Disrupted Modular Integration of the Reward System Is Associated With Social Deficits in Autism Spectrum Disorder / Chen YANG in Autism Research, 19-6 (June 2026)  

Public ISBD [article]  inAutism Research > 19-6 (June 2026) . - p.e70241 Titre : Disrupted Modular Integration of the Reward System Is Associated With Social Deficits in Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Chen YANG, Auteur ; Ai-Ping SUN, Auteur ; Sheng-Zhi MA, Auteur ; Wen-Qiang DONG, Auteur ; Xiao CHEN, Auteur ; Shuai-Yu CHEN, Auteur ; Yuqi YOU, Auteur ; Yu-Feng ZANG, Auteur ; Li-Xia YUAN, Auteur Article en page(s) : p.e70241 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  gene expression  modular integration  neurotransmitter  reward system  social brain Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with atypical social communication as a core symptom. Variations in social information processing in individuals with ASD are associated with the social brain, which encompasses four specific subnetworks, that is, reward system, theory of mind network, mirror neuron system, and face perception network. However, the relationship between neural mechanisms of altered social functioning and modular integration of these subnetworks within the social brain remains unclear in ASD. With resting-state functional MRI (rs-fMRI) data from two large-scale datasets (ABIDE I and II), we computed the participation coefficient to explore the abnormal modular integration of the four subnetworks in 298 ASDs and 348 typically developing (TD) controls. Then, its associations with clinical symptoms, neurotransmitter systems, and transcriptional signatures were investigated. Additionally, the age effect on aberrant modular integration was estimated with linear regression models. Finally, we assessed the reproducibility of our results from a meta-perspective using other datasets. ASD participants exhibited increased integration of the reward system relative to TDs, which was correlated with Social Responsiveness Scale total score, the neurotransmitters such as 5HT1a and GABAa, and the disruption of the transcriptional signatures including cell proliferation and migration as well as tube and tissue morphogenesis. Additionally, the modular integration abnormality of the reward system was stable across development and replicated across datasets. We revealed a symptom-related, neurotransmitter- and transcriptional signature-associated, age-stable, and reproducible modular integration abnormality of the reward system in ASD. This hyper-integration was linked to reduced GABAa and serotonin receptor densities, providing neuroimaging and molecular evidence supporting the excitatory-inhibitory imbalance theory of ASD and insights into the mechanisms underlying social variations in ASD. En ligne : https://doi.org/10.1002/aur.70241 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589 [article] Disrupted Modular Integration of the Reward System Is Associated With Social Deficits in Autism Spectrum Disorder [texte imprimé] / Chen YANG, Auteur ; Ai-Ping SUN, Auteur ; Sheng-Zhi MA, Auteur ; Wen-Qiang DONG, Auteur ; Xiao CHEN, Auteur ; Shuai-Yu CHEN, Auteur ; Yuqi YOU, Auteur ; Yu-Feng ZANG, Auteur ; Li-Xia YUAN, Auteur . - p.e70241. Langues : Anglais (eng) in Autism Research > 19-6 (June 2026) . - p.e70241 Mots-clés : autism spectrum disorder  gene expression  modular integration  neurotransmitter  reward system  social brain Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with atypical social communication as a core symptom. Variations in social information processing in individuals with ASD are associated with the social brain, which encompasses four specific subnetworks, that is, reward system, theory of mind network, mirror neuron system, and face perception network. However, the relationship between neural mechanisms of altered social functioning and modular integration of these subnetworks within the social brain remains unclear in ASD. With resting-state functional MRI (rs-fMRI) data from two large-scale datasets (ABIDE I and II), we computed the participation coefficient to explore the abnormal modular integration of the four subnetworks in 298 ASDs and 348 typically developing (TD) controls. Then, its associations with clinical symptoms, neurotransmitter systems, and transcriptional signatures were investigated. Additionally, the age effect on aberrant modular integration was estimated with linear regression models. Finally, we assessed the reproducibility of our results from a meta-perspective using other datasets. ASD participants exhibited increased integration of the reward system relative to TDs, which was correlated with Social Responsiveness Scale total score, the neurotransmitters such as 5HT1a and GABAa, and the disruption of the transcriptional signatures including cell proliferation and migration as well as tube and tissue morphogenesis. Additionally, the modular integration abnormality of the reward system was stable across development and replicated across datasets. We revealed a symptom-related, neurotransmitter- and transcriptional signature-associated, age-stable, and reproducible modular integration abnormality of the reward system in ASD. This hyper-integration was linked to reduced GABAa and serotonin receptor densities, providing neuroimaging and molecular evidence supporting the excitatory-inhibitory imbalance theory of ASD and insights into the mechanisms underlying social variations in ASD. En ligne : https://doi.org/10.1002/aur.70241 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589

