Increased Risk of Atopic Diseases in the Siblings of Patients with Autism Spectrum Disorder: A Nationwide Population-Based Cohort Study / Y. X. DAI in Journal of Autism and Developmental Disorders, 49-11 (November 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-11 (November 2019) . - p.4626-4633 Titre : Increased Risk of Atopic Diseases in the Siblings of Patients with Autism Spectrum Disorder: A Nationwide Population-Based Cohort Study Type de document : texte imprimé Auteurs : Y. X. DAI, Auteur ; Y. H. TAI, Auteur ; Y. T. CHANG, Auteur ; T. J. CHEN, Auteur ; Meng-Hsiang Chen, Auteur Article en page(s) : p.4626-4633 Langues : Anglais (eng) Mots-clés : Atopy  Autism spectrum disorder  Cohort study  Epidemiology  Sibling  Taiwan's National Health Insurance Research Database Index. décimale : PER Périodiques Résumé : Several studies have shown a strong association between atopic diseases and autism spectrum disorder (ASD). However, the risk of atopic diseases in individuals having ASD-affected siblings has never been investigated. This nationwide population-based cohort study included 2762 individuals with ASD-affected siblings and 11,048 controls. Diagnoses of atopic diseases, including asthma, atopic dermatitis, allergic rhinitis, and allergic conjunctivitis, were ascertained from 1996 or the birth data to the end of 2011. Individuals with ASD-affected siblings had a higher risk for asthma, atopic dermatitis, allergic rhinitis, allergic conjunctivitis, and multiple atopic diseases compared with controls. In conclusion, individuals with ASD-affected siblings were more likely than were the controls to develop atopic diseases, suggesting shared familial mechanisms underlying the two conditions. En ligne : http://dx.doi.org/10.1007/s10803-019-04184-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408 [article] Increased Risk of Atopic Diseases in the Siblings of Patients with Autism Spectrum Disorder: A Nationwide Population-Based Cohort Study [texte imprimé] / Y. X. DAI, Auteur ; Y. H. TAI, Auteur ; Y. T. CHANG, Auteur ; T. J. CHEN, Auteur ; Meng-Hsiang Chen, Auteur . - p.4626-4633. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-11 (November 2019) . - p.4626-4633 Mots-clés : Atopy  Autism spectrum disorder  Cohort study  Epidemiology  Sibling  Taiwan's National Health Insurance Research Database Index. décimale : PER Périodiques Résumé : Several studies have shown a strong association between atopic diseases and autism spectrum disorder (ASD). However, the risk of atopic diseases in individuals having ASD-affected siblings has never been investigated. This nationwide population-based cohort study included 2762 individuals with ASD-affected siblings and 11,048 controls. Diagnoses of atopic diseases, including asthma, atopic dermatitis, allergic rhinitis, and allergic conjunctivitis, were ascertained from 1996 or the birth data to the end of 2011. Individuals with ASD-affected siblings had a higher risk for asthma, atopic dermatitis, allergic rhinitis, allergic conjunctivitis, and multiple atopic diseases compared with controls. In conclusion, individuals with ASD-affected siblings were more likely than were the controls to develop atopic diseases, suggesting shared familial mechanisms underlying the two conditions. En ligne : http://dx.doi.org/10.1007/s10803-019-04184-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=408

Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism / Guannan Li ; Meng-Hsiang Chen ; Gang LI ; Di Wu ; Chunfeng Lian ; Quansen Sun ; R. Jarrett Rushmore ; Li WANG in Journal of Autism and Developmental Disorders, 53-6 (June 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-6 (June 2023) . - p.2475-2489 Titre : Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism : Journal of Autism and Developmental Disorders Type de document : texte imprimé Auteurs : Guannan Li, Auteur ; Meng-Hsiang Chen, Auteur ; Gang LI, Auteur ; Di Wu, Auteur ; Chunfeng Lian, Auteur ; Quansen Sun, Auteur ; R. Jarrett Rushmore, Auteur ; Li WANG, Auteur Article en page(s) : p.2475-2489 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Previous studies have demonstrated abnormal brain overgrowth in children with autism spectrum disorder (ASD), but the development of specific brain regions, such as the amygdala and hippocampal subfields in infants, is incompletely documented. To address this issue, we performed the first MRI study of amygdala and hippocampal subfields in infants from 6 to 24 months of age using a longitudinal dataset. A novel deep learning approach, Dilated-Dense U-Net, was proposed to address the challenge of low tissue contrast and small structural size of these subfields. We performed a volume-based analysis on the segmentation results. Our results show that infants who were later diagnosed with ASD had larger left and right volumes of amygdala and hippocampal subfields than typically developing controls. En ligne : https://doi.org/10.1007/s10803-022-05535-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=506 [article] Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism : Journal of Autism and Developmental Disorders [texte imprimé] / Guannan Li, Auteur ; Meng-Hsiang Chen, Auteur ; Gang LI, Auteur ; Di Wu, Auteur ; Chunfeng Lian, Auteur ; Quansen Sun, Auteur ; R. Jarrett Rushmore, Auteur ; Li WANG, Auteur . - p.2475-2489. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-6 (June 2023) . - p.2475-2489 Index. décimale : PER Périodiques Résumé : Previous studies have demonstrated abnormal brain overgrowth in children with autism spectrum disorder (ASD), but the development of specific brain regions, such as the amygdala and hippocampal subfields in infants, is incompletely documented. To address this issue, we performed the first MRI study of amygdala and hippocampal subfields in infants from 6 to 24 months of age using a longitudinal dataset. A novel deep learning approach, Dilated-Dense U-Net, was proposed to address the challenge of low tissue contrast and small structural size of these subfields. We performed a volume-based analysis on the segmentation results. Our results show that infants who were later diagnosed with ASD had larger left and right volumes of amygdala and hippocampal subfields than typically developing controls. En ligne : https://doi.org/10.1007/s10803-022-05535-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=506

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