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Auteur Amanda E. GUYER |
Documents disponibles écrits par cet auteur (2)
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Girls' brain structural connectivity in late adolescence relates to history of depression symptoms / Rajpreet CHAHAL in Journal of Child Psychology and Psychiatry, 61-11 (November 2020)
[article]
Titre : Girls' brain structural connectivity in late adolescence relates to history of depression symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Rajpreet CHAHAL, Auteur ; David G. WEISSMAN, Auteur ; Scott MAREK, Auteur ; Shawn A. RHOADS, Auteur ; Alison E. HIPWELL, Auteur ; Erika E. FORBES, Auteur ; Kate KEENAN, Auteur ; Amanda E. GUYER, Auteur Article en page(s) : p.1224-1233 Langues : Anglais (eng) Mots-clés : Adolescence brain imaging connectomics depression development Index. décimale : PER Périodiques Résumé : BACKGROUND: Girls' depressive symptoms typically increase in adolescence, with individual differences in course and severity being key risk factors for impaired emotional functioning in young adulthood. Given the continued brain white matter (WM) maturation that occurs in adolescence, the present study tested whether structural connectivity patterns in late adolescence are associated with variation in the course of depression symptom severity throughout adolescence. METHOD: Participants were girls (N = 115) enrolled in a multiyear prospective cohort study of risk for depression. Initial depression severity (intercept) at age 10 and change in severity (linear slope) across ages 10-19 were examined in relation to WM tractography collected at age 19. Network-based statistic analyses were used to identify clusters showing variation in structural connectivity in association with depressive symptom intercept, slope, and their interaction. RESULTS: Higher initial depressive severity and steeper positive slope (separately) were associated with greater structural connectivity between temporal, subcortical socioaffective, and occipital regions. Intercept showed more connectivity associations than slope. The interaction effect indicated that higher initial symptom severity and a steeper negative slope (i.e., alleviating symptoms) were related to greater connectivity between cognitive control regions. Moderately severe symptoms that worsened over time were followed by greater connectivity between self-referential and cognitive regions (e.g., posterior cingulate and frontal gyrus). CONCLUSIONS: Higher depressive symptom severity in early adolescence and increasing symptom severity over time may forecast structural connectivity differences in late adolescence, particularly in pathways involving cognitive and emotion-processing regions. Understanding how clinical course relates to neurobiological correlates may inform new treatment approaches to adolescent depression. En ligne : http://dx.doi.org/10.1111/jcpp.13184 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Journal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233[article] Girls' brain structural connectivity in late adolescence relates to history of depression symptoms [Texte imprimé et/ou numérique] / Rajpreet CHAHAL, Auteur ; David G. WEISSMAN, Auteur ; Scott MAREK, Auteur ; Shawn A. RHOADS, Auteur ; Alison E. HIPWELL, Auteur ; Erika E. FORBES, Auteur ; Kate KEENAN, Auteur ; Amanda E. GUYER, Auteur . - p.1224-1233.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233
Mots-clés : Adolescence brain imaging connectomics depression development Index. décimale : PER Périodiques Résumé : BACKGROUND: Girls' depressive symptoms typically increase in adolescence, with individual differences in course and severity being key risk factors for impaired emotional functioning in young adulthood. Given the continued brain white matter (WM) maturation that occurs in adolescence, the present study tested whether structural connectivity patterns in late adolescence are associated with variation in the course of depression symptom severity throughout adolescence. METHOD: Participants were girls (N = 115) enrolled in a multiyear prospective cohort study of risk for depression. Initial depression severity (intercept) at age 10 and change in severity (linear slope) across ages 10-19 were examined in relation to WM tractography collected at age 19. Network-based statistic analyses were used to identify clusters showing variation in structural connectivity in association with depressive symptom intercept, slope, and their interaction. RESULTS: Higher initial depressive severity and steeper positive slope (separately) were associated with greater structural connectivity between temporal, subcortical socioaffective, and occipital regions. Intercept showed more connectivity associations than slope. The interaction effect indicated that higher initial symptom severity and a steeper negative slope (i.e., alleviating symptoms) were related to greater connectivity between cognitive control regions. Moderately severe symptoms that worsened over time were followed by greater connectivity between self-referential and cognitive regions (e.g., posterior cingulate and frontal gyrus). CONCLUSIONS: Higher depressive symptom severity in early adolescence and increasing symptom severity over time may forecast structural connectivity differences in late adolescence, particularly in pathways involving cognitive and emotion-processing regions. Understanding how clinical course relates to neurobiological correlates may inform new treatment approaches to adolescent depression. En ligne : http://dx.doi.org/10.1111/jcpp.13184 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective / Rajpreet CHAHAL in Journal of Child Psychology and Psychiatry, 61-12 (December 2020)
[article]
Titre : Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective Type de document : Texte imprimé et/ou numérique Auteurs : Rajpreet CHAHAL, Auteur ; Ian H. GOTLIB, Auteur ; Amanda E. GUYER, Auteur Article en page(s) : p.1282-1298 Langues : Anglais (eng) Mots-clés : Depression adolescence brain networks connectivity heterogeneity precision mental health Index. décimale : PER Périodiques Résumé : BACKGROUND: Adolescence is a period of high risk for the onset of depression, characterized by variability in symptoms, severity, and course. During adolescence, the neurocircuitry implicated in depression continues to mature, suggesting that it is an important period for intervention. Reflecting the recent emergence of 'precision mental health' - a person-centered approach to identifying, preventing, and treating psychopathology - researchers have begun to document associations between heterogeneity in features of depression and individual differences in brain circuitry, most frequently in resting-state functional connectivity (RSFC). METHODS: In this review, we present emerging work examining pre- and post-treatment measures of network connectivity in depressed adolescents; these studies reveal potential intervention-specific neural markers of treatment efficacy. We also review findings from studies examining associations between network connectivity and both types of depressive symptoms and response to treatment in adults, and indicate how this work can be extended to depressed adolescents. Finally, we offer recommendations for research that we believe will advance the science of precision mental health of adolescence. RESULTS: Nascent studies suggest that linking RSFC-based pathophysiological variation with effects of different types of treatment and changes in mood following specific interventions will strengthen predictions of prognosis and treatment response. Studies with larger sample sizes and direct comparisons of treatments are required to determine whether RSFC patterns are reliable neuromarkers of treatment response for depressed adolescents. Although we are not yet at the point of using RSFC to guide clinical decision-making, findings from research examining the stability and reliability of RSFC point to a favorable future for network-based clinical phenotyping. CONCLUSIONS: Delineating the correspondence between specific clinical characteristics of depression (e.g., symptoms, severity, and treatment response) and patterns of network-based connectivity will facilitate the development of more tailored and effective approaches to the assessment, prevention, and treatment of depression in adolescents. En ligne : http://dx.doi.org/10.1111/jcpp.13250 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1282-1298[article] Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective [Texte imprimé et/ou numérique] / Rajpreet CHAHAL, Auteur ; Ian H. GOTLIB, Auteur ; Amanda E. GUYER, Auteur . - p.1282-1298.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1282-1298
Mots-clés : Depression adolescence brain networks connectivity heterogeneity precision mental health Index. décimale : PER Périodiques Résumé : BACKGROUND: Adolescence is a period of high risk for the onset of depression, characterized by variability in symptoms, severity, and course. During adolescence, the neurocircuitry implicated in depression continues to mature, suggesting that it is an important period for intervention. Reflecting the recent emergence of 'precision mental health' - a person-centered approach to identifying, preventing, and treating psychopathology - researchers have begun to document associations between heterogeneity in features of depression and individual differences in brain circuitry, most frequently in resting-state functional connectivity (RSFC). METHODS: In this review, we present emerging work examining pre- and post-treatment measures of network connectivity in depressed adolescents; these studies reveal potential intervention-specific neural markers of treatment efficacy. We also review findings from studies examining associations between network connectivity and both types of depressive symptoms and response to treatment in adults, and indicate how this work can be extended to depressed adolescents. Finally, we offer recommendations for research that we believe will advance the science of precision mental health of adolescence. RESULTS: Nascent studies suggest that linking RSFC-based pathophysiological variation with effects of different types of treatment and changes in mood following specific interventions will strengthen predictions of prognosis and treatment response. