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Cluster Analysis of Autistic Patients Based on Principal Pathogenetic Components / Roberto SACCO in Autism Research, 5-2 (April 2012)
[article]
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
in Autism Research > 5-2 (April 2012) . - p.137-147[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 Are There Subgroups within the Autistic Spectrum? A Cluster Analysis of a Group of Children with Autistic Spectrum Disorders / Margot PRIOR in Journal of Child Psychology and Psychiatry, 39-6 (September 1998)
[article]
Titre : Are There Subgroups within the Autistic Spectrum? A Cluster Analysis of a Group of Children with Autistic Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Margot PRIOR, Auteur ; Susan R. LEEKAM, Auteur ; Ben ONG, Auteur ; Richard EISENMAJER, Auteur ; Lorna WING, Auteur ; Judith GOULD, Auteur ; David DOWE, Auteur Année de publication : 1998 Article en page(s) : p.893-902 Langues : Anglais (eng) Mots-clés : Asperger syndrome autism Pervasive Developmental Disorder symptomatology cluster analysis Index. décimale : PER Périodiques Résumé : Comprehensive data on the developmental history and current behaviours of a large sample of high-functioning individuals with diagnoses of autism, Asperger's syndrome, or other related disorder were collected via parent interviews. This provided the basis for a taxonomic analysis to search for subgroups. Most participants also completed theory of mind tasks. Three clusters or subgroups were obtained; these differed on theory of mind performance and on verbal abilities. Although subgroups were identified which bore some relationship to clinical differentiation of autistic, Asperger syndrome, and Pervasive Developmental Disorder Not Otherwise Specified (PDD-NOS) cases, the nature of the differences between them appeared strongly related to ability variables. Examination of the kinds of behaviours that differentiated the groups suggested that a spectrum of autistic disorders on which children differ primarily in term of degrees of social and cognitive impairments could explain the findings. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=123
in Journal of Child Psychology and Psychiatry > 39-6 (September 1998) . - p.893-902[article] Are There Subgroups within the Autistic Spectrum? A Cluster Analysis of a Group of Children with Autistic Spectrum Disorders [Texte imprimé et/ou numérique] / Margot PRIOR, Auteur ; Susan R. LEEKAM, Auteur ; Ben ONG, Auteur ; Richard EISENMAJER, Auteur ; Lorna WING, Auteur ; Judith GOULD, Auteur ; David DOWE, Auteur . - 1998 . - p.893-902.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 39-6 (September 1998) . - p.893-902
Mots-clés : Asperger syndrome autism Pervasive Developmental Disorder symptomatology cluster analysis Index. décimale : PER Périodiques Résumé : Comprehensive data on the developmental history and current behaviours of a large sample of high-functioning individuals with diagnoses of autism, Asperger's syndrome, or other related disorder were collected via parent interviews. This provided the basis for a taxonomic analysis to search for subgroups. Most participants also completed theory of mind tasks. Three clusters or subgroups were obtained; these differed on theory of mind performance and on verbal abilities. Although subgroups were identified which bore some relationship to clinical differentiation of autistic, Asperger syndrome, and Pervasive Developmental Disorder Not Otherwise Specified (PDD-NOS) cases, the nature of the differences between them appeared strongly related to ability variables. Examination of the kinds of behaviours that differentiated the groups suggested that a spectrum of autistic disorders on which children differ primarily in term of degrees of social and cognitive impairments could explain the findings. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=123 Disentangling multiproblem behavior in male young adults: A cluster analysis / Josjan ZIJLMANS in Development and Psychopathology, 33-1 (February 2021)
[article]
Titre : Disentangling multiproblem behavior in male young adults: A cluster analysis Type de document : Texte imprimé et/ou numérique Auteurs : Josjan ZIJLMANS, Auteur ; Laura VAN DUIN, Auteur ; Maaike JORINK, Auteur ; Reshmi MARHE, Auteur ; Marie-Jolette A LUIJKS, Auteur ; Matty CRONE, Auteur ; Arne POPMA, Auteur ; Floor BEVAART, Auteur Article en page(s) : p.149-159 Langues : Anglais (eng) Mots-clés : cluster analysis delinquency emerging adulthood life domains multiproblem Index. décimale : PER Périodiques Résumé : Multiproblem young adults present with major problems across key life domains, but empirical studies investigating the nature of multiproblem behavior in accordance to ecobiodevelopmental theory are scarce. To address this gap, we performed a cluster analysis on indicators spanning the key life domains addiction, mental health, social network, and justice. In