A multimodal approach to emotion recognition ability in autism spectrum disorders / Catherine R. G. JONES in Journal of Child Psychology and Psychiatry, 52-3 (March 2011)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 52-3 (March 2011) . - p.275-285 Titre : A multimodal approach to emotion recognition ability in autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Catherine R. G. JONES, Auteur ; Andrew PICKLES, Auteur ; Milena FALCARO, Auteur ; Anita J.S. MARSDEN, Auteur ; Francesca HAPPE, Auteur ; Sophie K. SCOTT, Auteur ; Disa A. SAUTER, Auteur ; Jenifer TREGAY, Auteur ; Rebecca PHILLIPS, Auteur ; Gillian BAIRD, Auteur ; Emily SIMONOFF, Auteur ; Tony CHARMAN, Auteur Année de publication : 2011 Article en page(s) : p.275-285 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  emotion recognition  emotion processing  social communication  structural equation modelling Index. décimale : PER Périodiques Résumé : Background:  Autism spectrum disorders (ASD) are characterised by social and communication difficulties in day-to-day life, including problems in recognising emotions. However, experimental investigations of emotion recognition ability in ASD have been equivocal, hampered by small sample sizes, narrow IQ range and over-focus on the visual modality. Methods:  We tested 99 adolescents (mean age 15;6 years, mean IQ 85) with an ASD and 57 adolescents without an ASD (mean age 15;6 years, mean IQ 88) on a facial emotion recognition task and two vocal emotion recognition tasks (one verbal; one non-verbal). Recognition of happiness, sadness, fear, anger, surprise and disgust were tested. Using structural equation modelling, we conceptualised emotion recognition ability as a multimodal construct, measured by the three tasks. We examined how the mean levels of recognition of the six emotions differed by group (ASD vs. non-ASD) and IQ (≥ 80 vs. < 80). Results:  We found no evidence of a fundamental emotion recognition deficit in the ASD group and analysis of error patterns suggested that the ASD group were vulnerable to the same pattern of confusions between emotions as the non-ASD group. However, recognition ability was significantly impaired in the ASD group for surprise. IQ had a strong and significant effect on performance for the recognition of all six emotions, with higher IQ adolescents outperforming lower IQ adolescents. Conclusions:  The findings do not suggest a fundamental difficulty with the recognition of basic emotions in adolescents with ASD. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2010.02328.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=118 [article] A multimodal approach to emotion recognition ability in autism spectrum disorders [Texte imprimé et/ou numérique] / Catherine R. G. JONES, Auteur ; Andrew PICKLES, Auteur ; Milena FALCARO, Auteur ; Anita J.S. MARSDEN, Auteur ; Francesca HAPPE, Auteur ; Sophie K. SCOTT, Auteur ; Disa A. SAUTER, Auteur ; Jenifer TREGAY, Auteur ; Rebecca PHILLIPS, Auteur ; Gillian BAIRD, Auteur ; Emily SIMONOFF, Auteur ; Tony CHARMAN, Auteur . - 2011 . - p.275-285. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 52-3 (March 2011) . - p.275-285 Mots-clés : Autism spectrum disorder  emotion recognition  emotion processing  social communication  structural equation modelling Index. décimale : PER Périodiques Résumé : Background:  Autism spectrum disorders (ASD) are characterised by social and communication difficulties in day-to-day life, including problems in recognising emotions. However, experimental investigations of emotion recognition ability in ASD have been equivocal, hampered by small sample sizes, narrow IQ range and over-focus on the visual modality. Methods:  We tested 99 adolescents (mean age 15;6 years, mean IQ 85) with an ASD and 57 adolescents without an ASD (mean age 15;6 years, mean IQ 88) on a facial emotion recognition task and two vocal emotion recognition tasks (one verbal; one non-verbal). Recognition of happiness, sadness, fear, anger, surprise and disgust were tested. Using structural equation modelling, we conceptualised emotion recognition ability as a multimodal construct, measured by the three tasks. We examined how the mean levels of recognition of the six emotions differed by group (ASD vs. non-ASD) and IQ (≥ 80 vs. < 80). Results:  We found no evidence of a fundamental emotion recognition deficit in the ASD group and analysis of error patterns suggested that the ASD group were vulnerable to the same pattern of confusions between emotions as the non-ASD group. However, recognition ability was significantly impaired in the ASD group for surprise. IQ had a strong and significant effect on performance for the recognition of all six emotions, with higher IQ adolescents outperforming lower IQ adolescents. Conclusions:  The findings do not suggest a fundamental difficulty with the recognition of basic emotions in adolescents with ASD. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2010.02328.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=118

