Carlo LENTI, Auteur ; Monica SACCANI, Auteur ; Paolo CURATOLO, Auteur ; Barbara MANZI, Auteur ; Carmela BRAVACCIO, Auteur ; Antonio M. PERSICO, Auteur . - 2012 . - p.137-147. Langues : Anglais (eng) in Autism Research > 5-2 (April 2012) . - p.137-147 Mots-clés : pervasive developmental disorders  cluster analysis  immune system  neurodevelopment  principal component analysis Index. décimale : PER Périodiques Résumé : We have recently described four principal pathogenetic components in autism: (I) circadian and sensory dysfunction, (II) immune abnormalities, (III) neurodevelopmental delay, and (IV) stereotypic behaviors. Using hierarchical and k-means clustering, the same 245 patients assessed in our principal component analysis can be partitioned into four clusters: (a) 43 (17.6%) have prominent immune abnormalities accompanied by some circadian and sensory issues; (b) 44 (18.0%) display major circadian and sensory dysfunction, with little or no immune symptoms; (c) stereotypies predominate in 75 (31.0%); and (d) 83 (33.9%) show a mixture of all four components, with greater disruptive behaviors and mental retardation. The “immune” component provides the largest contributions to phenotypic variance (P = 2.7 x 10–45), followed by “stereotypic behaviors.” These patient clusters may likely differ in genetic and immune underpinnings, developmental trajectories, and response to treatment. En ligne : http://dx.doi.org/10.1002/aur.1226 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=155

Principal pathogenetic components and biological endophenotypes in autism spectrum disorders / Roberto SACCO in Autism Research, 3-5 (October 2010)  

Public ISBD [article]  inAutism Research > 3-5 (October 2010) . - p.237-252 Titre : Principal pathogenetic components and biological endophenotypes in autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Roberto SACCO, Auteur ; Paolo CURATOLO, Auteur ; Barbara MANZI, Auteur ; Roberto MILITERNI, Auteur ; Carmela BRAVACCIO, Auteur ; Alessandro FROLLI, Auteur ; Carlo LENTI, Auteur ; Monica SACCANI, Auteur ; Maurizio ELIA, Auteur ; Karl-Ludvig REICHELT, Auteur ; Tiziana PASCUCCI, Auteur ; Stefano PUGLISI-ALLEGRA, Auteur ; Antonio M. PERSICO, Auteur Année de publication : 2010 Article en page(s) : p.237-252 Langues : Anglais (eng) Mots-clés : autistic disorder  macrocephaly  neurodevelopment  pervasive developmental disorders  principal component analysis  serotonin Index. décimale : PER Périodiques Résumé : Autism is a complex neurodevelopmental disorder, likely encompassing multiple pathogenetic components. The aim of this study is to begin identifying at least some of these components and to assess their association with biological endophenotypes. To address this issue, we recruited 245 Italian patients with idiopathic autism spectrum disorders and their first-degree relatives. Using a stepwise approach, patient and family history variables were analyzed using principal component analysis (“exploratory phase”), followed by intra- and inter-component cross-correlation analyses (“follow-up phase”), and by testing for association between each component and biological endophenotypes, namely head circumference, serotonin blood levels, and global urinary peptide excretion rates (“biological correlation phase”). Four independent components were identified, namely “circadian & sensory dysfunction,” “immune dysfunction,” “neurodevelopmental delay,” and “stereotypic behavior,” together representing 74.5% of phenotypic variance in our sample. Marker variables in the latter three components are positively associated with macrocephaly, global peptiduria, and serotonin blood levels, respectively. These four components point toward at least four processes associated with autism, namely (I) a disruption of the circadian cycle associated with behavioral and sensory abnormalities, (II) dysreactive immune processes, surprisingly linked both to prenatal obstetric complications and to excessive postnatal body growth rates, (III) a generalized developmental delay, and (IV) an abnormal neural circuitry underlying stereotypies and early social behaviors. En ligne : http://dx.doi.org/10.1002/aur.151 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=115 [article] Principal pathogenetic components and biological endophenotypes in autism spectrum disorders [Texte imprimé et/ou numérique] / Roberto SACCO, Auteur ; Paolo CURATOLO, Auteur ; Barbara MANZI, Auteur ; Roberto MILITERNI, Auteur ; Carmela BRAVACCIO, Auteur ; Alessandro FROLLI, Auteur ; Carlo LENTI, Auteur ; Monica SACCANI, Auteur ; Maurizio ELIA, Auteur ; Karl-Ludvig