a large sample (N = 680) of multiproblem young adults, we identified five subgroups labeled "severe with alcohol and cannabis problems" (4.3%), "severe with cannabis problems" (25.6%), "severe without alcohol or drug problems" (33.2%), "moderate with mental health problems" (22.9%), and "moderate without mental health problems" (14.0%). There were large differences between the severe and moderate groups in terms of childhood risk factors such as emotional and physical abuse, concerning baseline functioning such as comorbid disorders and aggressive behavior, and in the outcome measure of violent offending. Our findings indicate that multiproblem young adult behavior clusters within profiles that differ according to the severity and nature of problems. Investing in screening for clustered problems may be beneficial for early problem differentiation and selection of appropriate intervention before and during treatment programs. En ligne : http://dx.doi.org/10.1017/s0954579419001652 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442
in Development and Psychopathology > 33-1 (February 2021) . - p.149-159[article] Disentangling multiproblem behavior in male young adults: A cluster analysis [Texte imprimé et/ou numérique] / Josjan ZIJLMANS, Auteur ; Laura VAN DUIN, Auteur ; Maaike JORINK, Auteur ; Reshmi MARHE, Auteur ; Marie-Jolette A LUIJKS, Auteur ; Matty CRONE, Auteur ; Arne POPMA, Auteur ; Floor BEVAART, Auteur . - p.149-159.
Langues : Anglais (eng)
in Development and Psychopathology > 33-1 (February 2021) . - p.149-159
Mots-clés : cluster analysis delinquency emerging adulthood life domains multiproblem Index. décimale : PER Périodiques Résumé : Multiproblem young adults present with major problems across key life domains, but empirical studies investigating the nature of multiproblem behavior in accordance to ecobiodevelopmental theory are scarce. To address this gap, we performed a cluster analysis on indicators spanning the key life domains addiction, mental health, social network, and justice. In a large sample (N = 680) of multiproblem young adults, we identified five subgroups labeled "severe with alcohol and cannabis problems" (4.3%), "severe with cannabis problems" (25.6%), "severe without alcohol or drug problems" (33.2%), "moderate with mental health problems" (22.9%), and "moderate without mental health problems" (14.0%). There were large differences between the severe and moderate groups in terms of childhood risk factors such as emotional and physical abuse, concerning baseline functioning such as comorbid disorders and aggressive behavior, and in the outcome measure of violent offending. Our findings indicate that multiproblem young adult behavior clusters within profiles that differ according to the severity and nature of problems. Investing in screening for clustered problems may be beneficial for early problem differentiation and selection of appropriate intervention before and during treatment programs. En ligne : http://dx.doi.org/10.1017/s0954579419001652 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442 Identifying Language and Cognitive Profiles in Children With ASD via a Cluster Analysis Exploration: Implications for the New ICD-11 / Silvia SILLERESI in Autism Research, 13-7 (July 2020)
[article]
Titre : Identifying Language and Cognitive Profiles in Children With ASD via a Cluster Analysis Exploration: Implications for the New ICD-11 Type de document : Texte imprimé et/ou numérique Auteurs : Silvia SILLERESI, Auteur ; Philippe PREVOST, Auteur ; Racha ZEBIB, Auteur ; Frédérique BONNET-BRILHAULT, Auteur ; Donatello CONTE, Auteur ; Laurice TULLER, Auteur Article en page(s) : p.1155-1167 Langues : Anglais (eng) Mots-clés : Asd Icd-11 cluster analysis nonverbal cognitive abilities profiles structural language Index. décimale : PER Périodiques Résumé : The new version of the International Classification of Diseases (ICD-11) mentions the existence of four different profiles in the verbal part of the Autism Spectrum Disorder (ASD), describing them as combinations of either spared or impaired functional language and intellectual abilities. The aim of the present study was to put ASD heterogeneity to the forefront by exploring whether clear profiles related to language and intellectual abilities emerge when investigation is extended to the entire spectrum, focusing on verbal children. Our study proposed a systematic investigation of both language (specifically, structural language abilities) and intellectual abilities (specifically, nonverbal cognitive abilities) in 51 6- to 12-year-old verbal children with ASD based on explicitly motivated measures. For structural language abilities, sentence repetition and nonword repetition tasks were selected; for nonverbal cognitive abilities, we chose Raven's Progressive Matrices, as well as Matrix Reasoning and Block Design from the Wechsler Scales. An integrative approach based on cluster analyses revealed five distinct profiles. Among these five profiles, all four logically possible combinations of structural language and nonverbal abilities mentioned in the ICD-11 were detected. Three profiles emerged among children with normal language abilities and two emerged among language-impaired children. Crucially, the existence of discrepant profiles of abilities suggests that children with ASD can display impaired language in presence of spared nonverbal intelligence or spared language in the presence of impaired nonverbal intelligence, reinforcing the hypothesis of the existence of a separate language module in the brain. Autism Res 2020, 13: 1155-1167. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The present work put Autism Spectrum Disorder heterogeneity to the forefront by exploring whether clear profiles related to language and cognitive abilities emerge when investigation is extended to the entire spectrum (focusing on verbal children). The use of explicitly motivated measures of both language and cognitive abilities and of an unsupervised machine learning approach, the cluster analysis, (a) confirmed the existence of all four logically possible profiles evoked in the new ICD-11, (b) evoked the existence of (at least) a fifth profile of language/cognitive abilities, and (c) reinforced the hypothesis of a language module in the brain. En ligne : http://dx.doi.org/10.1002/aur.2268 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429
in Autism Research > 13-7 (July 2020) . - p.1155-1167[article] Identifying Language and Cognitive Profiles in Children With ASD via a Cluster Analysis Exploration: Implications for the New ICD-11 [Texte imprimé et/ou numérique] / Silvia SILLERESI, Auteur ; Philippe PREVOST, Auteur ; Racha ZEBIB, Auteur ; Frédérique BONNET-BRILHAULT, Auteur ; Donatello CONTE, Auteur ; Laurice TULLER, Auteur . - p.1155-1167.
Langues : Anglais (eng)
in Autism Research > 13-7 (July 2020) . - p.1155-1167
Mots-clés : Asd Icd-11 cluster analysis nonverbal cognitive abilities profiles structural language Index. décimale : PER Périodiques Résumé : The new version of the International Classification of Diseases (ICD-11) mentions the existence of four different profiles in the verbal part of the Autism Spectrum Disorder (ASD), describing them as combinations of either spared or impaired functional language and intellectual abilities. The aim of the present study was to put ASD heterogeneity to the forefront by exploring whether clear profiles related to language and intellectual abilities emerge when investigation is extended to the entire spectrum, focusing on verbal children. Our study proposed a systematic investigation of both language (specifically, structural language abilities) and intellectual abilities (specifically, nonverbal cognitive abilities) in 51 6- to 12-year-old verbal children with ASD based on explicitly motivated measures. For structural language abilities, sentence repetition and nonword repetition tasks were selected; for nonverbal cognitive abilities, we chose Raven's Progressive Matrices, as well as Matrix Reasoning and Block Design from the Wechsler Scales. An integrative approach based on cluster analyses revealed five distinct profiles. Among these five profiles, all four logically possible combinations of structural language and nonverbal abilities mentioned in the ICD-11 were detected. Three profiles emerged among children with normal language abilities and two emerged among language-impaired children. Crucially, the existence of discrepant profiles of abilities suggests that children with ASD can display impaired language in presence of spared nonverbal intelligence or spared language in the presence of impaired nonverbal intelligence, reinforcing the hypothesis of the existence of a separate language module in the brain. Autism Res 2020, 13: 1155-1167. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The present work put Autism Spectrum Disorder heterogeneity to the forefront by exploring whether clear profiles related to language and cognitive abilities emerge when investigation is extended to the entire spectrum (focusing on verbal children). The use of explicitly motivated measures of both language and cognitive abilities and of an unsupervised machine learning approach, the cluster analysis, (a) confirmed the existence of all four logically possible profiles evoked in the new ICD-11, (b) evoked the existence of (at least) a fifth profile of language/cognitive abilities, and (c) reinforced the hypothesis of a language module in the brain. En ligne : http://dx.doi.org/10.1002/aur.2268 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429 Whether the Autism Spectrum Quotient consists of two different subgroups? Cluster analysis of the Autism Spectrum Quotient in general population / Noriko KITAZOE in Autism, 21-3 (April 2017)
[article]
