Multivariate associations between behavioural dimensions and white matter across children and adolescents with and without attention-deficit/hyperactivity disorder / Xuan BU in Journal of Child Psychology and Psychiatry, 64-2 (February 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-2 (February 2023) . - p.244-253 Titre : Multivariate associations between behavioural dimensions and white matter across children and adolescents with and without attention-deficit/hyperactivity disorder Type de document : Texte imprimé et/ou numérique Auteurs : Xuan BU, Auteur ; Yingxue GAO, Auteur ; Kaili LIANG, Auteur ; Weijie BAO, Auteur ; Ying CHEN, Auteur ; Lanting GUO, Auteur ; Qiyong GONG, Auteur ; Hanzhang LU, Auteur ; Brian CAFFO, Auteur ; Susumu MORI, Auteur ; Xiaoqi HUANG, Auteur Article en page(s) : p.244-253 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Attention deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental disorder. Integrity of white matter microstructure plays a key role in the neural mechanism of ADHD presentations. However, the relationships between specific behavioural dimensions and white matter microstructure are less well known. This study aimed to identify associations between white matter and a broad set of clinical features across children and adolescent with and without ADHD using a data-driven multivariate approach. Method We recruited a total of 130 children (62 controls and 68 ADHD) and employed regularized generalized canonical correlation analysis to characterize the associations between white matter and a comprehensive set of clinical measures covering three domains, including symptom, cognition and behaviour. We further applied linear discriminant analysis to integrate these associations to explore potential developmental effects. Results We delineated two brain-behaviour dimensional associations in each domain resulting a total of six multivariate patterns of white matter microstructural alterations linked to hyperactivity-impulsivity and mild affected; executive functions and working memory; externalizing behaviour and social withdrawal, respectively. Apart from executive function and externalizing behaviour sharing similar white matter patterns, all other dimensions linked to a specific pattern of white matter microstructural alterations. The multivariate dimensional association scores showed an overall increase and normalization with age in ADHD group while remained stable in controls. Conclusions We found multivariate neurobehavioral associations exist across ADHD and controls, which suggested that multiple white matter patterns underlie ADHD heterogeneity and provided neural bases for more precise diagnosis and individualized treatment. En ligne : https://doi.org/10.1111/jcpp.13689 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492 [article] Multivariate associations between behavioural dimensions and white matter across children and adolescents with and without attention-deficit/hyperactivity disorder [Texte imprimé et/ou numérique] / Xuan BU, Auteur ; Yingxue GAO, Auteur ; Kaili LIANG, Auteur ; Weijie BAO, Auteur ; Ying CHEN, Auteur ; Lanting GUO, Auteur ; Qiyong GONG, Auteur ; Hanzhang LU, Auteur ; Brian CAFFO, Auteur ; Susumu MORI, Auteur ; Xiaoqi HUANG, Auteur . - p.244-253. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-2 (February 2023) . - p.244-253 Index. décimale : PER Périodiques Résumé : Background Attention deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental disorder. Integrity of white matter microstructure plays a key role in the neural mechanism of ADHD presentations. However, the relationships between specific behavioural dimensions and white matter microstructure are less well known. This study aimed to identify associations between white matter and a broad set of clinical features across children and adolescent with and without ADHD using a data-driven multivariate approach. Method We recruited a total of 130 children (62 controls and 68 ADHD) and employed regularized generalized canonical correlation analysis to characterize the associations between white matter and a comprehensive set of clinical measures covering three domains, including symptom, cognition and behaviour. We further applied linear discriminant analysis to integrate these associations to explore potential developmental effects. Results We delineated two brain-behaviour dimensional associations in each domain resulting a total of six multivariate patterns of white matter microstructural alterations linked to hyperactivity-impulsivity and mild affected; executive functions and working memory; externalizing behaviour and social withdrawal, respectively. Apart from executive function and externalizing behaviour sharing similar white matter patterns, all other dimensions linked to a specific pattern of white matter microstructural alterations. The multivariate dimensional association scores showed an overall increase and normalization with age in ADHD group while remained stable in controls. Conclusions We found multivariate neurobehavioral associations exist across ADHD and controls, which suggested that multiple white matter patterns underlie ADHD heterogeneity and provided neural bases for more precise diagnosis and individualized treatment. En ligne : https://doi.org/10.1111/jcpp.13689 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492

Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity / Cuicui LI in Autism Research, 16-9 (September 2023)  

Public ISBD [article]  inAutism Research > 16-9 (September 2023) . - p.1693-1706 Titre : Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity Type de document : Texte imprimé et/ou numérique Auteurs : Cuicui LI, Auteur ; Tong LI, Auteur ; Ying CHEN, Auteur ; Chunling ZHANG, Auteur ; Mingmin NING, Auteur ; Rui QIN, Auteur ; Lin LI, Auteur ; Ximing WANG, Auteur ; Linglong CHEN, Auteur Article en page(s) : p.1693-1706 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) has a pronounced male predominance, but the underlying neurobiological basis of this sex bias remains unclear. Gender incoherence (GI) theory suggests that ASD is more neurally androgynous than same-sex controls. Given its central role, altered structures and functions, and sex-dependent network differences in ASD, the triple network model, including the central executive network (CEN), default mode network (DMN), and salience network (SN), has emerged as a candidate for characterizing this sex difference. Here, we measured the sex-related effective connectivity (EC) differences within and between these three networks in 72 children with ASD (36 females, 8-14?years) and 72 typically developing controls (TCs) (36 females, 8-14?years) from 5 sites of the Autism Brain Imaging Data Exchange repositories using a 2?*?2 analysis of covariance factorial design. We also assessed brain-behavior relationships and the effects of age on EC. We found significant diagnosis-by-sex interactions on EC: females with ASD had significantly higher EC than their male counterparts within the DMN and between the SN and CEN. The interaction pattern supported the GI theory by showing that the higher EC observed in females with ASD reflected a shift towards the higher level of EC displayed in male TCs (neural masculinization), and the lower EC seen in males with ASD reflected a shift towards the lower level of EC displayed in female TCs (neural feminization). We also found significant brain-behavior correlations and significant effects of age on EC. En ligne : https://doi.org/10.1002/aur.2991 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510 [article] Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity [Texte imprimé et/ou numérique] / Cuicui LI, Auteur ; Tong LI, Auteur ; Ying CHEN, Auteur ; Chunling ZHANG, Auteur ; Mingmin NING, Auteur ; Rui QIN, Auteur ; Lin LI, Auteur ; Ximing WANG, Auteur ; Linglong CHEN, Auteur . - p.1693-1706. Langues : Anglais (eng) in Autism Research > 16-9 (September 2023) . - p.1693-1706 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) has a pronounced male predominance, but the underlying neurobiological basis of this sex bias remains unclear. Gender incoherence (GI) theory suggests that ASD is more neurally androgynous than same-sex controls. Given its central role, altered structures and functions, and sex-dependent network differences in ASD, the triple network model, including the central executive network (CEN), default mode network (DMN), and salience network (SN), has emerged as a candidate for characterizing this sex difference. Here, we measured the sex-related effective connectivity (EC) differences within and between these three networks in 72 children with ASD (36 females, 8-14?years) and 72 typically developing controls (TCs) (36 females, 8-14?years) from 5 sites of the Autism Brain Imaging Data Exchange repositories using a 2?*?2 analysis of covariance factorial design. We also assessed brain-behavior relationships and the effects of age on EC. We found significant diagnosis-by-sex interactions on EC: females with ASD had significantly higher EC than their male counterparts within the DMN and between the SN and CEN. The interaction pattern supported the GI theory by showing that the higher EC observed in females with ASD reflected a shift towards the higher level of EC displayed in male TCs (neural masculinization), and the lower EC seen in males with ASD reflected a shift towards the lower level of EC displayed in female TCs (neural feminization). We also found significant brain-behavior correlations and significant effects of age on EC. En ligne : https://doi.org/10.1002/aur.2991 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510

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