REICHELT, Auteur ; Tiziana PASCUCCI, Auteur ; Stefano PUGLISI-ALLEGRA, Auteur ; Antonio M. PERSICO, Auteur . - 2010 . - p.237-252. Langues : Anglais (eng) in Autism Research > 3-5 (October 2010) . - p.237-252 Mots-clés : autistic disorder  macrocephaly  neurodevelopment  pervasive developmental disorders  principal component analysis  serotonin Index. décimale : PER Périodiques Résumé : Autism is a complex neurodevelopmental disorder, likely encompassing multiple pathogenetic components. The aim of this study is to begin identifying at least some of these components and to assess their association with biological endophenotypes. To address this issue, we recruited 245 Italian patients with idiopathic autism spectrum disorders and their first-degree relatives. Using a stepwise approach, patient and family history variables were analyzed using principal component analysis (“exploratory phase”), followed by intra- and inter-component cross-correlation analyses (“follow-up phase”), and by testing for association between each component and biological endophenotypes, namely head circumference, serotonin blood levels, and global urinary peptide excretion rates (“biological correlation phase”). Four independent components were identified, namely “circadian & sensory dysfunction,” “immune dysfunction,” “neurodevelopmental delay,” and “stereotypic behavior,” together representing 74.5% of phenotypic variance in our sample. Marker variables in the latter three components are positively associated with macrocephaly, global peptiduria, and serotonin blood levels, respectively. These four components point toward at least four processes associated with autism, namely (I) a disruption of the circadian cycle associated with behavioral and sensory abnormalities, (II) dysreactive immune processes, surprisingly linked both to prenatal obstetric complications and to excessive postnatal body growth rates, (III) a generalized developmental delay, and (IV) an abnormal neural circuitry underlying stereotypies and early social behaviors. En ligne : http://dx.doi.org/10.1002/aur.151 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=115

Exploring the multidimensional nature of repetitive and restricted behaviors and interests (RRBI) in autism: neuroanatomical correlates and clinical implications / Nicolas TRAUT ; Amandine PEDOUX ; Anna MARUANI ; Anita BEGGIATO ; Monique ELMALEH ; David GERMANAUD ; Anouck AMESTOY ; Myriam LY-LE MOAL ; Christopher CHATHAM ; Lorraine MURTAGH ; Manuel BOUVARD ; Marianne ALISSON ; Marion LEBOYER ; Thomas BOURGERON ; Roberto TORO ; Guillaume DUMAS ; Clara MOREAU ; Richard DELORME in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 45 p. Titre : Exploring the multidimensional nature of repetitive and restricted behaviors and interests (RRBI) in autism: neuroanatomical correlates and clinical implications Type de document : Texte imprimé et/ou numérique Auteurs : Nicolas TRAUT, Auteur ; Amandine PEDOUX, Auteur ; Anna MARUANI, Auteur ; Anita BEGGIATO, Auteur ; Monique ELMALEH, Auteur ; David GERMANAUD, Auteur ; Anouck AMESTOY, Auteur ; Myriam LY-LE MOAL, Auteur ; Christopher CHATHAM, Auteur ; Lorraine MURTAGH, Auteur ; Manuel BOUVARD, Auteur ; Marianne ALISSON, Auteur ; Marion LEBOYER, Auteur ; Thomas BOURGERON, Auteur ; Roberto TORO, Auteur ; Guillaume DUMAS, Auteur ; Clara MOREAU, Auteur ; Richard DELORME, Auteur Article en page(s) : 45 p. Langues : Anglais (eng) Mots-clés : Humans  *Autistic Disorder/diagnostic imaging  *Autism Spectrum Disorder/diagnosis  Neuroanatomy  Magnetic Resonance Imaging  Principal Component Analysis  Cortico-striatal-thalamo-cortical loop  Phenotype  Rrb Index. décimale : PER Périodiques Résumé : BACKGROUND: Repetitive and restricted behaviors and interests (RRBI) are core symptoms of autism with a complex entity and are commonly categorized into 'motor-driven' and 'cognitively driven'. RRBI symptomatology depends on the individual's clinical environment limiting the understanding of RRBI physiology, particularly their associated neuroanatomical structures. The complex RRBI heterogeneity needs to explore the whole RRBI spectrum by integrating the clinical context [autistic individuals, their relatives and typical developing (TD) individuals]. We hypothesized that different RRBI dimensions would emerge by exploring the whole spectrum of RRBI and that these dimensions are associated with neuroanatomical signatures-involving cortical and subcortical areas. METHOD: A sample of 792 individuals composed of 267 autistic subjects, their 370 first-degree relatives and 155 TD individuals was enrolled in