Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task-based fMRI connectome study / Kun QIN ; Luis R. PATINO ; Maxwell J. TALLMAN ; Du LEI ; Lu LU ; Wenbin LI ; Thomas J. BLOM ; Kaitlyn M. BRUNS ; Jeffrey A. WELGE ; Jeffrey R. STRAWN ; Qiyong GONG ; John A. SWEENEY ; Manpreet K. SINGH ; Melissa P. DELBELLO in Journal of Child Psychology and Psychiatry, 65-8 (August 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-8 (August 2024) . - p.1072-1086 Titre : Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task-based fMRI connectome study Type de document : Texte imprimé et/ou numérique Auteurs : Kun QIN, Auteur ; Luis R. PATINO, Auteur ; Maxwell J. TALLMAN, Auteur ; Du LEI, Auteur ; Lu LU, Auteur ; Wenbin LI, Auteur ; Thomas J. BLOM, Auteur ; Kaitlyn M. BRUNS, Auteur ; Jeffrey A. WELGE, Auteur ; Jeffrey R. STRAWN, Auteur ; Qiyong GONG, Auteur ; John A. SWEENEY, Auteur ; Manpreet K. SINGH, Auteur ; Melissa P. DELBELLO, Auteur Article en page(s) : p.1072-1086 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Youth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD. Methods Depressed and/or anxious youth (n = 119, age = 14.9?+?1.6?years) with a family history of BD but no prior antidepressant exposure and typically developing controls (n = 57, age = 14.8?+?1.7?years) received functional magnetic resonance imaging (fMRI) during an emotional continuous performance task. A generalized psychophysiological interaction (gPPI) analysis was performed to compare their brain connectome patterns, followed by machine learning of topological metrics. Results High-risk youth showed weaker connectivity patterns that were mainly located in the default mode network (DMN) (network weight = 50.1%) relative to controls, and connectivity patterns derived from the visual network (VN) constituted the largest proportion of aberrant stronger pairs (network weight = 54.9%). Global local efficiency (Elocal, p = .022) and clustering coefficient (Cp, p = .029) and nodal metrics of the right superior frontal gyrus (SFG) (Elocal: p < .001; Cp: p = .001) in the high-risk group were significantly higher than those in healthy subjects, and similar patterns were also found in the left insula (degree: p = .004; betweenness: p = .005; age-by-group interaction, p = .038) and right hippocampus (degree: p = .003; betweenness: p = .003). The case-control classifier achieved a cross-validation accuracy of 78.4%. Conclusions Our findings of abnormal connectome organization in the DMN and VN may advance mechanistic understanding of risk for BD. Neuroimaging biomarkers of increased network segregation in the SFG and altered topological centrality in the insula and hippocampus in broader limbic systems may be used to target interventions tailored to mitigate the underlying risk of brain abnormalities in these at-risk youth. En ligne : https://doi.org/10.1111/jcpp.13946 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=532 [article] Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task-based fMRI connectome study [Texte imprimé et/ou numérique] / Kun QIN, Auteur ; Luis R. PATINO, Auteur ; Maxwell J. TALLMAN, Auteur ; Du LEI, Auteur ; Lu LU, Auteur ; Wenbin LI, Auteur ; Thomas J. BLOM, Auteur ; Kaitlyn M. BRUNS, Auteur ; Jeffrey A. WELGE, Auteur ; Jeffrey R. STRAWN, Auteur ; Qiyong GONG, Auteur ; John A. SWEENEY, Auteur ; Manpreet K. SINGH, Auteur ; Melissa P. DELBELLO, Auteur . - p.1072-1086. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-8 (August 2024) . - p.1072-1086 Index. décimale : PER Périodiques Résumé : Background Youth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD. Methods Depressed and/or anxious youth (n = 119, age = 14.9?+?1.6?years) with a family history of BD but no prior antidepressant exposure and typically developing controls (n = 57, age = 14.8?+?1.7?years) received functional magnetic resonance imaging (fMRI) during an emotional continuous performance task. A generalized psychophysiological interaction (gPPI) analysis was performed to compare their brain connectome patterns, followed by machine learning of topological metrics. Results High-risk youth showed weaker connectivity patterns that were mainly located in the default mode network (DMN) (network weight = 50.1%) relative to controls, and connectivity patterns derived from the visual network (VN) constituted the largest proportion of aberrant stronger pairs (network weight = 54.9%). Global local efficiency (Elocal, p = .022) and clustering coefficient (Cp, p = .029) and nodal metrics of the right superior frontal gyrus (SFG) (Elocal: p < .001; Cp: p = .001) in the high-risk group were significantly higher than those in healthy subjects, and similar patterns were also found in the left insula (degree: p = .004; betweenness: p = .005; age-by-group interaction, p = .038) and right hippocampus (degree: p = .003; betweenness: p = .003). The case-control classifier achieved a cross-validation accuracy of 78.4%. Conclusions Our findings of abnormal connectome organization in the DMN and VN may advance mechanistic understanding of risk for BD. Neuroimaging biomarkers of increased network segregation in the SFG and altered topological centrality in the insula and hippocampus in broader limbic systems may be used to target interventions tailored to mitigate the underlying risk of brain abnormalities in these at-risk youth. En ligne : https://doi.org/10.1111/jcpp.13946 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=532

