Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders / Sandra STRUNZ in Journal of Autism and Developmental Disorders, 45-12 (December 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-12 (December 2015) . - p.4026-4038 Titre : Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Sandra STRUNZ, Auteur ; Linda WESTPHAL, Auteur ; Kathrin RITTER, Auteur ; Isabella HEUSER, Auteur ; Isabel DZIOBEK, Auteur ; Stefan ROEPKE, Auteur Année de publication : 2015 Article en page(s) : p.4026-4038 Langues : Anglais (eng) Mots-clés : Narcissisme  Autism spectrum disorder  Asperger syndrome  Borderline personality disorder  Personality traits  Narcissistic personality disorder Index. décimale : PER Périodiques Résumé : Differentiating autism spectrum disorders (ASDs) without accompanying intellectual impairment from personality disorders is often challenging. Identifying personality traits and personality pathology specific to ASD might facilitate diagnostic procedure. We recruited a sample of 59 adults with ASD without accompanying intellectual impairment, 62 individuals with narcissistic personality disorder, 80 individuals with borderline personality disorder, and 106 nonclinical controls. Personality traits, measured with the neo-personality inventory-revised (NEO-PI-R), and personality pathology, measured with the dimensional assessment of personality pathology (DAPP-BQ), were assessed. Personality traits and personality pathology specific to ASD could be identified. ASD individuals scored significantly lower on the NEO-PI-R scales extraversion and openness to experience and significantly higher on the DAPP-BQ scales inhibitedness and compulsivity relative to all other groups. Diagnostic implications are discussed. En ligne : http://dx.doi.org/10.1007/s10803-014-2183-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=274 [article] Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders [Texte imprimé et/ou numérique] / Sandra STRUNZ, Auteur ; Linda WESTPHAL, Auteur ; Kathrin RITTER, Auteur ; Isabella HEUSER, Auteur ; Isabel DZIOBEK, Auteur ; Stefan ROEPKE, Auteur . - 2015 . - p.4026-4038. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-12 (December 2015) . - p.4026-4038 Mots-clés : Narcissisme  Autism spectrum disorder  Asperger syndrome  Borderline personality disorder  Personality traits  Narcissistic personality disorder Index. décimale : PER Périodiques Résumé : Differentiating autism spectrum disorders (ASDs) without accompanying intellectual impairment from personality disorders is often challenging. Identifying personality traits and personality pathology specific to ASD might facilitate diagnostic procedure. We recruited a sample of 59 adults with ASD without accompanying intellectual impairment, 62 individuals with narcissistic personality disorder, 80 individuals with borderline personality disorder, and 106 nonclinical controls. Personality traits, measured with the neo-personality inventory-revised (NEO-PI-R), and personality pathology, measured with the dimensional assessment of personality pathology (DAPP-BQ), were assessed. Personality traits and personality pathology specific to ASD could be identified. ASD individuals scored significantly lower on the NEO-PI-R scales extraversion and openness to experience and significantly higher on the DAPP-BQ scales inhibitedness and compulsivity relative to all other groups. Diagnostic implications are discussed. En ligne : http://dx.doi.org/10.1007/s10803-014-2183-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=274

Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder / Sanna STROTH in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 11 p. Titre : Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Sanna STROTH, Auteur ; Johannes TAUSCHER, Auteur ; Nicole WOLFF, Auteur ; Charlotte KÜPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Dominik HEIDER, Auteur ; Inge KAMP-BECKER, Auteur Article en page(s) : 11 p. Langues : Anglais (eng) Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Female  Humans  Intellectual Disability/diagnosis  Male  Adi-r  Ados  Asd  Diagnostics  Female autism  Phenotype  Sex Index. décimale : PER Périodiques Résumé : BACKGROUND: Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males. METHODS: Random forests (RF) were used to discover patterns of symptoms in diagnostic data from the ADOS (modules 3 and 4) in 1057 participants with ASD (18.1% female) and 1230 participants with non-ASD (17.9% % female). Predictive performances of reduced feature models were explored and compared between females and males without intellectual disabilities. RESULTS: Reduced feature models relied on considerably fewer