the study. We assessed the whole patterns of RRBI in each individual by using the Repetitive Behavior Scale-Revised and the Yale-Brown Obsessive Compulsive Scale. We estimated brain volumes using MRI scanner for a subsample of the subjects (n=152, 42 ASD, 89 relatives and 13 TD). We first investigated the dimensionality of RRBI by performing a principal component analysis on all items of these scales and included all the sampling population. We then explored the relationship between RRBI-derived factors with brain volumes using linear regression models. RESULTS: We identified 3 main factors (with 30.3% of the RRBI cumulative variance): Factor 1 (FA1, 12.7%) reflected mainly the 'motor-driven' RRBI symptoms; Factor 2 and 3 (respectively, 8.8% and 7.9%) gathered mainly Y-BOCS related items and represented the 'cognitively driven' RRBI symptoms. These three factors were significantly associated with the right/left putamen volumes but with opposite effects: FA1 was negatively associated with an increased volume of the right/left putamen conversely to FA2 and FA3 (all uncorrected p<0.05). FA1 was negatively associated with the left amygdala (uncorrected p<0.05), and FA2 was positively associated with the left parietal structure (uncorrected p=0.001). CONCLUSION: Our results suggested 3 coherent RRBI dimensions involving the putamen commonly and other structures according to the RRBI dimension. The exploration of the putamen's integrative role in RSBI needs to be strengthened in further studies. En ligne : https://dx.doi.org/10.1186/s13229-023-00576-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Exploring the multidimensional nature of repetitive and restricted behaviors and interests (RRBI) in autism: neuroanatomical correlates and clinical implications [Texte imprimé et/ou numérique] / Nicolas TRAUT, Auteur ; Amandine PEDOUX, Auteur ; Anna MARUANI, Auteur ; Anita BEGGIATO, Auteur ; Monique ELMALEH, Auteur ; David GERMANAUD, Auteur ; Anouck AMESTOY, Auteur ; Myriam LY-LE MOAL, Auteur ; Christopher CHATHAM, Auteur ; Lorraine MURTAGH, Auteur ; Manuel BOUVARD, Auteur ; Marianne ALISSON, Auteur ; Marion LEBOYER, Auteur ; Thomas BOURGERON, Auteur ; Roberto TORO, Auteur ; Guillaume DUMAS, Auteur ; Clara MOREAU, Auteur ; Richard DELORME, Auteur . - 45 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 45 p. Mots-clés : Humans  *Autistic Disorder/diagnostic imaging  *Autism Spectrum Disorder/diagnosis  Neuroanatomy  Magnetic Resonance Imaging  Principal Component Analysis  Cortico-striatal-thalamo-cortical loop  Phenotype  Rrb Index. décimale : PER Périodiques Résumé : BACKGROUND: Repetitive and restricted behaviors and interests (RRBI) are core symptoms of autism with a complex entity and are commonly categorized into 'motor-driven' and 'cognitively driven'. RRBI symptomatology depends on the individual's clinical environment limiting the understanding of RRBI physiology, particularly their associated neuroanatomical structures. The complex RRBI heterogeneity needs to explore the whole RRBI spectrum by integrating the clinical context [autistic individuals, their relatives and typical developing (TD) individuals]. We hypothesized that different RRBI dimensions would emerge by exploring the whole spectrum of RRBI and that these dimensions are associated with neuroanatomical signatures-involving cortical and subcortical areas. METHOD: A sample of 792 individuals composed of 267 autistic subjects, their 370 first-degree relatives and 155 TD individuals was enrolled in the study. We assessed the whole patterns of RRBI in each individual by using the Repetitive Behavior Scale-Revised and the Yale-Brown Obsessive Compulsive Scale. We estimated brain volumes using MRI scanner for a subsample of the subjects (n=152, 42 ASD, 89 relatives and 13 TD). We first investigated the dimensionality of RRBI by performing a principal component analysis on all items of these scales and included all the sampling population. We then explored the relationship between RRBI-derived factors with brain volumes using linear regression models. RESULTS: We identified 3 main factors (with 30.3% of the RRBI cumulative variance): Factor 1 (FA1, 12.7%) reflected mainly the 'motor-driven' RRBI symptoms; Factor 2 and 3 (respectively, 8.8% and 7.9%) gathered mainly Y-BOCS related items and represented the 'cognitively driven' RRBI symptoms. These three factors were significantly associated with the right/left putamen volumes but with opposite effects: FA1 was negatively associated with an increased volume of the right/left putamen conversely to FA2 and FA3 (all uncorrected