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Auteur Simon BARON-COHEN |
Documents disponibles écrits par cet auteur (171)
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Sensory over-responsivity in adults with autism spectrum conditions / Teresa TAVASSOLI in Autism, 18-4 (May 2014)
[article]
Titre : Sensory over-responsivity in adults with autism spectrum conditions Type de document : Texte imprimé et/ou numérique Auteurs : Teresa TAVASSOLI, Auteur ; Lucy J. MILLER, Auteur ; Sarah A. SCHOEN, Auteur ; Darci M. NIELSEN, Auteur ; Simon BARON-COHEN, Auteur Article en page(s) : p.428-432 Langues : Anglais (eng) Mots-clés : autism spectrum conditions autistic traits Sensory Over-Responsivity Scale Index. décimale : PER Périodiques Résumé : Anecdotal reports and empirical evidence suggest that sensory processing issues are a key feature of autism spectrum conditions. This study set out to investigate whether adults with autism spectrum conditions report more sensory over-responsivity than adults without autism spectrum conditions. Another goal of the study was to identify whether autistic traits in adults with and without autism spectrum conditions were associated with sensory over-responsivity. Adults with (n = 221) and without (n = 181) autism spectrum conditions participated in an online survey. The Autism Spectrum Quotient, the Raven Matrices and the Sensory Processing Scale were used to characterize the sample. Adults with autism spectrum conditions reported more sensory over-responsivity than control participants across various sensory domains (visual, auditory, tactile, olfactory, gustatory and proprioceptive). Sensory over-responsivity correlated positively with autistic traits (Autism Spectrum Quotient) at a significant level across groups and within groups. Adults with autism spectrum conditions experience sensory over-responsivity to daily sensory stimuli to a high degree. A positive relationship exists between sensory over-responsivity and autistic traits. Understanding sensory over-responsivity and ways of measuring it in adults with autism spectrum conditions has implications for research and clinical settings. En ligne : http://dx.doi.org/10.1177/1362361313477246 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=232
in Autism > 18-4 (May 2014) . - p.428-432[article] Sensory over-responsivity in adults with autism spectrum conditions [Texte imprimé et/ou numérique] / Teresa TAVASSOLI, Auteur ; Lucy J. MILLER, Auteur ; Sarah A. SCHOEN, Auteur ; Darci M. NIELSEN, Auteur ; Simon BARON-COHEN, Auteur . - p.428-432.
Langues : Anglais (eng)
in Autism > 18-4 (May 2014) . - p.428-432
Mots-clés : autism spectrum conditions autistic traits Sensory Over-Responsivity Scale Index. décimale : PER Périodiques Résumé : Anecdotal reports and empirical evidence suggest that sensory processing issues are a key feature of autism spectrum conditions. This study set out to investigate whether adults with autism spectrum conditions report more sensory over-responsivity than adults without autism spectrum conditions. Another goal of the study was to identify whether autistic traits in adults with and without autism spectrum conditions were associated with sensory over-responsivity. Adults with (n = 221) and without (n = 181) autism spectrum conditions participated in an online survey. The Autism Spectrum Quotient, the Raven Matrices and the Sensory Processing Scale were used to characterize the sample. Adults with autism spectrum conditions reported more sensory over-responsivity than control participants across various sensory domains (visual, auditory, tactile, olfactory, gustatory and proprioceptive). Sensory over-responsivity correlated positively with autistic traits (Autism Spectrum Quotient) at a significant level across groups and within groups. Adults with autism spectrum conditions experience sensory over-responsivity to daily sensory stimuli to a high degree. A positive relationship exists between sensory over-responsivity and autistic traits. Understanding sensory over-responsivity and ways of measuring it in adults with autism spectrum conditions has implications for research and clinical settings. En ligne : http://dx.doi.org/10.1177/1362361313477246 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=232 Serum proteomic analysis identifies sex-specific differences in lipid metabolism and inflammation profiles in adults diagnosed with Asperger syndrome / Hannah STEEB in Molecular Autism, (January 2014)
[article]
Titre : Serum proteomic analysis identifies sex-specific differences in lipid metabolism and inflammation profiles in adults diagnosed with Asperger syndrome Type de document : Texte imprimé et/ou numérique Auteurs : Hannah STEEB, Auteur ; Jordan RAMSEY, Auteur ; Paul GUEST, Auteur ; Pawel STOCKI, Auteur ; Jason COOPER, Auteur ; Hassan RAHMOUNE, Auteur ; Erin INGUDOMNUKUL, Auteur ; Bonnie AUYEUNG, Auteur ; Liliana RUTA, Auteur ; Simon BARON-COHEN, Auteur ; Sabine BAHN, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The higher prevalence of Asperger Syndrome (AS) and other autism spectrum conditions in males has been known for many years. However, recent multiplex immunoassay profiling studies have shown that males and females with AS have distinct proteomic changes in serum. Here, we analysed sera from adults diagnosed with AS (males=14, females=16) and controls (males=13, females=16) not on medication at the time of sample collection, using a combination of multiplex immunoassay and shotgun label-free liquid chromatography mass spectrometry (LC-MSE). The main objective was to identify sex-specific serum protein changes associated with AS. Multiplex immunoassay profiling led to identification of 16 proteins that were significantly altered in AS individuals in a sex-specific manner. Three of these proteins were altered in females (ADIPO, IgA, APOA1), seven were changed in males (BMP6, CTGF, ICAM1, IL-12p70, IL-16, TF, TNF-alpha) and six were changed in both sexes but in opposite directions (CHGA, EPO, IL-3, TENA, PAP, SHBG). Shotgun LC-MSE profiling led to identification of 13 serum proteins which had significant sex-specific changes in the AS group and, of these, 12 were altered in females (APOC2, APOE, ARMC3, CLC4K, FETUB, GLCE, MRRP1, PTPA, RN149, TLE1, TRIPB, ZC3HE) and one protein was altered in males (RGPD4). The free androgen index in females with AS showed an increased ratio of 1.63 compared to controls.CONCLUSION:Taken together, the serum multiplex immunoassay and shotgun LC-MSE profiling results indicate that adult females with AS had alterations in proteins involved mostly in lipid transport and metabolism pathways, while adult males with AS showed changes predominantly in inflammation signalling. These results provide further evidence that the search for biomarkers or novel drug targets in AS may require stratification into male and female subgroups, and could lead to the development of novel targeted treatment approaches. En ligne : http://dx.doi.org/10.1186/2040-2392-5-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227
in Molecular Autism > (January 2014)[article] Serum proteomic analysis identifies sex-specific differences in lipid metabolism and inflammation profiles in adults diagnosed with Asperger syndrome [Texte imprimé et/ou numérique] / Hannah STEEB, Auteur ; Jordan RAMSEY, Auteur ; Paul GUEST, Auteur ; Pawel STOCKI, Auteur ; Jason COOPER, Auteur ; Hassan RAHMOUNE, Auteur ; Erin INGUDOMNUKUL, Auteur ; Bonnie AUYEUNG, Auteur ; Liliana RUTA, Auteur ; Simon BARON-COHEN, Auteur ; Sabine BAHN, Auteur.
Langues : Anglais (eng)
in Molecular Autism > (January 2014)
Index. décimale : PER Périodiques Résumé : The higher prevalence of Asperger Syndrome (AS) and other autism spectrum conditions in males has been known for many years. However, recent multiplex immunoassay profiling studies have shown that males and females with AS have distinct proteomic changes in serum. Here, we analysed sera from adults diagnosed with AS (males=14, females=16) and controls (males=13, females=16) not on medication at the time of sample collection, using a combination of multiplex immunoassay and shotgun label-free liquid chromatography mass spectrometry (LC-MSE). The main objective was to identify sex-specific serum protein changes associated with AS. Multiplex immunoassay profiling led to identification of 16 proteins that were significantly altered in AS individuals in a sex-specific manner. Three of these proteins were altered in females (ADIPO, IgA, APOA1), seven were changed in males (BMP6, CTGF, ICAM1, IL-12p70, IL-16, TF, TNF-alpha) and six were changed in both sexes but in opposite directions (CHGA, EPO, IL-3, TENA, PAP, SHBG). Shotgun LC-MSE profiling led to identification of 13 serum proteins which had significant sex-specific changes in the AS group and, of these, 12 were altered in females (APOC2, APOE, ARMC3, CLC4K, FETUB, GLCE, MRRP1, PTPA, RN149, TLE1, TRIPB, ZC3HE) and one protein was altered in males (RGPD4). The free androgen index in females with AS showed an increased ratio of 1.63 compared to controls.CONCLUSION:Taken together, the serum multiplex immunoassay and shotgun LC-MSE profiling results indicate that adult females with AS had alterations in proteins involved mostly in lipid transport and metabolism pathways, while adult males with AS showed changes predominantly in inflammation signalling. These results provide further evidence that the search for biomarkers or novel drug targets in AS may require stratification into male and female subgroups, and could lead to the development of novel targeted treatment approaches. En ligne : http://dx.doi.org/10.1186/2040-2392-5-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227 Sex-typical Play: Masculinization/Defeminization in Girls with an Autism Spectrum Condition / Rebecca C. KNICKMEYER in Journal of Autism and Developmental Disorders, 38-6 (July 2008)
[article]
Titre : Sex-typical Play: Masculinization/Defeminization in Girls with an Autism Spectrum Condition Type de document : Texte imprimé et/ou numérique Auteurs : Rebecca C. KNICKMEYER, Auteur ; Simon BARON-COHEN, Auteur ; Sally WHEELWRIGHT, Auteur Année de publication : 2008 Article en page(s) : p.1028-1035 Langues : Anglais (eng) Mots-clés : Autism Sex-differences Play Fetal-testosterone Index. décimale : PER Périodiques Résumé : We tested the hypothesis that prenatal masculinization of the brain by androgens increases risk of developing an autism spectrum condition (ASC). Sex-typical play was measured in n = 66 children diagnosed with an ASC and n = 55 typically developing age-matched controls. Consistent with the hypothesis, girls with autism did not show the female-typical play preferences, though this was only seen on non-pretence items. Boys with autism showed a preference for male play on non-pretence items, in keeping with their sex. Girls with autism engaged in more pretend play than boys with autism, suggesting that pretence is relatively more protected in females with autism. We conclude that play preference studies in ASC provide partial support for the fetal androgen theory. En ligne : http://dx.doi.org/10.1007/s10803-007-0475-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473
in Journal of Autism and Developmental Disorders > 38-6 (July 2008) . - p.1028-1035[article] Sex-typical Play: Masculinization/Defeminization in Girls with an Autism Spectrum Condition [Texte imprimé et/ou numérique] / Rebecca C. KNICKMEYER, Auteur ; Simon BARON-COHEN, Auteur ; Sally WHEELWRIGHT, Auteur . - 2008 . - p.1028-1035.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 38-6 (July 2008) . - p.1028-1035
Mots-clés : Autism Sex-differences Play Fetal-testosterone Index. décimale : PER Périodiques Résumé : We tested the hypothesis that prenatal masculinization of the brain by androgens increases risk of developing an autism spectrum condition (ASC). Sex-typical play was measured in n = 66 children diagnosed with an ASC and n = 55 typically developing age-matched controls. Consistent with the hypothesis, girls with autism did not show the female-typical play preferences, though this was only seen on non-pretence items. Boys with autism showed a preference for male play on non-pretence items, in keeping with their sex. Girls with autism engaged in more pretend play than boys with autism, suggesting that pretence is relatively more protected in females with autism. We conclude that play preference studies in ASC provide partial support for the fetal androgen theory. En ligne : http://dx.doi.org/10.1007/s10803-007-0475-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473 Single nucleotide polymorphism rs6716901 in SLC25A12 gene is associated with Asperger syndrome / Jaroslava DURDIAKOVA in Molecular Autism, (March 2014)
[article]
Titre : Single nucleotide polymorphism rs6716901 in SLC25A12 gene is associated with Asperger syndrome Type de document : Texte imprimé et/ou numérique Auteurs : Jaroslava DURDIAKOVA, Auteur ; Varun WARRIER, Auteur ; Simon BARON-COHEN, Auteur ; Bhismadev CHAKRABARTI, Auteur Article en page(s) : p.1-5 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism Spectrum Conditions (ASC) are a group of developmental conditions which affect communication, social interactions and behaviour. Mitochondrial oxidative dysfunction has been suggested as a mechanism of autism based on the results of multiple genetic association and expression studies. SLC25A12 is a gene encoding a calcium-binding carrier protein that localizes to the mitochondria and is involved in the exchange of aspartate for glutamate in the inner membrane of the mitochondria regulating the cytosolic redox state. rs2056202 SNP in this gene has previously been associated with ASC. SNPs rs6716901 and rs3765166 analysed in this study have not been previously explored in association with AS. En ligne : http://dx.doi.org/10.1186/2040-2392-5-25 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276
in Molecular Autism > (March 2014) . - p.1-5[article] Single nucleotide polymorphism rs6716901 in SLC25A12 gene is associated with Asperger syndrome [Texte imprimé et/ou numérique] / Jaroslava DURDIAKOVA, Auteur ; Varun WARRIER, Auteur ; Simon BARON-COHEN, Auteur ; Bhismadev CHAKRABARTI, Auteur . - p.1-5.
Langues : Anglais (eng)
in Molecular Autism > (March 2014) . - p.1-5
Index. décimale : PER Périodiques Résumé : Autism Spectrum Conditions (ASC) are a group of developmental conditions which affect communication, social interactions and behaviour. Mitochondrial oxidative dysfunction has been suggested as a mechanism of autism based on the results of multiple genetic association and expression studies. SLC25A12 is a gene encoding a calcium-binding carrier protein that localizes to the mitochondria and is involved in the exchange of aspartate for glutamate in the inner membrane of the mitochondria regulating the cytosolic redox state. rs2056202 SNP in this gene has previously been associated with ASC. SNPs rs6716901 and rs3765166 analysed in this study have not been previously explored in association with AS. En ligne : http://dx.doi.org/10.1186/2040-2392-5-25 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276 Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI / M. J. LEMING in Molecular Autism, 12 (2021)
[article]
Titre : Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI Type de document : Texte imprimé et/ou numérique Auteurs : M. J. LEMING, Auteur ; Simon BARON-COHEN, Auteur ; J. SUCKLING, Auteur Article en page(s) : 34 p. Langues : Anglais (eng) Mots-clés : Autism Deep learning Functional connectivity Structural similarity Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism has previously been characterized by both structural and functional differences in brain connectivity. However, while the literature on single-subject derivations of functional connectivity is extensively developed, similar methods of structural connectivity or similarity derivation from T1 MRI are less studied. METHODS: We introduce a technique of deriving symmetric similarity matrices from regional histograms of grey matter volumes estimated from T1-weighted MRIs. We then validated the technique by inputting the similarity matrices into a convolutional neural network (CNN) to classify between participants with autism and age-, motion-, and intracranial-volume-matched controls from six different databases (29,288 total connectomes, mean age = 30.72, range 0.42-78.00, including 1555 subjects with autism). We compared this method to similar classifications of the same participants using fMRI connectivity matrices as well as univariate estimates of grey matter volumes. We further applied graph-theoretical metrics on output class activation maps to identify areas of the matrices that the CNN preferentially used to make the classification, focusing particularly on hubs. LIMITATIONS: While this study used a large sample size, the majority of data was from a young age group; furthermore, to make a viable machine learning study, we treated autism, a highly heterogeneous condition, as a binary label. Thus, these results are not necessarily generalizable to all subtypes and age groups in autism. RESULTS: Our models gave AUROCs of 0.7298 (69.71% accuracy) when classifying by only structural similarity, 0.6964 (67.72% accuracy) when classifying by only functional connectivity, and 0.7037 (66.43% accuracy) when classifying by univariate grey matter volumes. Combining structural similarity and functional connectivity gave an AUROC of 0.7354 (69.40% accuracy). Analysis of classification performance across age revealed the greatest accuracy in adolescents, in which most data were present. Graph analysis of class activation maps revealed no distinguishable network patterns for functional inputs, but did reveal localized differences between groups in bilateral Heschl's gyrus and upper vermis for structural similarity. CONCLUSION: This study provides a simple means of feature extraction for inputting large numbers of structural MRIs into machine learning models. Our methods revealed a unique emphasis of the deep learning model on the structure of the bilateral Heschl's gyrus when characterizing autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00439-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459
in Molecular Autism > 12 (2021) . - 34 p.[article] Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI [Texte imprimé et/ou numérique] / M. J. LEMING, Auteur ; Simon BARON-COHEN, Auteur ; J. SUCKLING, Auteur . - 34 p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 34 p.
Mots-clés : Autism Deep learning Functional connectivity Structural similarity Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism has previously been characterized by both structural and functional differences in brain connectivity. However, while the literature on single-subject derivations of functional connectivity is extensively developed, similar methods of structural connectivity or similarity derivation from T1 MRI are less studied. METHODS: We introduce a technique of deriving symmetric similarity matrices from regional histograms of grey matter volumes estimated from T1-weighted MRIs. We then validated the technique by inputting the similarity matrices into a convolutional neural network (CNN) to classify between participants with autism and age-, motion-, and intracranial-volume-matched controls from six different databases (29,288 total connectomes, mean age = 30.72, range 0.42-78.00, including 1555 subjects with autism). We compared this method to similar classifications of the same participants using fMRI connectivity matrices as well as univariate estimates of grey matter volumes. We further applied graph-theoretical metrics on output class activation maps to identify areas of the matrices that the CNN preferentially used to make the classification, focusing particularly on hubs. LIMITATIONS: While this study used a large sample size, the majority of data was from a young age group; furthermore, to make a viable machine learning study, we treated autism, a highly heterogeneous condition, as a binary label. Thus, these results are not necessarily generalizable to all subtypes and age groups in autism. RESULTS: Our models gave AUROCs of 0.7298 (69.71% accuracy) when classifying by only structural similarity, 0.6964 (67.72% accuracy) when classifying by only functional connectivity, and 0.7037 (66.43% accuracy) when classifying by univariate grey matter volumes. Combining structural similarity and functional connectivity gave an AUROC of 0.7354 (69.40% accuracy). Analysis of classification performance across age revealed the greatest accuracy in adolescents, in which most data were present. Graph analysis of class activation maps revealed no distinguishable network patterns for functional inputs, but did reveal localized differences between groups in bilateral Heschl's gyrus and upper vermis for structural similarity. CONCLUSION: This study provides a simple means of feature extraction for inputting large numbers of structural MRIs into machine learning models. Our methods revealed a unique emphasis of the deep learning model on the structure of the bilateral Heschl's gyrus when characterizing autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00439-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459 Social brain activation during mentalizing in a large autism cohort: the Longitudinal European Autism Project / Carolin MOESSNANG in Molecular Autism, 11 (2020)
PermalinkSocial Conformity in Autism / S. C. LAZZARO in Journal of Autism and Developmental Disorders, 49-3 (March 2019)
PermalinkSpatial localisation in autism: evidence for differences in early cortical visual processing / Keziah LATHAM in Molecular Autism, (February 2013)
PermalinkSTX1A and Asperger syndrome: a replication study / Jaroslava DURDIAKOVA in Molecular Autism, (February 2014)
PermalinkSubgrouping siblings of people with autism: Identifying the broader autism phenotype / Emily RUZICH in Autism Research, 9-6 (June 2016)
PermalinkSystemizing and empathizing / Sally WHEELWRIGHT
PermalinkTask-related functional connectivity in autism spectrum conditions: an EEG study using wavelet transform coherence / Ana CATARINO in Molecular Autism, (January 2013)
PermalinkTaste Identification in Adults with Autism Spectrum Conditions / Teresa TAVASSOLI in Journal of Autism and Developmental Disorders, 42-7 (July 2012)
PermalinkTeaching Adults With Autism Spectrum Conditions to Recognize Emotions: Systematic Training for Empathizing Difficulties / Ofer GOLAN
PermalinkTest-retest reliability of the 'Reading the Mind in the Eyes' test: a one-year follow-up study / Enrique FERNANDEZ-ABASCAL in Molecular Autism, (September 2013)
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