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Auteur Xianna Wang |
Documents disponibles écrits par cet auteur (2)



Abnormal gray matter volume and functional connectivity patterns in social cognition-related brain regions of young children with autism spectrum disorder / Chen BAI in Autism Research, 16-6 (June 2023)
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[article]
Titre : Abnormal gray matter volume and functional connectivity patterns in social cognition-related brain regions of young children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Chen BAI, Auteur ; Yunlei Wang, Auteur ; Yan ZHANG, Auteur ; Xianna Wang, Auteur ; Zhenbo Chen, Auteur ; Weiyong Yu, Auteur ; Haojie Zhang, Auteur ; Xingzhu Li, Auteur ; Kaixuan Zhu, Auteur ; Yuxiang Wang, Auteur ; Tong Zhang, Auteur Article en page(s) : p.1124-1137 Langues : Anglais (eng) Mots-clés : autism spectrum disorder functional connectivity gray matter volume support vector machine Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is associated with abnormal brain imaging findings, but descriptions thereof are inconsistent. The aim of the present study was to investigate brain abnormalities in young children with ASD using a combination of structural and functional brain magnetic resonance imaging (MRI). Structural and resting-state functional MRI was performed in 67 children with ASD (aged 2?7?years) and 39 age-matched typically developing (TD) controls. Voxel-based morphometry was used to evaluate differences in brain structure between groups. Topologic parameters of the functional brain network were compared by graph theoretic analysis and network connectomes were compared with network-based statistics. A support vector machine (SVM) was used to discriminate between ASD and TD groups. Results demonstrated young children with ASD had increased gray matter volumes (GMVs) in the right medial superior frontal gyrus and left fusiform gyrus compared with the TD group. The ASD group had altered subnetwork connectivity in frontal and temporal lobes and other social cognition-related brain regions. Functional connectivity in the left superior temporal gyrus and left temporal pole of the middle temporal gyrus was positively correlated with adaptability and language developmental quotient (DQ) in children with ASD. The combination of the brain structural and functional features had 86.2% accuracy in discriminating between ASD and TD. The present study shows that young children with ASD have altered GMVs and functional networks in social cognition-related brain regions, which are potential neuroimaging biomarkers for ASD. En ligne : https://doi.org/10.1002/aur.2936 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=507
in Autism Research > 16-6 (June 2023) . - p.1124-1137[article] Abnormal gray matter volume and functional connectivity patterns in social cognition-related brain regions of young children with autism spectrum disorder [Texte imprimé et/ou numérique] / Chen BAI, Auteur ; Yunlei Wang, Auteur ; Yan ZHANG, Auteur ; Xianna Wang, Auteur ; Zhenbo Chen, Auteur ; Weiyong Yu, Auteur ; Haojie Zhang, Auteur ; Xingzhu Li, Auteur ; Kaixuan Zhu, Auteur ; Yuxiang Wang, Auteur ; Tong Zhang, Auteur . - p.1124-1137.
Langues : Anglais (eng)
in Autism Research > 16-6 (June 2023) . - p.1124-1137
Mots-clés : autism spectrum disorder functional connectivity gray matter volume support vector machine Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is associated with abnormal brain imaging findings, but descriptions thereof are inconsistent. The aim of the present study was to investigate brain abnormalities in young children with ASD using a combination of structural and functional brain magnetic resonance imaging (MRI). Structural and resting-state functional MRI was performed in 67 children with ASD (aged 2?7?years) and 39 age-matched typically developing (TD) controls. Voxel-based morphometry was used to evaluate differences in brain structure between groups. Topologic parameters of the functional brain network were compared by graph theoretic analysis and network connectomes were compared with network-based statistics. A support vector machine (SVM) was used to discriminate between ASD and TD groups. Results demonstrated young children with ASD had increased gray matter volumes (GMVs) in the right medial superior frontal gyrus and left fusiform gyrus compared with the TD group. The ASD group had altered subnetwork connectivity in frontal and temporal lobes and other social cognition-related brain regions. Functional connectivity in the left superior temporal gyrus and left temporal pole of the middle temporal gyrus was positively correlated with adaptability and language developmental quotient (DQ) in children with ASD. The combination of the brain structural and functional features had 86.2% accuracy in discriminating between ASD and TD. The present study shows that young children with ASD have altered GMVs and functional networks in social cognition-related brain regions, which are potential neuroimaging biomarkers for ASD. En ligne : https://doi.org/10.1002/aur.2936 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=507 Association of Thyroid Hormone and Insulin-Like Growth Factor-1 Levels With Autism Spectrum Disorders: A Systematic Review and Meta-Analysis / Xingxing LIAO ; Kaiyue HAN ; Maoyuan NIU ; Jiarou CHEN ; Xianna Wang ; Jianjun LIU ; Yan ZHANG ; Hao Zhang in Autism Research, 18-7 (July 2025)
