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

Commentary: Treatment failure and success: a commentary on defining and treating pediatric treatment-resistant depression - reflections on Dwyer et al. (2020) / Jeffrey R. STRAWN in Journal of Child Psychology and Psychiatry, 61-3 (March 2020)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-3 (March 2020) . - p.333-335 Titre : Commentary: Treatment failure and success: a commentary on defining and treating pediatric treatment-resistant depression - reflections on Dwyer et al. (2020) Type de document : Texte imprimé et/ou numérique Auteurs : Jeffrey R. STRAWN, Auteur ; Paul E. CROARKIN, Auteur Article en page(s) : p.333-335 Langues : Anglais (eng) Mots-clés : Depression  major depressive disorder  treatment-resistant depression Index. décimale : PER Périodiques Résumé : Nearly two in five youth with major depressive disorder fail to respond to first-line interventions. As such, treatment-resistant depression represents a formidable challenge for clinicians and researchers. In fact, even considering the diagnosis of treatment-resistant depression in children and adolescents requires (a) defining treatment-resistant depression and, by extension, treatment failure; (b) defining recovery; (c) understanding its developmental trajectory; and in addition to (d) understanding the evidence for treatment interventions in this population. Accumulating data suggest that treatment-resistant depression is heterogeneous and that this heterogeneity may inform interventions. Additionally, these data suggest that substantially more nuance is needed in evaluating the 'adequacy' of prior treatments whether they are psychotherapeutic or psychopharmacologic. Last, adjunctive interventions that focus on neuromodulation, glutamatergic, GABAergic, and inflammatory pathways remain poorly understood in youth with treatment-resistant depression despite very significant advances in adults with treatment-resistant depression. En ligne : http://dx.doi.org/10.1111/jcpp.13207 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=420 [article] Commentary: Treatment failure and success: a commentary on defining and treating pediatric treatment-resistant depression - reflections on Dwyer et al. (2020) [Texte imprimé et/ou numérique] / Jeffrey R. STRAWN, Auteur ; Paul E. CROARKIN, Auteur . - p.333-335. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-3 (March 2020) . - p.333-335 Mots-clés : Depression  major depressive disorder  treatment-resistant depression Index. décimale : PER Périodiques Résumé : Nearly two in five youth with major depressive disorder fail to respond to first-line interventions. As such, treatment-resistant depression represents a formidable challenge for clinicians and researchers. In fact, even considering the diagnosis of treatment-resistant depression in children and adolescents requires (a) defining treatment-resistant depression and, by extension, treatment failure; (b) defining recovery; (c) understanding its developmental trajectory; and in addition to (d) understanding the evidence for treatment interventions in this population. Accumulating data suggest that treatment-resistant depression is heterogeneous and that this heterogeneity may inform interventions. Additionally, these data suggest that substantially more nuance is needed in evaluating the 'adequacy' of prior treatments whether they are psychotherapeutic or psychopharmacologic. Last, adjunctive interventions that focus on neuromodulation, glutamatergic, GABAergic, and inflammatory pathways remain poorly understood in youth with treatment-resistant depression despite very significant advances in adults with treatment-resistant depression. En ligne : http://dx.doi.org/10.1111/jcpp.13207 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=420

Research Review: Pediatric anxiety disorders - what have we learnt in the last 10 years? / Jeffrey R. STRAWN in Journal of Child Psychology and Psychiatry, 62-2 (February 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.114-139 Titre : Research Review: Pediatric anxiety disorders - what have we learnt in the last 10 years? Type de document : Texte imprimé et/ou numérique Auteurs : Jeffrey R. STRAWN, Auteur ; Lu LU, Auteur ; Tara S. PERIS, Auteur ; Amir LEVINE, Auteur ; John T. WALKUP, Auteur Année de publication : 2021 Article en page(s) : p.114-139 Langues : Anglais (eng) Mots-clés : Generalized anxiety disorder  Sri)  fMRI  pharmacogenomics  selective serotonin reuptake inhibitor (SSRI  separation anxiety disorder Index. décimale : PER Périodiques Résumé : BACKGROUND: Anxiety disorders first emerge during the critical developmental periods of childhood and adolescence. This review synthesizes recent findings on the prevalence, risk factors, and course of the anxiety disorders; and their neurobiology and treatment. METHODS: For this review, searches were conducted using PubMed, PsycINFO, and clinicaltrials.gov. Findings related to the epidemiology, neurobiology, risk factors, and treatment of pediatric anxiety disorders were then summarized. FINDINGS: Anxiety disorders are high prevalence, and early-onset conditions associated with multiple risk factors including early inhibited temperament, environment stress, and structural and functional abnormalities in the prefrontal-amygdala circuitry as well as the default mode and salience networks. The anxiety disorders are effectively treated with cognitive behavioral therapy (CBT), selective serotonin reuptake inhibitors (SSRIs), and serotonin-norepinephrine reuptake inhibitors (SNRIs). CONCLUSIONS: Anxiety disorders are high prevalence, early-onset conditions associated with a distinct neurobiological fingerprint, and are consistently responsive to treatment. Questions remain regarding who is at risk of developing anxiety disorders as well as the way in which neurobiology predicts treatment response. En ligne : http://dx.doi.org/10.1111/jcpp.13262 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440 [article] Research Review: Pediatric anxiety disorders - what have we learnt in the last 10 years? [Texte imprimé et/ou numérique] / Jeffrey R. STRAWN, Auteur ; Lu LU, Auteur ; Tara S. PERIS, Auteur ; Amir LEVINE, Auteur ; John T. WALKUP, Auteur . - 2021 . - p.114-139. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.114-139 Mots-clés : Generalized anxiety disorder  Sri)  fMRI  pharmacogenomics  selective serotonin reuptake inhibitor (SSRI  separation anxiety disorder Index. décimale : PER Périodiques Résumé : BACKGROUND: Anxiety disorders first emerge during the critical developmental periods of childhood and adolescence. This review synthesizes recent findings on the prevalence, risk factors, and course of the anxiety disorders; and their neurobiology and treatment. METHODS: For this review, searches were conducted using PubMed, PsycINFO, and clinicaltrials.gov. Findings related to the epidemiology, neurobiology, risk factors, and treatment of pediatric anxiety disorders were then summarized. FINDINGS: Anxiety disorders are high prevalence, and early-onset conditions associated with multiple risk factors including early inhibited temperament, environment stress, and structural and functional abnormalities in the prefrontal-amygdala circuitry as well as the default mode and salience networks. The anxiety disorders are effectively treated with cognitive behavioral therapy (CBT), selective serotonin reuptake inhibitors (SSRIs), and serotonin-norepinephrine reuptake inhibitors (SNRIs). CONCLUSIONS: Anxiety disorders are high prevalence, early-onset conditions associated with a distinct neurobiological fingerprint, and are consistently responsive to treatment. Questions remain regarding who is at risk of developing anxiety disorders as well as the way in which neurobiology predicts treatment response. En ligne : http://dx.doi.org/10.1111/jcpp.13262 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440

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