Robust Autism Spectrum Disorder-Related Spatial Covariance Gray Matter Pattern Revealed With a Large-Scale Multi-Center Dataset / Sheng-Zhi MA ; Xing-Ke WANG ; Chen YANG ; Wen-Qiang DONG ; Dan-Dan CHEN ; Chao SONG ; Qiu-Rong ZHANG ; Yu-Feng ZANG ; Li-Xia YUAN in Autism Research, 18-2 (February 2025)  

Public ISBD [article]  inAutism Research > 18-2 (February 2025) . - p.312-324 Titre : Robust Autism Spectrum Disorder-Related Spatial Covariance Gray Matter Pattern Revealed With a Large-Scale Multi-Center Dataset : Autism Research Type de document : texte imprimé Auteurs : Sheng-Zhi MA, Auteur ; Xing-Ke WANG, Auteur ; Chen YANG, Auteur ; Wen-Qiang DONG, Auteur ; Dan-Dan CHEN, Auteur ; Chao SONG, Auteur ; Qiu-Rong ZHANG, Auteur ; Yu-Feng ZANG, Auteur ; Li-Xia YUAN, Auteur Article en page(s) : p.312-324 Langues : Anglais (eng) Mots-clés : autism spectrum disorder (ASD) gray matter (GM) volume robustness spatial covariance pattern structural MRI images (sMRI) Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms. We utilized T1-weighted structural MRI images (sMRI) of 576 subjects (288 ASDs and 288 typically developing (TD) controls) aged 7 29 years from the Autism Brain Imaging Data Exchange II (ABIDE II) dataset. These images were analyzed with SSM-PCA to identify the ASD-related spatial covariance pattern. Subsequently, we investigated the relationship between the pattern and clinical symptoms and verified its robustness. Then, the applicability of the pattern under different age stages were further explored. The results revealed that the ASD-related pattern primarily involves the thalamus, putamen, parahippocampus, orbitofrontal cortex, and cerebellum. The expression of this pattern correlated with Social Response Scale and Social Communication Questionnaire scores. Moreover, the ASD-related pattern was robust for the ABIDE I dataset. Regarding the applicability of the pattern for different age stages, the effect sizes of its expression in ASD were medium in the children and adults, while small in adolescents. This study identified a robust ASD-related pattern based on gray matter volume that is associated with social deficits. Our findings provide new insights into the neuroanatomical mechanisms of ASD and may facilitate its future intervention. En ligne : https://doi.org/10.1002/aur.3303 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=547 [article] Robust Autism Spectrum Disorder-Related Spatial Covariance Gray Matter Pattern Revealed With a Large-Scale Multi-Center Dataset : Autism Research [texte imprimé] / Sheng-Zhi MA, Auteur ; Xing-Ke WANG, Auteur ; Chen YANG, Auteur ; Wen-Qiang DONG, Auteur ; Dan-Dan CHEN, Auteur ; Chao SONG, Auteur ; Qiu-Rong ZHANG, Auteur ; Yu-Feng ZANG, Auteur ; Li-Xia YUAN, Auteur . - p.312-324. Langues : Anglais (eng) in Autism Research > 18-2 (February 2025) . - p.312-324 Mots-clés : autism spectrum disorder (ASD) gray matter (GM) volume robustness spatial covariance pattern structural MRI images (sMRI) Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms. We utilized T1-weighted structural MRI images (sMRI) of 576 subjects (288 ASDs and 288 typically developing (TD) controls) aged 7 29 years from the Autism Brain Imaging Data Exchange II (ABIDE II) dataset. These images were analyzed with SSM-PCA to identify the ASD-related spatial covariance pattern. Subsequently, we investigated the relationship between the pattern and clinical symptoms and verified its robustness. Then, the applicability of the pattern under different age stages were further explored. The results revealed that the ASD-related pattern primarily involves the thalamus, putamen, parahippocampus, orbitofrontal cortex, and cerebellum. The expression of this pattern correlated with Social Response Scale and Social Communication Questionnaire scores. Moreover, the ASD-related pattern was robust for the ABIDE I dataset. Regarding the applicability of the pattern for different age stages, the effect sizes of its expression in ASD were medium in the children and adults, while small in adolescents. This study identified a robust ASD-related pattern based on gray matter volume that is associated with social deficits. Our findings provide new insights into the neuroanatomical mechanisms of ASD and may facilitate its future intervention. En ligne : https://doi.org/10.1002/aur.3303 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=547

