Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain / Yating MING ; Weixing ZHAO ; Rui FENG ; Yuanyue ZHOU ; Lijie WU ; Jia WANG ; Jinming XIAO ; Lei LI ; Xiaolong SHAN ; Jing CAO ; Xiaodong KANG ; Huafu CHEN ; Xujun DUAN in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 41 p. Titre : Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain Type de document : Texte imprimé et/ou numérique Auteurs : Yating MING, Auteur ; Weixing ZHAO, Auteur ; Rui FENG, Auteur ; Yuanyue ZHOU, Auteur ; Lijie WU, Auteur ; Jia WANG, Auteur ; Jinming XIAO, Auteur ; Lei LI, Auteur ; Xiaolong SHAN, Auteur ; Jing CAO, Auteur ; Xiaodong KANG, Auteur ; Huafu CHEN, Auteur ; Xujun DUAN, Auteur Article en page(s) : 41 p. Langues : Anglais (eng) Mots-clés : Child  Humans  Child, Preschool  Diffusion Tensor Imaging/methods  *Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  *White Matter/diagnostic imaging  Cluster Analysis Index. décimale : PER Périodiques Résumé : OBJECTIVE: There has been increasing evidence for atypical white matter (WM) microstructure in autistic people, but findings have been divergent. The development of autistic people in early childhood is clouded by the concurrently rapid brain growth, which might lead to the inconsistent findings of atypical WM microstructure in autism. Here, we aimed to reveal the developmental nature of autistic children and delineate atypical WM microstructure throughout early childhood while taking developmental considerations into account. METHOD: In this study, diffusion tensor imaging was acquired from two independent cohorts, containing 91 autistic children and 100 typically developing children (TDC), aged 4-7 years. Developmental prediction modeling using support vector regression based on TDC participants was conducted to estimate the WM atypical development index of autistic children. Then, subgroups of autistic children were identified by using the k-means clustering method and were compared to each other on the basis of demographic information, WM atypical development index, and autistic trait by using two-sample t-test. Relationship of the WM atypical development index with age was estimated by using partial correlation. Furthermore, we performed threshold-free cluster enhancement-based two-sample t-test for the group comparison in WM microstructures of each subgroup of autistic children with the rematched subsets of TDC. RESULTS: We clustered autistic children into two subgroups according to WM atypical development index. The two subgroups exhibited distinct developmental stages and age-dependent diversity. WM atypical development index was found negatively associated with age. Moreover, an inverse pattern of atypical WM microstructures and different clinical manifestations in the two stages, with subgroup 1 showing overgrowth with low level of autistic traits and subgroup 2 exhibiting delayed maturation with high level of autistic traits, were revealed. CONCLUSION: This study illustrated age-dependent heterogeneity in early childhood autistic children and delineated developmental stage-specific difference that ranged from an overgrowth pattern to a delayed pattern. Trial registration This study has been registered at ClinicalTrials.gov (Identifier: NCT02807766) on June 21, 2016 ( https://clinicaltrials.gov/ct2/show/NCT02807766 ). En ligne : https://dx.doi.org/10.1186/s13229-023-00573-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain [Texte imprimé et/ou numérique] / Yating MING, Auteur ; Weixing ZHAO, Auteur ; Rui FENG, Auteur ; Yuanyue ZHOU, Auteur ; Lijie WU, Auteur ; Jia WANG, Auteur ; Jinming XIAO, Auteur ; Lei LI, Auteur ; Xiaolong SHAN, Auteur ; Jing CAO, Auteur ; Xiaodong KANG, Auteur ; Huafu CHEN, Auteur ; Xujun DUAN, Auteur . - 41 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 41 p. Mots-clés : Child  Humans  Child, Preschool  Diffusion Tensor Imaging/methods  *Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  *White Matter/diagnostic imaging  Cluster Analysis Index. décimale : PER Périodiques Résumé : OBJECTIVE: There has been increasing evidence for atypical white matter (WM) microstructure in autistic people, but findings have been divergent. The development of autistic people in early childhood is clouded by the concurrently rapid brain growth, which might lead to the inconsistent