Brain structure and functional connectivity linking childhood cumulative trauma to COVID-19 vicarious traumatization / Xiqin LIU in Journal of Child Psychology and Psychiatry, 65-11 (November 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1407-1418 Titre : Brain structure and functional connectivity linking childhood cumulative trauma to COVID-19 vicarious traumatization Type de document : Texte imprimé et/ou numérique Auteurs : Xiqin LIU, Auteur ; Yajun ZHAO, Auteur ; Jingguang LI, Auteur ; Xueling SUO, Auteur ; Qiyong GONG, Auteur ; Song WANG, Auteur Article en page(s) : p.1407-1418 Langues : Anglais (eng) Mots-clés : Childhood cumulative trauma  vicarious traumatization  COVID-19  gray matter volume  resting-state functional connectivity Index. décimale : PER Périodiques Résumé : Background The COVID-19 pandemic has caused some individuals to experience vicarious traumatization (VT), an adverse psychological reaction to those who are primarily traumatized, which may negatively impact one's mental health and well-being and has been demonstrated to vary with personal trauma history. The neural mechanism of VT and how past trauma history affects current VT remain largely unknown. This study aimed to identify neurobiological markers that track individual differences in VT and reveal the neural link between childhood cumulative trauma (CCT) and VT. Methods We used structural and resting-state functional magnetic resonance imaging before the pandemic to identify prospective brain markers for COVID-related VT by correlating individuals' VT levels during the pandemic with the gray matter volume (GMV) and seed-based resting-state functional connectivity (RSFC) and examined how these brain markers linked CCT to VT in a sample of general young adults (N?=?115/100). Results Whole-brain GMV?behavior correlation analysis showed that VT was positively associated with GMV in the right dorsolateral prefrontal gyrus (DLPFC). Using the cluster derived from the GMV?behavior correlation analysis as the seed region, we further revealed that the RSFC between the right DLPFC and right precuneus was negatively associated with VT. Importantly, the right DLPFC volume and DLPFC-precuneus RSFC mediated the effect of CCT on VT. These findings remained unaffected by factors such as family socioeconomic status, other stressful life events, and general mental health. Conclusions Overall, our study presents structural and functional brain markers for VT and highlights these brain-based markers as a potential neural mechanism linking CCT to COVID-related VT, which has implications for treating and preventing the development of trauma-related mental disorders. En ligne : https://doi.org/10.1111/jcpp.13989 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] Brain structure and functional connectivity linking childhood cumulative trauma to COVID-19 vicarious traumatization [Texte imprimé et/ou numérique] / Xiqin LIU, Auteur ; Yajun ZHAO, Auteur ; Jingguang LI, Auteur ; Xueling SUO, Auteur ; Qiyong GONG, Auteur ; Song WANG, Auteur . - p.1407-1418. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1407-1418 Mots-clés : Childhood cumulative trauma  vicarious traumatization  COVID-19  gray matter volume  resting-state functional connectivity Index. décimale : PER Périodiques Résumé : Background The COVID-19 pandemic has caused some individuals to experience vicarious traumatization (VT), an adverse psychological reaction to those who are primarily traumatized, which may negatively impact one's mental health and well-being and has been demonstrated to vary with personal trauma history. The neural mechanism of VT and how past trauma history affects current VT remain largely unknown. This study aimed to identify neurobiological markers that track individual differences in VT and reveal the neural link between childhood cumulative trauma (CCT) and VT. Methods We used structural and resting-state functional magnetic resonance imaging before the pandemic to identify prospective brain markers for COVID-related VT by correlating individuals' VT levels during the pandemic with the gray matter volume (GMV) and seed-based resting-state functional connectivity (RSFC) and examined how these brain markers linked CCT to VT in a sample of general young adults (N?=?115/100). Results Whole-brain GMV?behavior correlation analysis showed that VT was positively associated with GMV in the right dorsolateral prefrontal gyrus (DLPFC). Using the cluster derived from the GMV?behavior correlation analysis as the seed region, we further revealed that the RSFC between the right DLPFC and right precuneus was negatively associated with VT. Importantly, the right DLPFC volume and DLPFC-precuneus RSFC mediated the effect of CCT on VT. These findings remained unaffected by factors such as family socioeconomic status, other stressful life events, and general mental health. Conclusions Overall, our study presents structural and functional brain markers for VT and highlights these brain-based markers as a potential neural mechanism linking CCT to COVID-related VT, which has implications for treating and preventing the development of trauma-related mental disorders. En ligne : https://doi.org/10.1111/jcpp.13989 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

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

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