The Neuropsychology of Male Adults With High-Functioning Autism or Asperger Syndrome / C. Ellie WILSON in Autism Research, 7-5 (October 2014)  

Public ISBD [article]  inAutism Research > 7-5 (October 2014) . - p.568-581 Titre : The Neuropsychology of Male Adults With High-Functioning Autism or Asperger Syndrome Type de document : Texte imprimé et/ou numérique Auteurs : C. Ellie WILSON, Auteur ; Francesca HAPPE, Auteur ; Sally J. WHEELWRIGHT, Auteur ; Christine ECKER, Auteur ; Michael V. LOMBARDO, Auteur ; Patrick JOHNSTON, Auteur ; Eileen DALY, Auteur ; Clodagh M. MURPHY, Auteur ; Debbie SPAIN, Auteur ; Meng-Chuan LAI, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Disa A. SAUTER, Auteur ; CONSORTIUM MRC AIMS,, Auteur ; Simon BARON-COHEN, Auteur ; Declan G. M. MURPHY, Auteur Article en page(s) : p.568-581 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  cognitive profiles  autistic symptomatology  comorbid psychopathology  support vector machine classification  autistic subtypes Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is diagnosed on the basis of behavioral symptoms, but cognitive abilities may also be useful in characterizing individuals with ASD. One hundred seventy-eight high-functioning male adults, half with ASD and half without, completed tasks assessing IQ, a broad range of cognitive skills, and autistic and comorbid symptomatology. The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups. Second, to establish whether cognitive skill level was correlated with degree of autistic symptom severity, and third, whether cognitive skill level was correlated with degree of comorbid psychopathology. Fourth, cognitive characteristics of individuals with Asperger Syndrome (AS) and high-functioning autism (HFA) were compared. After controlling for IQ, ASD and control groups scored significantly differently on tasks of social cognition, motor performance, and executive function (P's??0.05). To investigate cognitive profiles, 12 variables were entered into a support vector machine (SVM), which achieved good classification accuracy (81%) at a level significantly better than chance (P??0.0001). After correcting for multiple correlations, there were no significant associations between cognitive performance and severity of either autistic or comorbid symptomatology. There were no significant differences between AS and HFA groups on the cognitive tasks. Cognitive classification models could be a useful aid to the diagnostic process when used in conjunction with other data sources—including clinical history. Autism Res 2014, 7: 568–581. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1394 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241 [article] The Neuropsychology of Male Adults With High-Functioning Autism or Asperger Syndrome [Texte imprimé et/ou numérique] / C. Ellie WILSON, Auteur ; Francesca HAPPE, Auteur ; Sally J. WHEELWRIGHT, Auteur ; Christine ECKER, Auteur ; Michael V. LOMBARDO, Auteur ; Patrick JOHNSTON, Auteur ; Eileen DALY, Auteur ; Clodagh M. MURPHY, Auteur ; Debbie SPAIN, Auteur ; Meng-Chuan LAI, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Disa A. SAUTER, Auteur ; CONSORTIUM MRC AIMS,, Auteur ; Simon BARON-COHEN, Auteur ; Declan G. M. MURPHY, Auteur . - p.568-581. Langues : Anglais (eng) in Autism Research > 7-5 (October 2014) . - p.568-581 Mots-clés : autism spectrum disorder  cognitive profiles  autistic symptomatology  comorbid psychopathology  support vector machine classification  autistic subtypes Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is diagnosed on the basis of behavioral symptoms, but cognitive abilities may also be useful in characterizing individuals with ASD. One hundred seventy-eight high-functioning male adults, half with ASD and half without, completed tasks assessing IQ, a broad range of cognitive skills, and autistic and comorbid symptomatology. The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups. Second, to establish whether cognitive skill level was correlated with degree of autistic symptom severity, and third, whether cognitive skill level was correlated with degree of comorbid psychopathology. Fourth, cognitive characteristics of individuals with Asperger Syndrome (AS) and high-functioning autism (HFA) were compared. After controlling for IQ, ASD and control groups scored significantly differently on tasks of social cognition, motor performance, and executive function (P's??0.05). To investigate cognitive profiles, 12 variables were entered into a support vector machine (SVM), which achieved good classification accuracy (81%) at a level significantly better than chance (P??0.0001). After correcting for multiple correlations, there were no significant associations between cognitive performance and severity of either autistic or comorbid symptomatology. There were no significant differences between AS and HFA groups on the cognitive tasks. Cognitive classification models could be a useful aid to the diagnostic process when used in conjunction with other data sources—including clinical history. Autism Res 2014, 7: 568–581. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1394 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241

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