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[article]
Titre : Association of Thyroid Hormone and Insulin-Like Growth Factor-1 Levels With Autism Spectrum Disorders: A Systematic Review and Meta-Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Xingxing LIAO, Auteur ; Kaiyue HAN, Auteur ; Maoyuan NIU, Auteur ; Jiarou CHEN, Auteur ; Xianna Wang, Auteur ; Jianjun LIU, Auteur ; Yan ZHANG, Auteur ; Hao Zhang, Auteur Article en page(s) : p.1497-1512 Langues : Anglais (eng) Mots-clés : autism spectrum disorder insulin-like growth factor-1 meta-analysis systematic review thyroid hormone Index. décimale : PER Périodiques Résumé : ABSTRACT The action of the thyroid hormones and insulin-like growth factor 1 (IGF-1) is interdependent. The levels of thyroid hormone and IGF-1 were reported to be altered in individuals with autism spectrum disorder (ASD), but the results were controversial. This study aims to compare levels of thyroxine, triiodothyronine, thyroid stimulating hormone, and IGF-1 between the ASD group and neurotypical controls. PubMed, Web of Science, Cochrane, and Embase databases were searched for eligible observational studies. We calculated pooled standardized mean difference (SMD) with 95% confidence intervals (CIs) of our data using a random or fixed effect model. The search strategy provided a total of 1710 articles, of which 16 articles were quantitatively analyzed. The total number of included participants was 2399 (1285 cases and 1114 controls). The meta-analysis revealed no significantly changed blood levels of thyroxine, free triiodothyronine, free thyroxine, and IGF-1 of subjects with ASD compared to non-autistic controls. The blood TSH levels were significantly lower in ASD subjects than in controls (n?=?859, Hedges' g?=??1.18, 95% CI: ?2.17 to ?0.20, p?=?0.02). Subgroup-analysis results showed that blood free triiodothyronine (n?=?153, Hedges' g?=??0.74, 95% CI: ?1.08 to ?0.40, p?0.0001, I2?=?2%), free thyroxine (n?=?153, Hedges' g?=??0.72, 95% CI: ?1.31 to ?0.14, p?=?0.02, I2?=?66%), and IGF-1 (n?=?397; Hedges' g?=??0.92; 95% CI: ?1.30 to ?0.55, p?0.00001, I2?=?63%) levels were significantly reduced in subjects with severe ASD symptoms. Individuals with severe ASD may experience a dysfunction of the hypothalamic?pituitary?thyroid axis, and further studies are warranted to determine the correlation between thyroid hormone and IGF-1 levels and disease severity. Trial Registration: ClinicalTrials.gov identifiers: NCT01970345 En ligne : https://doi.org/10.1002/aur.70052 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565
in Autism Research > 18-7 (July 2025) . - p.1497-1512[article] Association of Thyroid Hormone and Insulin-Like Growth Factor-1 Levels With Autism Spectrum Disorders: A Systematic Review and Meta-Analysis [Texte imprimé et/ou numérique] / Xingxing LIAO, Auteur ; Kaiyue HAN, Auteur ; Maoyuan NIU, Auteur ; Jiarou CHEN, Auteur ; Xianna Wang, Auteur ; Jianjun LIU, Auteur ; Yan ZHANG, Auteur ; Hao Zhang, Auteur . - p.1497-1512.
Langues : Anglais (eng)
in Autism Research > 18-7 (July 2025) . - p.1497-1512
Mots-clés : autism spectrum disorder insulin-like growth factor-1 meta-analysis systematic review thyroid hormone Index. décimale : PER Périodiques Résumé : ABSTRACT The action of the thyroid hormones and insulin-like growth factor 1 (IGF-1) is interdependent. The levels of thyroid hormone and IGF-1 were reported to be altered in individuals with autism spectrum disorder (ASD), but the results were controversial. This study aims to compare levels of thyroxine, triiodothyronine, thyroid stimulating hormone, and IGF-1 between the ASD group and neurotypical controls. PubMed, Web of Science, Cochrane, and Embase databases were searched for eligible observational studies. We calculated pooled standardized mean difference (SMD) with 95% confidence intervals (CIs) of our data using a random or fixed effect model. The search strategy provided a total of 1710 articles, of which 16 articles were quantitatively analyzed. The total number of included participants was 2399 (1285 cases and 1114 controls). The meta-analysis revealed no significantly changed blood levels of thyroxine, free triiodothyronine, free thyroxine, and IGF-1 of subjects with ASD compared to non-autistic controls. The blood TSH levels were significantly lower in ASD subjects than in controls (n?=?859, Hedges' g?=??1.18, 95% CI: ?2.17 to ?0.20, p?=?0.02). Subgroup-analysis results showed that blood free triiodothyronine (n?=?153, Hedges' g?=??0.74, 95% CI: ?1.08 to ?0.40, p?0.0001, I2?=?2%), free thyroxine (n?=?153, Hedges' g?=??0.72, 95% CI: ?1.31 to ?0.14, p?=?0.02, I2?=?66%), and IGF-1 (n?=?397; Hedges' g?=??0.92; 95% CI: ?1.30 to ?0.55, p?0.00001, I2?=?63%) levels were significantly reduced in subjects with severe ASD symptoms. Individuals with severe ASD may experience a dysfunction of the hypothalamic?pituitary?thyroid axis, and further studies are warranted to determine the correlation between thyroid hormone and IGF-1 levels and disease severity. Trial Registration: ClinicalTrials.gov identifiers: NCT01970345 En ligne : https://doi.org/10.1002/aur.70052 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565