Validity and Cutoff Score of the Autism Mental Status Exam for an Autism Spectrum Disorder Diagnosis in Chinese Children / Dong HAN ; Huizhi ZHOU ; Chen YANG ; Kun ZHANG ; Shi CHEN ; Runxu YANG ; Xia CAO ; David GRODBERG ; Xudong ZHAO ; Chuanyuan KANG in Journal of Autism and Developmental Disorders, 53-12 (December 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-12 (December 2023) . - p.4822-4829 Titre : Validity and Cutoff Score of the Autism Mental Status Exam for an Autism Spectrum Disorder Diagnosis in Chinese Children Type de document : texte imprimé Auteurs : Dong HAN, Auteur ; Huizhi ZHOU, Auteur ; Chen YANG, Auteur ; Kun ZHANG, Auteur ; Shi CHEN, Auteur ; Runxu YANG, Auteur ; Xia CAO, Auteur ; David GRODBERG, Auteur ; Xudong ZHAO, Auteur ; Chuanyuan KANG, Auteur Article en page(s) : p.4822-4829 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The Autism Mental Status exam (AMSE) has demonstrated excellent sensitivity and specificity in Western high-risk population with suspected autism spectrum disorder (ASD). This study aimed to evaluate the psychometric properties of the AMSE in a sample of high-risk Chinese children, and to determine the optimal cutoff score of the Chinese version of the AMSE in supporting ASD diagnosis. 66 young children aged from 2 to 11 years with suspected ASD were enrolled in the present study. A diagnosis of ASD or non-ASD was determined by a Best Estimate Diagnosis protocol according to the DSM-5 criteria. Receiver operating characteristic (ROC) curve analysis was conducted to assess the validity of the AMSE and search for the most effective cutoff score. The ROC curve analysis yields the area under the ROC curve of 0.98 which represents excellent diagnostic accuracy. Findings indicate the optimal cutoff score of the Chinese version of the AMSE was estimated as 6, producing the highest sensitivity of 98% and a specificity of 87%. Preliminary findings of the study suggest the AMSE has promising psychometric properties as an assessment tool for identifying ASD symptoms and supporting diagnostic decision-making in high-risk Chinese children population. En ligne : https://doi.org/10.1007/s10803-022-05730-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=516 [article] Validity and Cutoff Score of the Autism Mental Status Exam for an Autism Spectrum Disorder Diagnosis in Chinese Children [texte imprimé] / Dong HAN, Auteur ; Huizhi ZHOU, Auteur ; Chen YANG, Auteur ; Kun ZHANG, Auteur ; Shi CHEN, Auteur ; Runxu YANG, Auteur ; Xia CAO, Auteur ; David GRODBERG, Auteur ; Xudong ZHAO, Auteur ; Chuanyuan KANG, Auteur . - p.4822-4829. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-12 (December 2023) . - p.4822-4829 Index. décimale : PER Périodiques Résumé : The Autism Mental Status exam (AMSE) has demonstrated excellent sensitivity and specificity in Western high-risk population with suspected autism spectrum disorder (ASD). This study aimed to evaluate the psychometric properties of the AMSE in a sample of high-risk Chinese children, and to determine the optimal cutoff score of the Chinese version of the AMSE in supporting ASD diagnosis. 66 young children aged from 2 to 11 years with suspected ASD were enrolled in the present study. A diagnosis of ASD or non-ASD was determined by a Best Estimate Diagnosis protocol according to the DSM-5 criteria. Receiver operating characteristic (ROC) curve analysis was conducted to assess the validity of the AMSE and search for the most effective cutoff score. The ROC curve analysis yields the area under the ROC curve of 0.98 which represents excellent diagnostic accuracy. Findings indicate the optimal cutoff score of the Chinese version of the AMSE was estimated as 6, producing the highest sensitivity of 98% and a specificity of 87%. Preliminary findings of the study suggest the AMSE has promising psychometric properties as an assessment tool for identifying ASD symptoms and supporting diagnostic decision-making in high-risk Chinese children population. En ligne : https://doi.org/10.1007/s10803-022-05730-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=516

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