p<0.05). FA1 was negatively associated with the left amygdala (uncorrected p<0.05), and FA2 was positively associated with the left parietal structure (uncorrected p=0.001). CONCLUSION: Our results suggested 3 coherent RRBI dimensions involving the putamen commonly and other structures according to the RRBI dimension. The exploration of the putamen's integrative role in RSBI needs to be strengthened in further studies. En ligne : https://dx.doi.org/10.1186/s13229-023-00576-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Phenotypic Overlap Between Core Diagnostic Features and Emotional/Behavioral Problems in Preschool Children with Autism Spectrum Disorder / Stelios GEORGIADES in Journal of Autism and Developmental Disorders, 41-10 (October 2011)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 41-10 (October 2011) . - p.1321-1329 Titre : Phenotypic Overlap Between Core Diagnostic Features and Emotional/Behavioral Problems in Preschool Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Stelios GEORGIADES, Auteur ; Peter SZATMARI, Auteur ; Eric DUKU, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Susan E. BRYSON, Auteur ; Wendy ROBERTS, Auteur ; Eric FOMBONNE, Auteur ; Pat MIRENDA, Auteur ; Isabel M. SMITH, Auteur ; Tracy VAILLANCOURT, Auteur ; Joanne VOLDEN, Auteur ; Charlotte WADDELL, Auteur ; Ann THOMPSON, Auteur ; THE PATHWAYS IN ASD STUDY TEAM, Auteur Année de publication : 2011 Article en page(s) : p.1321-1329 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Comorbidity  Emotional/behavioral problems  Phenotype  Principal component analysis Index. décimale : PER Périodiques Résumé : This study examined the phenotypic overlap between core diagnostic features and emotional/behavioral problems in a sample of 335 preschool children with autism spectrum disorder (ASD). Results from principal component analysis (2 components; 49.70% variance explained) suggested substantial phenotypic overlap between core diagnostic features and emotional/behavioral problems. Component I, Emotional Behavioral Repetitive Problems, was independent of the children’s intellectual, adaptive functioning, and structural language abilities. Component II, Social Communication Deficits, was negatively related to the children’s intellectual, adaptive functioning, and structural language abilities. Both components were positively related to parental stress. This exploratory study contributes to our understanding of the ASD phenotype and provides further support for including emotional/behavioral problems as part of the clinical characterization of children with ASD. En ligne : http://dx.doi.org/10.1007/s10803-010-1158-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=143 [article] Phenotypic Overlap Between Core Diagnostic Features and Emotional/Behavioral Problems in Preschool Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Stelios GEORGIADES, Auteur ; Peter SZATMARI, Auteur ; Eric DUKU, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Susan E. BRYSON, Auteur ; Wendy ROBERTS, Auteur ; Eric FOMBONNE, Auteur ; Pat MIRENDA, Auteur ; Isabel M. SMITH, Auteur ; Tracy VAILLANCOURT, Auteur ; Joanne VOLDEN, Auteur ; Charlotte WADDELL, Auteur ; Ann THOMPSON, Auteur ; THE PATHWAYS IN ASD STUDY TEAM, Auteur . - 2011 . - p.1321-1329. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 41-10 (October 2011) . - p.1321-1329 Mots-clés : Autism spectrum disorder  Comorbidity  Emotional/behavioral problems  Phenotype  Principal component analysis Index. décimale : PER Périodiques Résumé : This study examined the phenotypic overlap between core diagnostic features and emotional/behavioral problems in a sample of 335 preschool children with autism spectrum disorder (ASD). Results from principal component analysis (2 components; 49.70% variance explained) suggested substantial phenotypic overlap between core diagnostic features and emotional/behavioral problems. Component I, Emotional Behavioral Repetitive Problems, was independent of the children’s intellectual, adaptive functioning, and structural language abilities. Component II, Social Communication Deficits, was negatively related to the children’s intellectual, adaptive functioning, and structural language abilities. Both components were positively related to parental stress. This exploratory study contributes to our understanding of the ASD phenotype and provides further support for including emotional/behavioral problems as part of the clinical characterization of children with ASD. En ligne : http://dx.doi.org/10.1007/s10803-010-1158-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=143