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)  

Public ISBD [article]  inAutism Research > 16-6 (June 2023) . - p.1124-1137 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 [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

Adaptation and validation of the Parental Behaviour Scale for Autism Spectrum Disorder in Chinese parents / Chang ZHANG in Research in Autism Spectrum Disorders, 98 (October 2022)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 98 (October 2022) . - 102048 Titre : Adaptation and validation of the Parental Behaviour Scale for Autism Spectrum Disorder in Chinese parents Type de document : Texte imprimé et/ou numérique Auteurs : Chang ZHANG, Auteur ; Ting ZHOU, Auteur ; Chunli YI, Auteur ; Songhuai LIU, Auteur ; Ye HONG, Auteur ; Yan ZHANG, Auteur Article en page(s) : 102048 Langues : Anglais (eng) Mots-clés : Chinese version of the Parental Behaviour Scale for Autism Spectrum Disorder  Reliability  Validity Index. décimale : PER Périodiques Résumé : Background The present study aimed to adapt and examine the psychometric properties of the Parental Behaviour Scale - ASD (PBS-A) in Chinese parents of young children with ASD. Methods The translated version of the PBS-A was administered to 416 parents of young children with ASD (sample 1) to examine the construct validity and internal consistencies. One hundred and five of them (sample 2) were followed-up a month later to examine the test-retest reliability. The Alabama Parenting Questionnaire (APQ), the Strength and Difficulties Questionnaire (SDQ) and the Autism Parenting Stress Inventory (APSI) were administered along with the Chinese version of the PBS-A (C-PBS-A) in Sample 3 (n = 110) to examine the criterion validity of the scale. Results The original structure was not replicated, and a new seven-factor structure containing 41 items was determined using exploratory factor analysis. There were four dimensions measuring shared parenting behaviors with typically developing children and three dimensions measuring ASD-specific parenting behaviors. The internal consistencies and test-retest reliabilities of the C-PBS-A were acceptable. The positive correlations among subscales of the C-PBS-A and similar dimensions in the APQ supported good convergent validity. In support of predictive validity, supportive dimensions in the C-PBS-A were negatively correlated with children’s behavioral problems and parenting stress, while negative control dimensions were positively correlated with these two variables. Conclusion The Chinese version of the Parental Behaviour Scale (ASD) has good validity and reliability. It can be used to measure the parenting behaviors among Chinese parents of young children with ASD in future research. En ligne : https://doi.org/10.1016/j.rasd.2022.102048 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 [article] Adaptation and validation of the Parental Behaviour Scale for Autism Spectrum Disorder in Chinese parents [Texte imprimé et/ou numérique] / Chang ZHANG, Auteur ; Ting ZHOU, Auteur ; Chunli YI, Auteur ; Songhuai LIU, Auteur ; Ye HONG, Auteur ; Yan ZHANG, Auteur . - 102048. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 98 (October 2022) . - 102048 Mots-clés : Chinese version of the Parental Behaviour Scale for Autism Spectrum Disorder  Reliability  Validity Index. décimale : PER Périodiques Résumé : Background The present study aimed to adapt and examine the psychometric properties of the Parental Behaviour Scale - ASD (PBS-A) in Chinese parents of young children with ASD. Methods The translated version of the PBS-A was administered to 416 parents of young children with ASD (sample 1) to examine the construct validity and internal consistencies. One hundred and five of them (sample 2) were followed-up a month later to examine the test-retest reliability. The Alabama Parenting Questionnaire (APQ), the Strength and Difficulties Questionnaire (SDQ) and the Autism Parenting Stress Inventory (APSI) were administered along with the Chinese version of the PBS-A (C-PBS-A) in Sample 3 (n = 110) to examine the criterion validity of the scale. Results The original structure was not replicated, and a new seven-factor structure containing 41 items was determined using exploratory factor analysis. There were four dimensions measuring shared parenting behaviors with typically developing children and three dimensions measuring ASD-specific parenting behaviors. The internal consistencies and test-retest reliabilities of the C-PBS-A were acceptable. The positive correlations among subscales of the C-PBS-A and similar dimensions in the APQ supported good convergent validity. In support of predictive validity, supportive dimensions in the C-PBS-A were negatively correlated with children’s behavioral problems and parenting stress, while negative control dimensions were positively correlated with these two variables. Conclusion The Chinese version of the Parental Behaviour Scale (ASD) has good validity and reliability. It can be used to measure the parenting behaviors among Chinese parents of young children with ASD in future research. En ligne : https://doi.org/10.1016/j.rasd.2022.102048 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490