findings of atypical WM microstructure in autism. Here, we aimed to reveal the developmental nature of autistic children and delineate atypical WM microstructure throughout early childhood while taking developmental considerations into account. METHOD: In this study, diffusion tensor imaging was acquired from two independent cohorts, containing 91 autistic children and 100 typically developing children (TDC), aged 4-7 years. Developmental prediction modeling using support vector regression based on TDC participants was conducted to estimate the WM atypical development index of autistic children. Then, subgroups of autistic children were identified by using the k-means clustering method and were compared to each other on the basis of demographic information, WM atypical development index, and autistic trait by using two-sample t-test. Relationship of the WM atypical development index with age was estimated by using partial correlation. Furthermore, we performed threshold-free cluster enhancement-based two-sample t-test for the group comparison in WM microstructures of each subgroup of autistic children with the rematched subsets of TDC. RESULTS: We clustered autistic children into two subgroups according to WM atypical development index. The two subgroups exhibited distinct developmental stages and age-dependent diversity. WM atypical development index was found negatively associated with age. Moreover, an inverse pattern of atypical WM microstructures and different clinical manifestations in the two stages, with subgroup 1 showing overgrowth with low level of autistic traits and subgroup 2 exhibiting delayed maturation with high level of autistic traits, were revealed. CONCLUSION: This study illustrated age-dependent heterogeneity in early childhood autistic children and delineated developmental stage-specific difference that ranged from an overgrowth pattern to a delayed pattern. Trial registration This study has been registered at ClinicalTrials.gov (Identifier: NCT02807766) on June 21, 2016 ( https://clinicaltrials.gov/ct2/show/NCT02807766 ). En ligne : https://dx.doi.org/10.1186/s13229-023-00573-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Maternal multivitamin supplementation is associated with symptoms in offspring with autism spectrum disorder: A multi-center study in China / Ting YANG ; Jie CHEN ; Li CHEN ; Ying DAI ; Hua WEI ; Feiyong JIA ; Lijie WU ; Yan HAO ; Ling LI ; Jie ZHANG ; Xiaoyan KE ; Mingji YI ; Qi HONG ; Jinjin CHEN ; Shuanfeng FANG ; Yichao WANG ; Qi WANG ; Chunhua JIN ; Tingyu LI in Research in Autism Spectrum Disorders, 111 (March 2024)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 111 (March 2024) . - p.102309 Titre : Maternal multivitamin supplementation is associated with symptoms in offspring with autism spectrum disorder: A multi-center study in China Type de document : Texte imprimé et/ou numérique Auteurs : Ting YANG, Auteur ; Jie CHEN, Auteur ; Li CHEN, Auteur ; Ying DAI, Auteur ; Hua WEI, Auteur ; Feiyong JIA, Auteur ; Lijie WU, Auteur ; Yan HAO, Auteur ; Ling LI, Auteur ; Jie ZHANG, Auteur ; Xiaoyan KE, Auteur ; Mingji YI, Auteur ; Qi HONG, Auteur ; Jinjin CHEN, Auteur ; Shuanfeng FANG, Auteur ; Yichao WANG, Auteur ; Qi WANG, Auteur ; Chunhua JIN, Auteur ; Tingyu LI, Auteur Article en page(s) : p.102309 Mots-clés : Vitamin D  Multivitamin  Pregnancy  Autism spectrum disorder  Symptom  Children Index. décimale : PER Périodiques Résumé : Background We aimed to investigate the relationship between maternal vitamin D and multivitamin supplementation during pregnancy and the risk of autism spectrum disorder (ASD) and symptoms in offspring with ASD. Methods This study enrolled 1321 children with ASD and 1200 typically developing (TD) children under 7 years old in China. Maternal vitamin supplements were classified for vitamin D, multivitamin (with or without vitamin D), and none (no use of vitamin D or multivitamin). For children with ASD, symptoms were assessed with the Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS) and Childhood Autism Rating Scale (CARS), and neurodevelopmental levels were evaluated with the Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016). Results Maternal vitamin D and multivitamin supplementation during pregnancy were both significantly associated with a decreased risk of ASD in offspring (P = 0.024 and P < 0.001). The ASD children born to mothers with gestational multivitamin supplementation had lower CARS [? = ?1.342 (?2.275, ?0.409), P = 0.005] and communication warning behavior [? = ?6.631 (?9.899, ?3.363), P < 0.001] scores and higher personal-social quotient [? = 3.347 (0.190, 6.504), P = 0.038] than children born to mothers without supplementation. Maternal vitamin D supplementation was not associated with symptoms and development quotients in ASD children (P > 0.05). Conclusions This study supports a protective association between maternal vitamin D and multivitamin supplementation during pregnancy and the risk of ASD in offspring. Maternal multivitamin supplementation may potentially moderate the symptoms and personal-social ability in ASD children. Further studies are needed on the role of maternal nutrition in the etiology and autistic symptoms and the underlying molecular mechanisms. En ligne : https://doi.org/10.1016/j.rasd.2023.102309 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=521 [article] Maternal multivitamin supplementation is associated with symptoms in offspring with autism spectrum disorder: A multi-center study in China [Texte imprimé et/ou numérique] / Ting YANG, Auteur ; Jie CHEN, Auteur ; Li CHEN, Auteur ; Ying DAI, Auteur ; Hua WEI, Auteur ; Feiyong JIA, Auteur ; Lijie WU, Auteur ; Yan HAO, Auteur ; Ling LI, Auteur ; Jie ZHANG, Auteur ; Xiaoyan KE, Auteur ; Mingji YI, Auteur ; Qi HONG, Auteur ; Jinjin CHEN, Auteur ; Shuanfeng FANG, Auteur ; Yichao WANG, Auteur ; Qi WANG, Auteur ; Chunhua JIN, Auteur ; Tingyu LI, Auteur . - p.102309. in Research in Autism Spectrum Disorders > 111 (March 2024) . - p.102309 Mots-clés : Vitamin D  Multivitamin  Pregnancy  Autism spectrum disorder  Symptom  Children Index. décimale : PER Périodiques Résumé : Background We aimed to investigate the relationship between maternal vitamin D and multivitamin supplementation during pregnancy and the risk of autism spectrum disorder (ASD) and symptoms in offspring with ASD. Methods This study enrolled 1321 children with ASD and 1200 typically developing (TD) children under 7 years old in China. Maternal vitamin supplements were classified for vitamin D, multivitamin (with or without vitamin D), and none (no use of vitamin D or multivitamin). For children with ASD, symptoms were assessed with the Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS) and Childhood Autism Rating Scale (CARS), and neurodevelopmental levels were evaluated with the Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016). Results Maternal vitamin D and multivitamin supplementation during pregnancy were both significantly associated with a decreased risk of ASD in offspring (P = 0.024 and P < 0.001). The ASD children born to mothers with gestational multivitamin supplementation had lower CARS [? = ?1.342 (?2.275, ?0.409), P = 0.005] and communication warning behavior [? = ?6.631 (?9.899, ?3.363), P < 0.001] scores and higher personal-social quotient [? = 3.347 (0.190, 6.504), P = 0.038] than children born to mothers without supplementation. Maternal vitamin D supplementation was not associated with symptoms and development quotients in ASD children (P > 0.05). Conclusions This study supports a protective association between maternal vitamin D and multivitamin supplementation during pregnancy and the risk of ASD in offspring. Maternal multivitamin supplementation may potentially moderate the symptoms and personal-social ability in ASD children. Further studies are needed on the role of maternal nutrition in the etiology and autistic symptoms and the underlying molecular mechanisms. En ligne : https://doi.org/10.1016/j.rasd.2023.102309 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=521

Psychometric properties of the Chinese Parent Version of the Autism Spectrum Rating Scale: Rasch analysis / Weili YAN in Autism, 26-7 (October 2022)  