Titre : Whether the Autism Spectrum Quotient consists of two different subgroups? Cluster analysis of the Autism Spectrum Quotient in general population Type de document : Texte imprimé et/ou numérique Auteurs : Noriko KITAZOE, Auteur ; Naofumi FUJITA, Auteur ; Yuji IZUMOTO, Auteur ; Shin-ichi TERADA, Auteur ; Yuhei HATAKENAKA, Auteur Article en page(s) : p.323-332 Langues : Anglais (eng) Mots-clés : Adolescent Adult Autism Spectrum Disorder/classification/ epidemiology/psychology Cluster Analysis Female Humans Male Middle Aged Psychological Tests Students/psychology/statistics & numerical data Surveys and Questionnaires Universities Young Adult Autism Spectrum Quotient attention to detail autism spectrum disorder k-means Index. décimale : PER Périodiques Résumé : The purpose of this study was to investigate whether the individuals in the general population with high scores on the Autism Spectrum Quotient constituted a single homogeneous group or not. A cohort of university students (n=4901) was investigated by cluster analysis based on the original five subscales of the Autism Spectrum Quotient. Based on the results of the analysis, the students could be divided into six clusters: the first with low scores on all the five subscales, the second with high scores on only the 'attention to detail' subscale, the third and fourth with intermediate scores on all the subscales, the fifth with high scores on four of the five subscales but low scores on the 'attention to detail' subscale and the sixth with high scores on all the five subscales. The students with high total Autism Spectrum Quotient scores (n=166) were divided into two groups: one with high scores on four subscales but low scores on the 'attention to detail' subscale and the other with high scores on all the five subscales. The results of this study suggested that individuals from the general population with high Autism Spectrum Quotient scores may consist of two qualitatively different groups. En ligne : http://dx.doi.org/10.1177/1362361316638787 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475
in Autism > 21-3 (April 2017) . - p.323-332[article] Whether the Autism Spectrum Quotient consists of two different subgroups? Cluster analysis of the Autism Spectrum Quotient in general population [Texte imprimé et/ou numérique] / Noriko KITAZOE, Auteur ; Naofumi FUJITA, Auteur ; Yuji IZUMOTO, Auteur ; Shin-ichi TERADA, Auteur ; Yuhei HATAKENAKA, Auteur . - p.323-332.
Langues : Anglais (eng)
in Autism > 21-3 (April 2017) . - p.323-332
Mots-clés : Adolescent Adult Autism Spectrum Disorder/classification/ epidemiology/psychology Cluster Analysis Female Humans Male Middle Aged Psychological Tests Students/psychology/statistics & numerical data Surveys and Questionnaires Universities Young Adult Autism Spectrum Quotient attention to detail autism spectrum disorder k-means Index. décimale : PER Périodiques Résumé : The purpose of this study was to investigate whether the individuals in the general population with high scores on the Autism Spectrum Quotient constituted a single homogeneous group or not. A cohort of university students (n=4901) was investigated by cluster analysis based on the original five subscales of the Autism Spectrum Quotient. Based on the results of the analysis, the students could be divided into six clusters: the first with low scores on all the five subscales, the second with high scores on only the 'attention to detail' subscale, the third and fourth with intermediate scores on all the subscales, the fifth with high scores on four of the five subscales but low scores on the 'attention to detail' subscale and the sixth with high scores on all the five subscales. The students with high total Autism Spectrum Quotient scores (n=166) were divided into two groups: one with high scores on four subscales but low scores on the 'attention to detail' subscale and the other with high scores on all the five subscales. The results of this study suggested that individuals from the general population with high Autism Spectrum Quotient scores may consist of two qualitatively different groups. En ligne : http://dx.doi.org/10.1177/1362361316638787 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475 Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups / Tayo OBAFEMI-AJAYI in Journal of Autism and Developmental Disorders, 45-5 (May 2015)
PermalinkAltered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation / T. YAMADA in Molecular Autism, 7 (2016)
PermalinkExamining Phenotypical Heterogeneity in Language Abilities in Chinese-Speaking Children with Autism: A Naturalistic Sampling Approach / Xue-Ke SONG in Journal of Autism and Developmental Disorders, 52-5 (May 2022)
PermalinkExploring sensory phenotypes in autism spectrum disorder / N. E. SCHEERER in Molecular Autism, 12 (2021)
PermalinkPatterns of sensory modulation by age and sex in young people on the autism spectrum / Alison E. LANE in Autism Research, 15-10 (October 2022)
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