6 recherche sur le mot-clé 'Autistic Disorder/diagnostic imaging'

A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia / Nikolaos STOGIANNOS in Autism, 26-4 (May 2022)  

Public ISBD [article]  inAutism > 26-4 (May 2022) . - p.782-797 Titre : A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia Type de document : texte imprimé Auteurs : Nikolaos STOGIANNOS, Auteur ; Sarah CARLIER, Auteur ; Jane M. HARVEY-LLOYD, Auteur ; Andrea BRAMMER, Auteur ; Barbara NUGENT, Auteur ; Karen CLEAVER, Auteur ; Jonathan P. MCNULTY, Auteur ; Cláudia Sá DOS REIS, Auteur ; Christina MALAMATENIOU, Auteur Article en page(s) : p.782-797 Langues : Anglais (eng) Mots-clés : Anesthesia  Anxiety  Autism Spectrum Disorder  Autistic Disorder/diagnostic imaging  Humans  Magnetic Resonance Imaging  Mri  adjustment  autism  person-centred  systematic review  conflicts of interest with respect to the research, authorship, and/or  publication of this article. Index. décimale : PER Périodiques Résumé : Autistic patients often undergo magnetic resonance imaging examinations. Within this environment, it is usual to feel anxious and overwhelmed by noises, lights or other people. The narrow scanners, the loud noises and the long examination time can easily cause panic attacks. This review aims to identify any adaptations for autistic individuals to have a magnetic resonance imaging scan without sedation or anaesthesia. Out of 4442 articles screened, 53 more relevant were evaluated and 21 were finally included in this study. Customising communication, different techniques to improve the environment, using technology for familiarisation and distraction have been used in previous studies. The results of this study can be used to make suggestions on how to improve magnetic resonance imaging practice and the autistic patient experience. They can also be used to create training for the healthcare professionals using the magnetic resonance imaging scanners. En ligne : https://dx.doi.org/10.1177/13623613211065542 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473 [article] A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia [texte imprimé] / Nikolaos STOGIANNOS, Auteur ; Sarah CARLIER, Auteur ; Jane M. HARVEY-LLOYD, Auteur ; Andrea BRAMMER, Auteur ; Barbara NUGENT, Auteur ; Karen CLEAVER, Auteur ; Jonathan P. MCNULTY, Auteur ; Cláudia Sá DOS REIS, Auteur ; Christina MALAMATENIOU, Auteur . - p.782-797. Langues : Anglais (eng) in Autism > 26-4 (May 2022) . - p.782-797 Mots-clés : Anesthesia  Anxiety  Autism Spectrum Disorder  Autistic Disorder/diagnostic imaging  Humans  Magnetic Resonance Imaging  Mri  adjustment  autism  person-centred  systematic review  conflicts of interest with respect to the research, authorship, and/or  publication of this article. Index. décimale : PER Périodiques Résumé : Autistic patients often undergo magnetic resonance imaging examinations. Within this environment, it is usual to feel anxious and overwhelmed by noises, lights or other people. The narrow scanners, the loud noises and the long examination time can easily cause panic attacks. This review aims to identify any adaptations for autistic individuals to have a magnetic resonance imaging scan without sedation or anaesthesia. Out of 4442 articles screened, 53 more relevant were evaluated and 21 were finally included in this study. Customising communication, different techniques to improve the environment, using technology for familiarisation and distraction have been used in previous studies. The results of this study can be used to make suggestions on how to improve magnetic resonance imaging practice and the autistic patient experience. They can also be used to create training for the healthcare professionals using the magnetic resonance imaging scanners. En ligne : https://dx.doi.org/10.1177/13623613211065542 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473

Fetal brain growth and infant autistic traits / Ezra AYDIN in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 11p. Titre : Fetal brain growth and infant autistic traits Type de document : texte imprimé Auteurs : Ezra AYDIN, Auteur ; Alex TSOMPANIDIS, Auteur ; Daren CHAPLIN, Auteur ; Rebecca HAWKES, Auteur ; Carrie ALLISON, Auteur ; Gerald HACKETT, Auteur ; Topun AUSTIN, Auteur ; EglÄ— PADAIGAITÄ–, Auteur ; Lidia V. GABIS, Auteur ; John SUCKING, Auteur ; Rosemary J. HOLT, Auteur ; Simon BARON-COHEN, Auteur Article en page(s) : 11p. Langues : Anglais (eng) Mots-clés : Male  Infant  Pregnancy  Female  Humans  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Gestational Age  Autistic traits  Early brain development  Q-chat  Transcerebellar diameter  Ultrasound Index. décimale : PER Périodiques Résumé : BACKGROUND: Structural differences exist in the brains of autistic individuals. To date only a few studies have explored the relationship between fetal brain growth and later infant autistic traits, and some have used fetal head circumference (HC) as a proxy for brain development. These findings have been inconsistent. Here we investigate whether fetal subregional brain measurements correlate with autistic traits in toddlers. METHODS: A total of 219 singleton pregnancies (104 males and 115 females) were recruited at the Rosie Hospital, Cambridge, UK. 2D ultrasound was performed at 12-, 20- and between 26 and 30 weeks of pregnancy, measuring head circumference (HC), ventricular atrium (VA) and transcerebellar diameter (TCD). A total of 179 infants were followed up at 18-20 months of age and completed the quantitative checklist for autism in toddlers (Q-CHAT) to measure autistic traits. RESULTS: Q-CHAT scores at 18-20 months of age were positively associated with TCD size at 20 weeks and with HC at 28 weeks, in univariate analyses, and in multiple regression models which controlled for sex, maternal age and birth weight. LIMITATIONS: Due to the nature and location of the study, ascertainment bias could also have contributed to the recruitment of volunteer mothers with a higher than typical range of autistic traits and/or with a significant interest in the neurodevelopment of their children. CONCLUSION: Prenatal brain growth is associated with toddler autistic traits and this can be ascertained via ultrasound starting at 20 weeks gestation. En ligne : https://dx.doi.org/10.1186/s13229-024-00586-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Fetal brain growth and infant autistic traits [texte imprimé] / Ezra AYDIN, Auteur ; Alex TSOMPANIDIS, Auteur ; Daren CHAPLIN, Auteur ; Rebecca HAWKES, Auteur ; Carrie ALLISON, Auteur ; Gerald HACKETT, Auteur ; Topun AUSTIN, Auteur ; EglÄ— PADAIGAITÄ–, Auteur ; Lidia V. GABIS, Auteur ; John SUCKING, Auteur ; Rosemary J. HOLT, Auteur ; Simon BARON-COHEN, Auteur . - 11p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 11p. Mots-clés : Male  Infant  Pregnancy  Female  Humans  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Gestational Age  Autistic traits  Early brain development  Q-chat  Transcerebellar diameter  Ultrasound Index. décimale : PER Périodiques Résumé : BACKGROUND: Structural differences exist in the brains of autistic individuals. To date only a few studies have explored the relationship between fetal brain growth and later infant autistic traits, and some have used fetal head circumference (HC) as a proxy for brain development. These findings have been inconsistent. Here we investigate whether fetal subregional brain measurements correlate with autistic traits in toddlers. METHODS: A total of 219 singleton pregnancies (104 males and 115 females) were recruited at the Rosie Hospital, Cambridge, UK. 2D ultrasound was performed at 12-, 20- and between 26 and 30 weeks of pregnancy, measuring head circumference (HC), ventricular atrium (VA) and transcerebellar diameter (TCD). A total of 179 infants were followed up at 18-20 months of age and completed the quantitative checklist for autism in toddlers (Q-CHAT) to measure autistic traits. RESULTS: Q-CHAT scores at 18-20 months of age were positively associated with TCD size at 20 weeks and with HC at 28 weeks, in univariate analyses, and in multiple regression models which controlled for sex, maternal age and birth weight. LIMITATIONS: Due to the nature and location of the study, ascertainment bias could also have contributed to the recruitment of volunteer mothers with a higher than typical range of autistic traits and/or with a significant interest in the neurodevelopment of their children. CONCLUSION: Prenatal brain growth is associated with toddler autistic traits and this can be ascertained via ultrasound starting at 20 weeks gestation. En ligne : https://dx.doi.org/10.1186/s13229-024-00586-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Default mode and fronto-parietal network associations with IQ development across childhood in autism / Joshua K. LEE in Journal of Neurodevelopmental Disorders, 14 (2022)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 14 (2022) Titre : Default mode and fronto-parietal network associations with IQ development across childhood in autism Type de document : texte imprimé Auteurs : Joshua K. LEE, Auteur ; An Chuen Billy CHO, Auteur ; Derek S. ANDREWS, Auteur ; Sally OZONOFF, Auteur ; Sally J. ROGERS, Auteur ; David G. AMARAL, Auteur ; Marjorie SOLOMON, Auteur ; Christine Wu NORDAHL, Auteur Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/complications/diagnostic imaging  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Female  Humans  Intellectual Disability/complications  Autism spectrum disorder  Default mode  Fronto-parietal  Iq  Intellectual disability  Longitudinal  MRI  Inc., and Axial Therapeutics. The other authors declare that they have competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Intellectual disability affects approximately one third of individuals with autism spectrum disorder (autism). Yet, a major unresolved neurobiological question is what differentiates autistic individuals with and without intellectual disability. Intelligence quotients (IQs) are highly variable during childhood. We previously identified three subgroups of autistic children with different trajectories of intellectual development from early (2-3½ years) to middle childhood (9-12 years): (a) persistently high: individuals whose IQs remained in the normal range; (b) persistently low: individuals whose IQs remained in the range of intellectual disability (IQ < 70); and (c) changers: individuals whose IQs began in the range of intellectual disability but increased to the normal IQ range. The frontoparietal (FPN) and default mode (DMN) networks have established links to intellectual functioning. Here, we tested whether brain regions within the FPN and DMN differed volumetrically between these IQ trajectory groups in early childhood. METHODS: We conducted multivariate distance matrix regression to examine the brain regions within the FPN (11 regions x 2 hemispheres) and the DMN (12 regions x 2 hemispheres) in 48 persistently high (18 female), 108 persistently low (32 female), and 109 changers (39 female) using structural MRI acquired at baseline. FPN and DMN regions were defined using networks identified in Smith et al. (Proc Natl Acad Sci U S A 106:13040-5, 2009). IQ trajectory groups were defined by IQ measurements from up to three time points spanning early to middle childhood (mean age time 1: 3.2 years; time 2: 5.4 years; time 3: 11.3 years). RESULTS: The changers group exhibited volumetric differences in the DMN compared to both the persistently low and persistently high groups at time 1. However, the persistently high group did not differ from the persistently low group, suggesting that DMN structure may be an early predictor for change in IQ trajectory. In contrast, the persistently high group exhibited differences in the FPN compared to both the persistently low and changers groups, suggesting differences related more to concurrent IQ and the absence of intellectual disability. CONCLUSIONS: Within autism, volumetric differences of brain regions within the DMN in early childhood may differentiate individuals with persistently low IQ from those with low IQ that improves through childhood. Structural differences in brain networks between these three IQ-based subgroups highlight distinct neural underpinnings of these autism sub-phenotypes. En ligne : https://dx.doi.org/10.1186/s11689-022-09460-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 [article] Default mode and fronto-parietal network associations with IQ development across childhood in autism [texte imprimé] / Joshua K. LEE, Auteur ; An Chuen Billy CHO, Auteur ; Derek S. ANDREWS, Auteur ; Sally OZONOFF, Auteur ; Sally J. ROGERS, Auteur ; David G. AMARAL, Auteur ; Marjorie SOLOMON, Auteur ; Christine Wu NORDAHL, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 14 (2022) Mots-clés : Autism Spectrum Disorder/complications/diagnostic imaging  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Female  Humans  Intellectual Disability/complications  Autism spectrum disorder  Default mode  Fronto-parietal  Iq  Intellectual disability  Longitudinal  MRI  Inc., and Axial Therapeutics. The other authors declare that they have competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Intellectual disability affects approximately one third of individuals with autism spectrum disorder (autism). Yet, a major unresolved neurobiological question is what differentiates autistic individuals with and without intellectual disability. Intelligence quotients (IQs) are highly variable during childhood. We previously identified three subgroups of autistic children with different trajectories of intellectual development from early (2-3½ years) to middle childhood (9-12 years): (a) persistently high: individuals whose IQs remained in the normal range; (b) persistently low: individuals whose IQs remained in the range of intellectual disability (IQ < 70); and (c) changers: individuals whose IQs began in the range of intellectual disability but increased to the normal IQ range. The frontoparietal (FPN) and default mode (DMN) networks have established links to intellectual functioning. Here, we tested whether brain regions within the FPN and DMN differed volumetrically between these IQ trajectory groups in early childhood. METHODS: We conducted multivariate distance matrix regression to examine the brain regions within the FPN (11 regions x 2 hemispheres) and the DMN (12 regions x 2 hemispheres) in 48 persistently high (18 female), 108 persistently low (32 female), and 109 changers (39 female) using structural MRI acquired at baseline. FPN and DMN regions were defined using networks identified in Smith et al. (Proc Natl Acad Sci U S A 106:13040-5, 2009). IQ trajectory groups were defined by IQ measurements from up to three time points spanning early to middle childhood (mean age time 1: 3.2 years; time 2: 5.4 years; time 3: 11.3 years). RESULTS: The changers group exhibited volumetric differences in the DMN compared to both the persistently low and persistently high groups at time 1. However, the persistently high group did not differ from the persistently low group, suggesting that DMN structure may be an early predictor for change in IQ trajectory. In contrast, the persistently high group exhibited differences in the FPN compared to both the persistently low and changers groups, suggesting differences related more to concurrent IQ and the absence of intellectual disability. CONCLUSIONS: Within autism, volumetric differences of brain regions within the DMN in early childhood may differentiate individuals with persistently low IQ from those with low IQ that improves through childhood. Structural differences in brain networks between these three IQ-based subgroups highlight distinct neural underpinnings of these autism sub-phenotypes. En ligne : https://dx.doi.org/10.1186/s11689-022-09460-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574

Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort / Ting MEI in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 3p. Titre : Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort Type de document : texte imprimé Auteurs : Ting MEI, Auteur ; Alberto LLERA, Auteur ; Natalie J. FORDE, Auteur ; Daan VAN ROOIJ, Auteur ; Dorothea L. FLORIS, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur Article en page(s) : 3p. Langues : Anglais (eng) Mots-clés : Humans  Gray Matter/diagnostic imaging  Autistic Disorder/diagnostic imaging  Autism Spectrum Disorder/diagnostic imaging  Retrospective Studies  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autism  Gray matter volume covariation  Replication  advisory board member of, and a speaker for Janssen Cilag BV, Eli Lilly, Shire,  Lundbeck, Roche, and Servier. He is not an employee of any of these companies,  and not a stock shareholder of any of these companies. He has no other financial  or material support, including expert testimony, patents or royalties. The  present work is unrelated to the above grants and relationships. The other  authors report no biomedical financial interests or potential conflicts of  interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group. METHODS: We studied 781 autistic and 927 non-autistic individuals (6-30 years, IQ?? 50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants' loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group. RESULTS: The two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (? = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (? = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085). LIMITATIONS: The distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample. CONCLUSIONS: The current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns. En ligne : https://dx.doi.org/10.1186/s13229-024-00583-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort [texte imprimé] / Ting MEI, Auteur ; Alberto LLERA, Auteur ; Natalie J. FORDE, Auteur ; Daan VAN ROOIJ, Auteur ; Dorothea L. FLORIS, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur . - 3p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 3p. Mots-clés : Humans  Gray Matter/diagnostic imaging  Autistic Disorder/diagnostic imaging  Autism Spectrum Disorder/diagnostic imaging  Retrospective Studies  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autism  Gray matter volume covariation  Replication  advisory board member of, and a speaker for Janssen Cilag BV, Eli Lilly, Shire,  Lundbeck, Roche, and Servier. He is not an employee of any of these companies,  and not a stock shareholder of any of these companies. He has no other financial  or material support, including expert testimony, patents or royalties. The  present work is unrelated to the above grants and relationships. The other  authors report no biomedical financial interests or potential conflicts of  interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group. METHODS: We studied 781 autistic and 927 non-autistic individuals (6-30 years, IQ?? 50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants' loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group. RESULTS: The two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (? = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (? = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085). LIMITATIONS: The distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample. CONCLUSIONS: The current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns. En ligne : https://dx.doi.org/10.1186/s13229-024-00583-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

Sex differentiation of brain structures in autism: Findings from a gray matter asymmetry study / Zhizhou DENG in Autism Research, 14-6 (June 2021)  

Public ISBD [article]  inAutism Research > 14-6 (June 2021) . - p.1115-1126 Titre : Sex differentiation of brain structures in autism: Findings from a gray matter asymmetry study Type de document : texte imprimé Auteurs : Zhizhou DENG, Auteur ; Suiping WANG, Auteur Article en page(s) : p.1115-1126 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Female  Gray Matter/diagnostic imaging  Humans  Magnetic Resonance Imaging  Male  Sex Differentiation  Mri  autism  brain  gray matter  gray matter asymmetry  sex differences Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is diagnosed much more often in males than females. This male predominance has prompted a number of studies to examine how sex differences are related to the neural expression of ASD. Different theories, such as the "extreme male brain" theory, the "female protective effect" (FPE) theory, and the gender incoherence (GI) theory, provide different explanations for the mixed findings of sex-related neural expression of ASD. This study sought to clarify whether either theory applies to the brain structure in individuals with ASD by analyzing a selective high-quality data subset from an open data resource (Autism Brain Imaging Data Exchange I and II) including 35 males/35 females with ASD and 86 male/86 female typical-controls (TCs). We examined the sex-related changes in ASD in gray matter asymmetry measures (i.e., asymmetry index, AI) derived from voxel-based morphometry using a 2 (diagnosis: ASD vs. TC) ×  2 (sex: female vs. male) factorial design. A diagnosis-by-sex interaction effect was identified in the planum temporale/Heschl's gyrus: (i) compared to females, males exhibited decreased AI (indicating more leftward brain asymmetry) in the TC group, whereas AI was greater (indicating less leftward brain asymmetry) for males than for females in the ASD group; and (ii) females with ASD showed reduced AI (indicating more leftward brain asymmetry) compared to female TCs, whereas there were no differences between ASDs and TCs in the male group. This interaction pattern supports the FPE theory in showing greater brain structure changes (masculinization) in females with ASD. LAY SUMMARY: To understand the neural mechanisms underlying male predominance in autism spectrum disorder (ASD), we investigated the sex differences in ASD-related alterations in brain asymmetry. We found greater changes in females with ASD compared with males with ASD, revealing a female protective effect. These findings provide novel insights into the neurobiology of sex differences in ASD. En ligne : http://dx.doi.org/10.1002/aur.2506 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Sex differentiation of brain structures in autism: Findings from a gray matter asymmetry study [texte imprimé] / Zhizhou DENG, Auteur ; Suiping WANG, Auteur . - p.1115-1126. Langues : Anglais (eng) in Autism Research > 14-6 (June 2021) . - p.1115-1126 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Female  Gray Matter/diagnostic imaging  Humans  Magnetic Resonance Imaging  Male  Sex Differentiation  Mri  autism  brain  gray matter  gray matter asymmetry  sex differences Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is diagnosed much more often in males than females. This male predominance has prompted a number of studies to examine how sex differences are related to the neural expression of ASD. Different theories, such as the "extreme male brain" theory, the "female protective effect" (FPE) theory, and the gender incoherence (GI) theory, provide different explanations for the mixed findings of sex-related neural expression of ASD. This study sought to clarify whether either theory applies to the brain structure in individuals with ASD by analyzing a selective high-quality data subset from an open data resource (Autism Brain Imaging Data Exchange I and II) including 35 males/35 females with ASD and 86 male/86 female typical-controls (TCs). We examined the sex-related changes in ASD in gray matter asymmetry measures (i.e., asymmetry index, AI) derived from voxel-based morphometry using a 2 (diagnosis: ASD vs. TC) ×  2 (sex: female vs. male) factorial design. A diagnosis-by-sex interaction effect was identified in the planum temporale/Heschl's gyrus: (i) compared to females, males exhibited decreased AI (indicating more leftward brain asymmetry) in the TC group, whereas AI was greater (indicating less leftward brain asymmetry) for males than for females in the ASD group; and (ii) females with ASD showed reduced AI (indicating more leftward brain asymmetry) compared to female TCs, whereas there were no differences between ASDs and TCs in the male group. This interaction pattern supports the FPE theory in showing greater brain structure changes (masculinization) in females with ASD. LAY SUMMARY: To understand the neural mechanisms underlying male predominance in autism spectrum disorder (ASD), we investigated the sex differences in ASD-related alterations in brain asymmetry. We found greater changes in females with ASD compared with males with ASD, revealing a female protective effect. These findings provide novel insights into the neurobiology of sex differences in ASD. En ligne : http://dx.doi.org/10.1002/aur.2506 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Facial expression recognition is linked to clinical and neurofunctional differences in autism / Hannah MEYER-LINDENBERG in Molecular Autism, 13 (2022)  

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