Public ISBD [article]  inAutism > 26-7 (October 2022) . - p.1872-1884 Titre : Psychometric properties of the Chinese Parent Version of the Autism Spectrum Rating Scale: Rasch analysis Type de document : Texte imprimé et/ou numérique Auteurs : Weili YAN, Auteur ; Richard J. SIEGERT, Auteur ; Hao ZHOU, Auteur ; Xiaobing ZOU, Auteur ; Lijie WU, Auteur ; Xuerong LUO, Auteur ; Tingyu LI, Auteur ; Yi HUANG, Auteur ; Hongyan GUAN, Auteur ; Xiang CHEN, Auteur ; Meng MAO, Auteur ; Kun XIA, Auteur ; Lan ZHANG, Auteur ; Erzhen LI, Auteur ; Chunpei LI, Auteur ; Xudong ZHANG, Auteur ; Yuanfeng ZHOU, Auteur ; Andy SHIH, Auteur ; Eric FOMBONNE, Auteur ; Yi ZHENG, Auteur ; Jisheng HAN, Auteur ; Zhongsheng SUN, Auteur ; Yong-hui JIANG, Auteur ; Yi WANG, Auteur Article en page(s) : p.1872-1884 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  China  Humans  Parents  Psychometrics  Reproducibility of Results  Autism Spectrum Rating Scale  Rasch analysis  autism spectrum disorders  parent version  school-age children Index. décimale : PER Périodiques Résumé : The Autism Spectrum Rating Scale is a behavioural rating scale completed by parents and teachers that is useful for identifying children with an autism spectrum disorder. The development of a modified Autism Spectrum Rating Scale suitable for use in China is important for the identification of children in China with an autism spectrum disorder. In this study, we examined the Modified Chinese Autism Spectrum Rating Scale using a statistical technique known as Rasch analysis. Rasch analysis tests whether the questionnaire meets the standards for modern scientific measurement. We used Rasch analysis to examine data from 2013 children in China including 420 diagnosed with an autism spectrum disorder who had been rated by a parent or grandparent. After removing a small number of items (questions), the Modified Chinese Autism Spectrum Rating Scale met the stringent criteria for Rasch measurement. The availability of a reliable and precise tool for assessing behaviours characteristic of an autism spectrum disorder in Chinese children will improve the identification and diagnosis of autism spectrum disorder in China, thus enabling better provision of support services. En ligne : http://dx.doi.org/10.1177/13623613211004054 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484 [article] Psychometric properties of the Chinese Parent Version of the Autism Spectrum Rating Scale: Rasch analysis [Texte imprimé et/ou numérique] / Weili YAN, Auteur ; Richard J. SIEGERT, Auteur ; Hao ZHOU, Auteur ; Xiaobing ZOU, Auteur ; Lijie WU, Auteur ; Xuerong LUO, Auteur ; Tingyu LI, Auteur ; Yi HUANG, Auteur ; Hongyan GUAN, Auteur ; Xiang CHEN, Auteur ; Meng MAO, Auteur ; Kun XIA, Auteur ; Lan ZHANG, Auteur ; Erzhen LI, Auteur ; Chunpei LI, Auteur ; Xudong ZHANG, Auteur ; Yuanfeng ZHOU, Auteur ; Andy SHIH, Auteur ; Eric FOMBONNE, Auteur ; Yi ZHENG, Auteur ; Jisheng HAN, Auteur ; Zhongsheng SUN, Auteur ; Yong-hui JIANG, Auteur ; Yi WANG, Auteur . - p.1872-1884. Langues : Anglais (eng) in Autism > 26-7 (October 2022) . - p.1872-1884 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  China  Humans  Parents  Psychometrics  Reproducibility of Results  Autism Spectrum Rating Scale  Rasch analysis  autism spectrum disorders  parent version  school-age children Index. décimale : PER Périodiques Résumé : The Autism Spectrum Rating Scale is a behavioural rating scale completed by parents and teachers that is useful for identifying children with an autism spectrum disorder. The development of a modified Autism Spectrum Rating Scale suitable for use in China is important for the identification of children in China with an autism spectrum disorder. In this study, we examined the Modified Chinese Autism Spectrum Rating Scale using a statistical technique known as Rasch analysis. Rasch analysis tests whether the questionnaire meets the standards for modern scientific measurement. We used Rasch analysis to examine data from 2013 children in China including 420 diagnosed with an autism spectrum disorder who had been rated by a parent or grandparent. After removing a small number of items (questions), the Modified Chinese Autism Spectrum Rating Scale met the stringent criteria for Rasch measurement. The availability of a reliable and precise tool for assessing behaviours characteristic of an autism spectrum disorder in Chinese children will improve the identification and diagnosis of autism spectrum disorder in China, thus enabling better provision of support services. En ligne : http://dx.doi.org/10.1177/13623613211004054 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484

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