Using the Circumplex Model of Affect to Study Valence and Arousal Ratings of Emotional Faces by Children and Adults with Autism Spectrum Disorders / Angela TSENG in Journal of Autism and Developmental Disorders, 44-6 (June 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-6 (June 2014) . - p.1332-1346 Titre : Using the Circumplex Model of Affect to Study Valence and Arousal Ratings of Emotional Faces by Children and Adults with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Angela TSENG, Auteur ; Ravi BANSAL, Auteur ; Jun LIU, Auteur ; Andrew J. GERBER, Auteur ; Suzanne GOH, Auteur ; Jonathan POSNER, Auteur ; Tiziano COLIBAZZI, Auteur ; Molly ALGERMISSEN, Auteur ; I. Chin CHIANG, Auteur ; James A. RUSSELL, Auteur ; Bradley S. PETERSON, Auteur Article en page(s) : p.1332-1346 Langues : Anglais (eng) Mots-clés : Circumplex model of affect  Valence  Arousal  Autism spectrum disorders  Facial emotion Index. décimale : PER Périodiques Résumé : The Affective Circumplex Model holds that emotions can be described as linear combinations of two underlying, independent neurophysiological systems (arousal, valence). Given research suggesting individuals with autism spectrum disorders (ASD) have difficulty processing emotions, we used the circumplex model to compare how individuals with ASD and typically-developing (TD) individuals respond to facial emotions. Participants (51 ASD, 80 TD) rated facial expressions along arousal and valence dimensions; we fitted closed, smooth, 2-dimensional curves to their ratings to examine overall circumplex contours. We modeled individual and group influences on parameters describing curve contours to identify differences in dimensional effects across groups. Significant main effects of diagnosis indicated the ASD-group’s ratings were constricted for the entire circumplex, suggesting range constriction across all emotions. Findings did not change when covarying for overall intelligence. En ligne : http://dx.doi.org/10.1007/s10803-013-1993-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=233 [article] Using the Circumplex Model of Affect to Study Valence and Arousal Ratings of Emotional Faces by Children and Adults with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Angela TSENG, Auteur ; Ravi BANSAL, Auteur ; Jun LIU, Auteur ; Andrew J. GERBER, Auteur ; Suzanne GOH, Auteur ; Jonathan POSNER, Auteur ; Tiziano COLIBAZZI, Auteur ; Molly ALGERMISSEN, Auteur ; I. Chin CHIANG, Auteur ; James A. RUSSELL, Auteur ; Bradley S. PETERSON, Auteur . - p.1332-1346. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-6 (June 2014) . - p.1332-1346 Mots-clés : Circumplex model of affect  Valence  Arousal  Autism spectrum disorders  Facial emotion Index. décimale : PER Périodiques Résumé : The Affective Circumplex Model holds that emotions can be described as linear combinations of two underlying, independent neurophysiological systems (arousal, valence). Given research suggesting individuals with autism spectrum disorders (ASD) have difficulty processing emotions, we used the circumplex model to compare how individuals with ASD and typically-developing (TD) individuals respond to facial emotions. Participants (51 ASD, 80 TD) rated facial expressions along arousal and valence dimensions; we fitted closed, smooth, 2-dimensional curves to their ratings to examine overall circumplex contours. We modeled individual and group influences on parameters describing curve contours to identify differences in dimensional effects across groups. Significant main effects of diagnosis indicated the ASD-group’s ratings were constricted for the entire circumplex, suggesting range constriction across all emotions. Findings did not change when covarying for overall intelligence. En ligne : http://dx.doi.org/10.1007/s10803-013-1993-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=233

Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder / Bradley S. PETERSON in Journal of Child Psychology and Psychiatry, 63-8 (August 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-8 (August 2022) . - p.855-870 Titre : Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Bradley S. PETERSON, Auteur ; Jiaqi LIU, Auteur ; Louis DANTEC, Auteur ; Courtney NEWMAN, Auteur ; Siddhant SAWARDEKAR, Auteur ; Suzanne GOH, Auteur ; Ravi BANSAL, Auteur Article en page(s) : p.855-870 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/metabolism  Brain/metabolism  Diffusion Tensor Imaging  Humans  Magnetic Resonance Imaging  White Matter/diagnostic imaging/pathology  Autism  white matter  interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Identifying the brain bases for phenotypic heterogeneity in Autism Spectrum Disorder (ASD) will advance understanding of its pathogenesis and improve its clinical management. METHODS: We compared Diffusion Tensor Imaging (DTI) indices and connectome measures between 77 ASD and 88 Typically Developing (TD) control participants. We also assessed voxel-wise associations of DTI indices with measures of regional cerebral blood flow (rCBF) and N-acetylaspartate (NAA) to understand how tissue microstructure associates with cellular metabolism and neuronal density, respectively. RESULTS: Autism Spectrum Disorder participants had significantly lower fractional anisotropy (FA) and higher diffusivity values in deep white matter tracts, likely representing ether reduced myelination by oligodendrocytes or a reduced density of myelinated axons. Greater abnormalities in these measures and regions were associated with higher ASD symptom scores. Participant age, sex and IQ significantly moderated these group differences. Path analyses showed that reduced NAA levels accounted significantly for higher diffusivity and higher rCBF values in ASD compared with TD participants. CONCLUSIONS: Reduced neuronal density (reduced NAA) likely underlies abnormalities in DTI indices of white matter microstructure in ASD, which in turn are major determinants of elevated blood flow. Together, these findings suggest the presence of reduced axonal density and axonal pathology in ASD white matter. Greater pathology in turn accounts for more severe symptoms, lower intellectual ability, and reduced global efficiency for measures of white matter connectivity in ASD. En ligne : http://dx.doi.org/10.1111/jcpp.13531 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder [Texte imprimé et/ou numérique] / Bradley S. PETERSON, Auteur ; Jiaqi LIU, Auteur ; Louis DANTEC, Auteur ; Courtney NEWMAN, Auteur ; Siddhant SAWARDEKAR, Auteur ; Suzanne GOH, Auteur ; Ravi BANSAL, Auteur . - p.855-870. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-8 (August 2022) . - p.855-870 Mots-clés : Autism Spectrum Disorder/metabolism  Brain/metabolism  Diffusion Tensor Imaging  Humans  Magnetic Resonance Imaging  White Matter/diagnostic imaging/pathology  Autism  white matter  interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Identifying the brain bases for phenotypic heterogeneity in Autism Spectrum Disorder (ASD) will advance understanding of its pathogenesis and improve its clinical management. METHODS: We compared Diffusion Tensor Imaging (DTI) indices and connectome measures between 77 ASD and 88 Typically Developing (TD) control participants. We also assessed voxel-wise associations of DTI indices with measures of regional cerebral blood flow (rCBF) and N-acetylaspartate (NAA) to understand how tissue microstructure associates with cellular metabolism and neuronal density, respectively. RESULTS: Autism Spectrum Disorder participants had significantly lower fractional anisotropy (FA) and higher diffusivity values in deep white matter tracts, likely representing ether reduced myelination by oligodendrocytes or a reduced density of myelinated axons. Greater abnormalities in these measures and regions were associated with higher ASD symptom scores. Participant age, sex and IQ significantly moderated these group differences. Path analyses showed that reduced NAA levels accounted significantly for higher diffusivity and higher rCBF values in ASD compared with TD participants. CONCLUSIONS: Reduced neuronal density (reduced NAA) likely underlies abnormalities in DTI indices of white matter microstructure in ASD, which in turn are major determinants of elevated blood flow. Together, these findings suggest the presence of reduced axonal density and axonal pathology in ASD white matter. Greater pathology in turn accounts for more severe symptoms, lower intellectual ability, and reduced global efficiency for measures of white matter connectivity in ASD. En ligne : http://dx.doi.org/10.1111/jcpp.13531 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

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