Effectiveness of physical activity interventions for core symptoms of autism spectrum disorder: A systematic review and meta-analysis / Shimeng WANG in Autism Research, 16-9 (September 2023)  

Public ISBD [article]  inAutism Research > 16-9 (September 2023) . - p.1811-1824 Titre : Effectiveness of physical activity interventions for core symptoms of autism spectrum disorder: A systematic review and meta-analysis Type de document : texte imprimé Auteurs : Shimeng WANG, Auteur ; Dan-Dan Chen, Auteur ; Yang YANG, Auteur ; Lina ZHU, Auteur ; Xuan XIONG, Auteur ; Aiguo CHEN, Auteur Article en page(s) : p.1811-1824 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract In this paper, systematic review and meta-analysis were used to demonstrate the effectiveness of physical activity intervention on core symptoms of autism spectrum disorder (ASD). Physical activity intervention for core symptoms of ASD were retrieved by computer from the PubMed Cochrane Library, Web of Science, APA PsycNet, and CNKI database during December 1, 2022. Two researchers evaluated the quality of the included literature and extracted the data. Sixteen studies were eventually included, with a total of 587 patients with ASD. Meta-analysis showed that the core symptoms of ASD patients decreased after physical activity intervention, ES(g)=0.681(95% CI: 0.380-0.982, p=0.000), specifically, physical activity improved the reduction of social disorder ES(g)=0.749(95% CI: 0.524-0.973) and repeated rigid behavior ES(g)=0.553 (95% CI: 0.079 to 1.186). Subgroup analysis showed that preschool children with ASD who were 3-6 years old, exercised for more than 12 weeks, more than 3 times a week, and exercised for more than 90 min per session had better improvement in core symptoms after participating in physical activity. The conclusion of this paper is that physical activity intervention can improve the core symptoms of ASD, especially the reduction of social disorders and repetitive behaviors. En ligne : https://doi.org/10.1002/aur.3004 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510 [article] Effectiveness of physical activity interventions for core symptoms of autism spectrum disorder: A systematic review and meta-analysis [texte imprimé] / Shimeng WANG, Auteur ; Dan-Dan Chen, Auteur ; Yang YANG, Auteur ; Lina ZHU, Auteur ; Xuan XIONG, Auteur ; Aiguo CHEN, Auteur . - p.1811-1824. Langues : Anglais (eng) in Autism Research > 16-9 (September 2023) . - p.1811-1824 Index. décimale : PER Périodiques Résumé : Abstract In this paper, systematic review and meta-analysis were used to demonstrate the effectiveness of physical activity intervention on core symptoms of autism spectrum disorder (ASD). Physical activity intervention for core symptoms of ASD were retrieved by computer from the PubMed Cochrane Library, Web of Science, APA PsycNet, and CNKI database during December 1, 2022. Two researchers evaluated the quality of the included literature and extracted the data. Sixteen studies were eventually included, with a total of 587 patients with ASD. Meta-analysis showed that the core symptoms of ASD patients decreased after physical activity intervention, ES(g)=0.681(95% CI: 0.380-0.982, p=0.000), specifically, physical activity improved the reduction of social disorder ES(g)=0.749(95% CI: 0.524-0.973) and repeated rigid behavior ES(g)=0.553 (95% CI: 0.079 to 1.186). Subgroup analysis showed that preschool children with ASD who were 3-6 years old, exercised for more than 12 weeks, more than 3 times a week, and exercised for more than 90 min per session had better improvement in core symptoms after participating in physical activity. The conclusion of this paper is that physical activity intervention can improve the core symptoms of ASD, especially the reduction of social disorders and repetitive behaviors. En ligne : https://doi.org/10.1002/aur.3004 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510

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

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