64 recherche sur le mot-clé 'schizophrenia'

Association between schizophrenia and autism spectrum disorder: A systematic review and meta-analysis / Zhen ZHENG in Autism Research, 11-8 (August 2018)  

Public ISBD [article]  inAutism Research > 11-8 (August 2018) . - p.1110-1119 Titre : Association between schizophrenia and autism spectrum disorder: A systematic review and meta-analysis Type de document : texte imprimé Auteurs : Zhen ZHENG, Auteur ; Peng ZHENG, Auteur ; Xiaobing ZOU, Auteur Article en page(s) : p.1110-1119 Langues : Anglais (eng) Mots-clés : association  autism spectrum disorder  meta-analysis  schizophrenia Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are significant public health problems. Scientists have recently explored the association between schizophrenia and ASD, but the findings are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to examine the association between schizophrenia and ASD. PubMed, Embase, and the Cochrane Library were used for literature searches to identify eligible studies published in English before October 2, 2017. Relevant studies estimating the association between schizophrenia and ASD were included. The meta-analysis of the prevalence of schizophrenia in individuals with ASD encompassed 1,950,113 participants and 14,945 individuals with ASD. A random-effects model was chosen to synthesize the effect sizes of individual studies. The prevalence of schizophrenia was significantly higher in individuals with ASD than in controls (odds ratio = 3.55, 95% confidence interval: 2.08-6.05, P < .001). Both sensitivity analysis and publication bias testing revealed that the findings were robust. The systematic review of the prevalence of ASD in individuals with schizophrenia encompassed 930 participants. The prevalence of ASD in individuals with schizophrenia ranged from 3.4 to 52%. The systematic review and meta-analysis showed a significant association between schizophrenia and ASD. Autism Research 2018, 11: 1110-1119. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This systematic review and meta-analysis explored the association between schizophrenia and ASD. We found that the prevalence of schizophrenia was significantly higher in individuals with ASD than in controls and the prevalence of ASD in individuals with schizophrenia ranged from 3.4 to 52%. A comprehensive estimation of schizophrenia and ASD has important implications for the diagnosis, treatment, prognosis, and development of a fundamental understanding of these disorders. En ligne : http://dx.doi.org/10.1002/aur.1977 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 [article] Association between schizophrenia and autism spectrum disorder: A systematic review and meta-analysis [texte imprimé] / Zhen ZHENG, Auteur ; Peng ZHENG, Auteur ; Xiaobing ZOU, Auteur . - p.1110-1119. Langues : Anglais (eng) in Autism Research > 11-8 (August 2018) . - p.1110-1119 Mots-clés : association  autism spectrum disorder  meta-analysis  schizophrenia Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are significant public health problems. Scientists have recently explored the association between schizophrenia and ASD, but the findings are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to examine the association between schizophrenia and ASD. PubMed, Embase, and the Cochrane Library were used for literature searches to identify eligible studies published in English before October 2, 2017. Relevant studies estimating the association between schizophrenia and ASD were included. The meta-analysis of the prevalence of schizophrenia in individuals with ASD encompassed 1,950,113 participants and 14,945 individuals with ASD. A random-effects model was chosen to synthesize the effect sizes of individual studies. The prevalence of schizophrenia was significantly higher in individuals with ASD than in controls (odds ratio = 3.55, 95% confidence interval: 2.08-6.05, P < .001). Both sensitivity analysis and publication bias testing revealed that the findings were robust. The systematic review of the prevalence of ASD in individuals with schizophrenia encompassed 930 participants. The prevalence of ASD in individuals with schizophrenia ranged from 3.4 to 52%. The systematic review and meta-analysis showed a significant association between schizophrenia and ASD. Autism Research 2018, 11: 1110-1119. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This systematic review and meta-analysis explored the association between schizophrenia and ASD. We found that the prevalence of schizophrenia was significantly higher in individuals with ASD than in controls and the prevalence of ASD in individuals with schizophrenia ranged from 3.4 to 52%. A comprehensive estimation of schizophrenia and ASD has important implications for the diagnosis, treatment, prognosis, and development of a fundamental understanding of these disorders. En ligne : http://dx.doi.org/10.1002/aur.1977 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369

Shared atypical default mode and salience network functional connectivity between autism and schizophrenia / Heng CHEN in Autism Research, 10-11 (November 2017)  

Public ISBD [article]  inAutism Research > 10-11 (November 2017) . - p.1776-1786 Titre : Shared atypical default mode and salience network functional connectivity between autism and schizophrenia Type de document : texte imprimé Auteurs : Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Xujun DUAN, Auteur ; Junjie ZHENG, Auteur ; Zhiliang LONG, Auteur ; Youxue ZHANG, Auteur ; Xiaonan GUO, Auteur ; Yan ZHANG, Auteur ; Jingping ZHAO, Auteur ; Huafu CHEN, Auteur Article en page(s) : p.1776-1786 Langues : Anglais (eng) Mots-clés : schizophrenia  autism spectrum disorder  functional connectivity  multivariate pattern analysis  default mode network  salience network Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6 ± 1.8 years old) and 31 healthy controls (15.4 ± 1.6 years old). Data from 22 participants with ASD (13.1 ± 3.1 years old) and 21 healthy controls (12.9 ± 2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy = 83%; ASD dataset: accuracy = 80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p = 0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776–1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1002/aur.1834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322 [article] Shared atypical default mode and salience network functional connectivity between autism and schizophrenia [texte imprimé] / Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Xujun DUAN, Auteur ; Junjie ZHENG, Auteur ; Zhiliang LONG, Auteur ; Youxue ZHANG, Auteur ; Xiaonan GUO, Auteur ; Yan ZHANG, Auteur ; Jingping ZHAO, Auteur ; Huafu CHEN, Auteur . - p.1776-1786. Langues : Anglais (eng) in Autism Research > 10-11 (November 2017) . - p.1776-1786 Mots-clés : schizophrenia  autism spectrum disorder  functional connectivity  multivariate pattern analysis  default mode network  salience network Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6 ± 1.8 years old) and 31 healthy controls (15.4 ± 1.6 years old). Data from 22 participants with ASD (13.1 ± 3.1 years old) and 21 healthy controls (12.9 ± 2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy = 83%; ASD dataset: accuracy = 80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p = 0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776–1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1002/aur.1834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322

Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms / Gisela SUGRANYES in Journal of Child Psychology and Psychiatry, 62-6 (June 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-6 (June 2021) . - p.780-789 Titre : Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms Type de document : texte imprimé Auteurs : Gisela SUGRANYES, Auteur ; Elena DE LA SERNA, Auteur ; Daniel ILZARBE, Auteur ; Jose Carlos PARIENTE, Auteur ; Roger BORRAS, Auteur ; Soledad ROMERO, Auteur ; Mireia ROSA, Auteur ; Inmaculada BAEZA, Auteur ; Maria Dolores MORENO, Auteur ; Miguel BERNARDO, Auteur ; Eduard VIETA, Auteur ; Josefina CASTRO-FORNIELES, Auteur Article en page(s) : p.780-789 Langues : Anglais (eng) Mots-clés : Adolescent  Bipolar Disorder/diagnostic imaging  Brain/diagnostic imaging  Cross-Sectional Studies  Genetic Predisposition to Disease  Humans  Magnetic Resonance Imaging  Psychotic Disorders/diagnostic imaging  Schizophrenia/diagnostic imaging/genetics  High-risk studies  bipolar  psychosis  schizophrenia  structural MRI Index. décimale : PER Périodiques Résumé : BACKGROUND: The evaluation of child and adolescent offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) may help understand changes taking place in the brain in individuals at heightened risk for disease during a key developmental period. METHODS: One hundred twenty-eight individuals (33 SzO and 46 BpO, considered jointly as 'Familial High Risk' (FHR), and 49 controls) aged 6-17 years underwent clinical, cognitive and neuroimaging assessment at baseline, 2- and 4-year follow-up. Twenty FHR participants (11 SzO and 9 BpO) developed psychotic spectrum symptoms during follow-up, while 59 FHR participants did not. Magnetic resonance imaging was performed on a 3Tesla scanner; cortical surface reconstruction was applied to measure cortical thickness, surface area and grey matter volume. RESULTS: FHR participants who developed psychotic spectrum symptoms over time showed greater time-related mean cortical thinning than those who did not and than controls. By subgroups, this effect was present in both BpO and SzO in the occipital cortex. At baseline, FHR participants who developed psychotic spectrum symptoms over time had smaller total surface area and grey matter volume than those who did not and than controls. Over time, all FHR participants showed less longitudinal decrease in surface area than controls. In those who developed psychotic spectrum symptoms over time, this effect was driven by BpO, while in those who did not, this was due to SzO, who also showed less grey matter volume reduction. CONCLUSION: The emergence of psychotic spectrum symptoms in FHR was indexed by smaller cross-sectional surface area and progressive cortical thinning. Relative preservation of surface area over time may signal different processes according to familial risk. These findings lay the foundation for future studies aimed at stratification of FHR youth. En ligne : http://dx.doi.org/10.1111/jcpp.13321 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms [texte imprimé] / Gisela SUGRANYES, Auteur ; Elena DE LA SERNA, Auteur ; Daniel ILZARBE, Auteur ; Jose Carlos PARIENTE, Auteur ; Roger BORRAS, Auteur ; Soledad ROMERO, Auteur ; Mireia ROSA, Auteur ; Inmaculada BAEZA, Auteur ; Maria Dolores MORENO, Auteur ; Miguel BERNARDO, Auteur ; Eduard VIETA, Auteur ; Josefina CASTRO-FORNIELES, Auteur . - p.780-789. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-6 (June 2021) . - p.780-789 Mots-clés : Adolescent  Bipolar Disorder/diagnostic imaging  Brain/diagnostic imaging  Cross-Sectional Studies  Genetic Predisposition to Disease  Humans  Magnetic Resonance Imaging  Psychotic Disorders/diagnostic imaging  Schizophrenia/diagnostic imaging/genetics  High-risk studies  bipolar  psychosis  schizophrenia  structural MRI Index. décimale : PER Périodiques Résumé : BACKGROUND: The evaluation of child and adolescent offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) may help understand changes taking place in the brain in individuals at heightened risk for disease during a key developmental period. METHODS: One hundred twenty-eight individuals (33 SzO and 46 BpO, considered jointly as 'Familial High Risk' (FHR), and 49 controls) aged 6-17 years underwent clinical, cognitive and neuroimaging assessment at baseline, 2- and 4-year follow-up. Twenty FHR participants (11 SzO and 9 BpO) developed psychotic spectrum symptoms during follow-up, while 59 FHR participants did not. Magnetic resonance imaging was performed on a 3Tesla scanner; cortical surface reconstruction was applied to measure cortical thickness, surface area and grey matter volume. RESULTS: FHR participants who developed psychotic spectrum symptoms over time showed greater time-related mean cortical thinning than those who did not and than controls. By subgroups, this effect was present in both BpO and SzO in the occipital cortex. At baseline, FHR participants who developed psychotic spectrum symptoms over time had smaller total surface area and grey matter volume than those who did not and than controls. Over time, all FHR participants showed less longitudinal decrease in surface area than controls. In those who developed psychotic spectrum symptoms over time, this effect was driven by BpO, while in those who did not, this was due to SzO, who also showed less grey matter volume reduction. CONCLUSION: The emergence of psychotic spectrum symptoms in FHR was indexed by smaller cross-sectional surface area and progressive cortical thinning. Relative preservation of surface area over time may signal different processes according to familial risk. These findings lay the foundation for future studies aimed at stratification of FHR youth. En ligne : http://dx.doi.org/10.1111/jcpp.13321 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Functional characterization of rare NRXN1 variants identified in autism spectrum disorders and schizophrenia / Kanako ISHIZUKA in Journal of Neurodevelopmental Disorders, 12 (2020)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 12 (2020) Titre : Functional characterization of rare NRXN1 variants identified in autism spectrum disorders and schizophrenia Type de document : texte imprimé Auteurs : Kanako ISHIZUKA, Auteur ; Tomoyuki YOSHIDA, Auteur ; Takeshi KAWABATA, Auteur ; Ayako IMAI, Auteur ; Hisashi MORI, Auteur ; Hiroki KIMURA, Auteur ; Toshiya INADA, Auteur ; Yuko OKAHISA, Auteur ; Jun EGAWA, Auteur ; Masahide USAMI, Auteur ; Itaru KUSHIMA, Auteur ; Mako MORIKAWA, Auteur ; Takashi OKADA, Auteur ; Masashi IKEDA, Auteur ; Aleksic BRANKO, Auteur ; Daisuke MORI, Auteur ; Toshiyuki SOMEYA, Auteur ; Nakao IWATA, Auteur ; Norio OZAKI, Auteur Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/genetics  Calcium-Binding Proteins/genetics  Exons  Heterozygote  Humans  Mutation  Neural Cell Adhesion Molecules/genetics  Schizophrenia/genetics  Autism spectrum disorders  Genotype-phenotype  Missense variants  Nrxn1  Neurodevelopmental disorder  Schizophrenia  Targeted resequencing  Ultra-rare variants Index. décimale : PER Périodiques Résumé : BACKGROUND: Rare genetic variants contribute to the etiology of both autism spectrum disorder (ASD) and schizophrenia (SCZ). Most genetic studies limit their focus to likely gene-disrupting mutations because they are relatively easier to interpret their effects on the gene product. Interpretation of missense variants is also informative to some pathophysiological mechanisms of these neurodevelopmental disorders; however, their contribution has not been elucidated because of relatively small effects. Therefore, we characterized missense variants detected in NRXN1, a well-known neurodevelopmental disease-causing gene, from individuals with ASD and SCZ. METHODS: To discover rare variants with large effect size and to evaluate their role in the shared etiopathophysiology of ASD and SCZ, we sequenced NRXN1 coding exons with a sample comprising 562 Japanese ASD and SCZ patients, followed by a genetic association analysis in 4273 unrelated individuals. Impact of each missense variant detected here on cell surface expression, interaction with NLGN1, and synaptogenic activity was analyzed using an in vitro functional assay and in silico three-dimensional (3D) structural modeling. RESULTS: Through mutation screening, we regarded three ultra-rare missense variants (T737M, D772G, and R856W), all of which affected the LNS4 domain of NRXN1α isoform, as disease-associated variants. Diagnosis of individuals with T737M, D772G, and R856W was 1ASD and 1SCZ, 1ASD, and 1SCZ, respectively. We observed the following phenotypic and functional burden caused by each variant. (i) D772G and R856W carriers had more serious social disabilities than T737M carriers. (ii) In vitro assay showed reduced cell surface expression of NRXN1α by D772G and R856W mutations. In vitro functional analysis showed decreased NRXN1α-NLGN1 interaction of T737M and D772G mutants. (iii) In silico 3D structural modeling indicated that T737M and D772G mutations could destabilize the rod-shaped structure of LNS2-LNS5 domains, and D772G and R856W could disturb N-glycan conformations for the transport signal. CONCLUSIONS: The combined data suggest that missense variants in NRXN1 could be associated with phenotypes of neurodevelopmental disorders beyond the diagnosis of ASD and/or SCZ. En ligne : https://dx.doi.org/10.1186/s11689-020-09325-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=573 [article] Functional characterization of rare NRXN1 variants identified in autism spectrum disorders and schizophrenia [texte imprimé] / Kanako ISHIZUKA, Auteur ; Tomoyuki YOSHIDA, Auteur ; Takeshi KAWABATA, Auteur ; Ayako IMAI, Auteur ; Hisashi MORI, Auteur ; Hiroki KIMURA, Auteur ; Toshiya INADA, Auteur ; Yuko OKAHISA, Auteur ; Jun EGAWA, Auteur ; Masahide USAMI, Auteur ; Itaru KUSHIMA, Auteur ; Mako MORIKAWA, Auteur ; Takashi OKADA, Auteur ; Masashi IKEDA, Auteur ; Aleksic BRANKO, Auteur ; Daisuke MORI, Auteur ; Toshiyuki SOMEYA, Auteur ; Nakao IWATA, Auteur ; Norio OZAKI, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 12 (2020) Mots-clés : Autism Spectrum Disorder/genetics  Calcium-Binding Proteins/genetics  Exons  Heterozygote  Humans  Mutation  Neural Cell Adhesion Molecules/genetics  Schizophrenia/genetics  Autism spectrum disorders  Genotype-phenotype  Missense variants  Nrxn1  Neurodevelopmental disorder  Schizophrenia  Targeted resequencing  Ultra-rare variants Index. décimale : PER Périodiques Résumé : BACKGROUND: Rare genetic variants contribute to the etiology of both autism spectrum disorder (ASD) and schizophrenia (SCZ). Most genetic studies limit their focus to likely gene-disrupting mutations because they are relatively easier to interpret their effects on the gene product. Interpretation of missense variants is also informative to some pathophysiological mechanisms of these neurodevelopmental disorders; however, their contribution has not been elucidated because of relatively small effects. Therefore, we characterized missense variants detected in NRXN1, a well-known neurodevelopmental disease-causing gene, from individuals with ASD and SCZ. METHODS: To discover rare variants with large effect size and to evaluate their role in the shared etiopathophysiology of ASD and SCZ, we sequenced NRXN1 coding exons with a sample comprising 562 Japanese ASD and SCZ patients, followed by a genetic association analysis in 4273 unrelated individuals. Impact of each missense variant detected here on cell surface expression, interaction with NLGN1, and synaptogenic activity was analyzed using an in vitro functional assay and in silico three-dimensional (3D) structural modeling. RESULTS: Through mutation screening, we regarded three ultra-rare missense variants (T737M, D772G, and R856W), all of which affected the LNS4 domain of NRXN1α isoform, as disease-associated variants. Diagnosis of individuals with T737M, D772G, and R856W was 1ASD and 1SCZ, 1ASD, and 1SCZ, respectively. We observed the following phenotypic and functional burden caused by each variant. (i) D772G and R856W carriers had more serious social disabilities than T737M carriers. (ii) In vitro assay showed reduced cell surface expression of NRXN1α by D772G and R856W mutations. In vitro functional analysis showed decreased NRXN1α-NLGN1 interaction of T737M and D772G mutants. (iii) In silico 3D structural modeling indicated that T737M and D772G mutations could destabilize the rod-shaped structure of LNS2-LNS5 domains, and D772G and R856W could disturb N-glycan conformations for the transport signal. CONCLUSIONS: The combined data suggest that missense variants in NRXN1 could be associated with phenotypes of neurodevelopmental disorders beyond the diagnosis of ASD and/or SCZ. En ligne : https://dx.doi.org/10.1186/s11689-020-09325-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=573

Heterogeneity of social cognitive performance in autism and schizophrenia / Michal HAJDUK in Autism Research, 15-8 (August 2022)  

Public ISBD [article]  inAutism Research > 15-8 (August 2022) . - p.1522-1534 Titre : Heterogeneity of social cognitive performance in autism and schizophrenia Type de document : texte imprimé Auteurs : Michal HAJDUK, Auteur ; Amy E. PINKHAM, Auteur ; David L. PENN, Auteur ; Philip D. HARVEY, Auteur ; Noah J. SASSON, Auteur Article en page(s) : p.1522-1534 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/psychology  Autistic Disorder/psychology  Cognition  Humans  Intellectual Disability  Male  Schizophrenia/complications  Social Behavior  Social Cognition  Young Adult  autism spectrum disorders  cluster  heterogeneity  schizophrenia Index. décimale : PER Périodiques Résumé : Autistic adults and those with schizophrenia (SCZ) demonstrate similar levels of reduced social cognitive performance at the group level, but it is unclear whether these patterns are relatively consistent or highly variable within and between the two conditions. Seventy-two adults with SCZ (52 male, M(age)  = 28.2years) and 94 with diagnoses on the autism spectrum (83 male, M(age)  = 24.2years) without intellectual disability completed a comprehensive social cognitive battery. Latent profile analysis identified four homogeneous subgroups that were compared on their diagnosis, independent living skills, neurocognition, and symptomatology. Two groups showed normative performance across most social cognitive tasks but were differentiated by one having significantly higher hostility and blaming biases. Autistic participants were more likely to demonstrate fully normative performance (46.8%) than participants with SCZ, whereas normative performance in SCZ was more likely to co-occur with increased hostility and blaming biases (36.1%). Approximately 43% of participants in the full sample were classified into the remaining two groups showing low or very low performance. These participants tended to perform worse on neurocognitive tests and have lower IQ and fewer independent living skills. The prevalence of low performance on social cognitive tasks was comparable across clinical groups. However, nearly half of autistic participants demonstrated normative social cognitive performance, challenging assumptions that reduced social cognitive performance is inherent to the condition. Subgrouping also revealed a meaningful distinction between the clinical groups: participants with SCZ were more likely to demonstrate hostility biases than autistic participants, even when social cognitive performance was otherwise in the typical range. LAY SUMMARY: Social cognition refers to the perception and interpretation of social information. Previous research has shown that both autistic people and those with schizophrenia demonstrate reduced performance on traditional social cognitive tasks, which we replicate here at the group level. However, we also found that almost half of autistic participants performed in the normal range. Over a third of participants with schizophrenia did as well, but for them this performance was accompanied by a hostility bias not commonly found in the autistic sample. Taken together, findings challenge assumptions that difficulties in social cognition are a uniform characteristic of these clinical conditions in those without intellectual disability. En ligne : http://dx.doi.org/10.1002/aur.2730 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483 [article] Heterogeneity of social cognitive performance in autism and schizophrenia [texte imprimé] / Michal HAJDUK, Auteur ; Amy E. PINKHAM, Auteur ; David L. PENN, Auteur ; Philip D. HARVEY, Auteur ; Noah J. SASSON, Auteur . - p.1522-1534. Langues : Anglais (eng) in Autism Research > 15-8 (August 2022) . - p.1522-1534 Mots-clés : Adult  Autism Spectrum Disorder/psychology  Autistic Disorder/psychology  Cognition  Humans  Intellectual Disability  Male  Schizophrenia/complications  Social Behavior  Social Cognition  Young Adult  autism spectrum disorders  cluster  heterogeneity  schizophrenia Index. décimale : PER Périodiques Résumé : Autistic adults and those with schizophrenia (SCZ) demonstrate similar levels of reduced social cognitive performance at the group level, but it is unclear whether these patterns are relatively consistent or highly variable within and between the two conditions. Seventy-two adults with SCZ (52 male, M(age)  = 28.2years) and 94 with diagnoses on the autism spectrum (83 male, M(age)  = 24.2years) without intellectual disability completed a comprehensive social cognitive battery. Latent profile analysis identified four homogeneous subgroups that were compared on their diagnosis, independent living skills, neurocognition, and symptomatology. Two groups showed normative performance across most social cognitive tasks but were differentiated by one having significantly higher hostility and blaming biases. Autistic participants were more likely to demonstrate fully normative performance (46.8%) than participants with SCZ, whereas normative performance in SCZ was more likely to co-occur with increased hostility and blaming biases (36.1%). Approximately 43% of participants in the full sample were classified into the remaining two groups showing low or very low performance. These participants tended to perform worse on neurocognitive tests and have lower IQ and fewer independent living skills. The prevalence of low performance on social cognitive tasks was comparable across clinical groups. However, nearly half of autistic participants demonstrated normative social cognitive performance, challenging assumptions that reduced social cognitive performance is inherent to the condition. Subgrouping also revealed a meaningful distinction between the clinical groups: participants with SCZ were more likely to demonstrate hostility biases than autistic participants, even when social cognitive performance was otherwise in the typical range. LAY SUMMARY: Social cognition refers to the perception and interpretation of social information. Previous research has shown that both autistic people and those with schizophrenia demonstrate reduced performance on traditional social cognitive tasks, which we replicate here at the group level. However, we also found that almost half of autistic participants performed in the normal range. Over a third of participants with schizophrenia did as well, but for them this performance was accompanied by a hostility bias not commonly found in the autistic sample. Taken together, findings challenge assumptions that difficulties in social cognition are a uniform characteristic of these clinical conditions in those without intellectual disability. En ligne : http://dx.doi.org/10.1002/aur.2730 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483

Mental disorders in preadolescent children at familial high-risk of schizophrenia or bipolar disorder - a four-year follow-up study: The Danish High Risk and Resilience Study, VIA 11: The Danish High Risk and Resilience Study, VIA 11 / Maja GREGERSEN in Journal of Child Psychology and Psychiatry, 63-9 (September 2022)  

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Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene-environment correlation / Sandra MACHLITT-NORTHEN in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)  

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Pupil size and pupillary light reflex in early infancy: heritability and link to genetic liability to schizophrenia / Ana Maria PORTUGAL in Journal of Child Psychology and Psychiatry, 63-9 (September 2022)  

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Analysis of the expression pattern of the schizophrenia-risk and intellectual disability gene TCF4 in the developing and adult brain suggests a role in development and plasticity of cortical and hippocampal neurons / Matthias JUNG in Molecular Autism, 9 (2018)  

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Asperger Syndrome and Schizophrenia: A Comparative Neuropsychological Study / Maria MARINOPOULOU in Journal of Autism and Developmental Disorders, 46-7 (July 2016)  

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