features from the ADOS in females compared to males, while still yielding similar classification performance (e.g., sensitivity, specificity). LIMITATIONS: As in previous studies, the current sample of females with ASD is smaller than the male sample and thus, females may still be underrepresented, limiting the statistical power to detect small to moderate effects. CONCLUSION: Our results do not suggest the need for new or altered diagnostic algorithms for females with ASD. Although we identified some phenotypic differences between females and males, the existing diagnostic tools seem to sufficiently capture the core autistic features in both groups. En ligne : http://dx.doi.org/10.1186/s13229-022-00491-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder [Texte imprimé et/ou numérique] / Sanna STROTH, Auteur ; Johannes TAUSCHER, Auteur ; Nicole WOLFF, Auteur ; Charlotte KÜPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Dominik HEIDER, Auteur ; Inge KAMP-BECKER, Auteur . - 11 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 11 p. Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Female  Humans  Intellectual Disability/diagnosis  Male  Adi-r  Ados  Asd  Diagnostics  Female autism  Phenotype  Sex Index. décimale : PER Périodiques Résumé : BACKGROUND: Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males. METHODS: Random forests (RF) were used to discover patterns of symptoms in diagnostic data from the ADOS (modules 3 and 4) in 1057 participants with ASD (18.1% female) and 1230 participants with non-ASD (17.9% % female). Predictive performances of reduced feature models were explored and compared between females and males without intellectual disabilities. RESULTS: Reduced feature models relied on considerably fewer features from the ADOS in females compared to males, while still yielding similar classification performance (e.g., sensitivity, specificity). LIMITATIONS: As in previous studies, the current sample of females with ASD is smaller than the male sample and thus, females may still be underrepresented, limiting the statistical power to detect small to moderate effects. CONCLUSION: Our results do not suggest the need for new or altered diagnostic algorithms for females with ASD. Although we identified some phenotypic differences between females and males, the existing diagnostic tools seem to sufficiently capture the core autistic features in both groups. En ligne : http://dx.doi.org/10.1186/s13229-022-00491-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach / Felicitas EHLEN in Journal of Autism and Developmental Disorders, 50-11 (November 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-11 (November 2020) . - p.3967-3987 Titre : Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach Type de document : Texte imprimé et/ou numérique Auteurs : Felicitas EHLEN, Auteur ; Stefan ROEPKE, Auteur ; Fabian KLOSTERMANN, Auteur ; Irina BASKOW, Auteur ; Pia GEISE, Auteur ; Cyril BELICA, Auteur ; Hannes Ole TIEDT, Auteur ; Behnoush BEHNIA, Auteur Article en page(s) : p.3967-3987 Langues : Anglais (eng) Mots-clés : Asd  Clusters  Mental lexicon  Verbal fluency  Wcc Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored differences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fluency tasks ('animals', 'human feature', 'verbs', 'r-words') via curve fitting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n?=?39), participants with ASD (n?=?32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without affecting strength of associations or content. En ligne : http://dx.doi.org/10.1007/s10803-020-04457-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432 [article] Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach [Texte imprimé et/ou numérique] / Felicitas EHLEN, Auteur ; Stefan ROEPKE, Auteur ; Fabian KLOSTERMANN, Auteur ; Irina BASKOW, Auteur ; Pia GEISE, Auteur ; Cyril BELICA, Auteur ; Hannes Ole TIEDT, Auteur ; Behnoush BEHNIA, Auteur . - p.3967-3987. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-11 (November 2020) . - p.3967-3987 Mots-clés : Asd  Clusters  Mental lexicon  Verbal fluency  Wcc Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored differences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fluency tasks ('animals', 'human feature', 'verbs', 'r-words') via curve fitting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n?=?39), participants with ASD (n?=?32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without affecting strength of associations or content. En ligne : http://dx.doi.org/10.1007/s10803-020-04457-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432

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