Shared atypical default mode and salience network functional connectivity between autism and schizophrenia / Heng CHEN in Autism Research, 10-11 (November 2017)  

Public ISBD [article]  inAutism Research > 10-11 (November 2017) . - p.1776-1786 Titre : Shared atypical default mode and salience network functional connectivity between autism and schizophrenia Type de document : Texte imprimé et/ou numérique Auteurs : Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Xujun DUAN, Auteur ; Junjie ZHENG, Auteur ; Zhiliang LONG, Auteur ; Youxue ZHANG, Auteur ; Xiaonan GUO, Auteur ; Yan ZHANG, Auteur ; Jingping ZHAO, Auteur ; Huafu CHEN, Auteur Article en page(s) : p.1776-1786 Langues : Anglais (eng) Mots-clés : schizophrenia  autism spectrum disorder  functional connectivity  multivariate pattern analysis  default mode network  salience network Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6?±?1.8 years old) and 31 healthy controls (15.4?±?1.6 years old). Data from 22 participants with ASD (13.1?±?3.1 years old) and 21 healthy controls (12.9?±?2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy?=?83%; ASD dataset: accuracy?=?80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p?=?0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776–1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1002/aur.1834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322 [article] Shared atypical default mode and salience network functional connectivity between autism and schizophrenia [Texte imprimé et/ou numérique] / Heng CHEN, Auteur ; Lucina Q. UDDIN, Auteur ; Xujun DUAN, Auteur ; Junjie ZHENG, Auteur ; Zhiliang LONG, Auteur ; Youxue ZHANG, Auteur ; Xiaonan GUO, Auteur ; Yan ZHANG, Auteur ; Jingping ZHAO, Auteur ; Huafu CHEN, Auteur . - p.1776-1786. Langues : Anglais (eng) in Autism Research > 10-11 (November 2017) . - p.1776-1786 Mots-clés : schizophrenia  autism spectrum disorder  functional connectivity  multivariate pattern analysis  default mode network  salience network Index. décimale : PER Périodiques Résumé : Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6?±?1.8 years old) and 31 healthy controls (15.4?±?1.6 years old). Data from 22 participants with ASD (13.1?±?3.1 years old) and 21 healthy controls (12.9?±?2.9 years old) were downloaded from the Autism Brain Imaging Data Exchange. Resting-state functional networks were constructed using predefined regions of interest. Multivariate pattern analysis combined with multi-task regression feature selection methods were conducted in two datasets separately. Classification between individuals with disorders and controls was achieved with high accuracy (schizophrenia dataset: accuracy?=?83%; ASD dataset: accuracy?=?80%). Shared atypical brain connections contributing to classification were mostly present in the default mode network (DMN) and salience network (SN). These functional connections were further related to severity of social deficits in ASD (p?=?0.002). Distinct atypical connections were also more related to the DMN and SN, but showed different atypical connectivity patterns between the two disorders. These results suggest some common neural mechanisms contributing to schizophrenia and ASD, and may aid in understanding the pathology of these two neurodevelopmental disorders. Autism Res 2017, 10: 1776–1786. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia are two common neurodevelopmental disorders which share several genetic and behavioral features. The present study identified common neural mechanisms contributing to ASD and schizophrenia using resting-state functional MRI data. The results may help to understand the pathology of these two neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1002/aur.1834 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=322

---

1 (1 - 3 / 3)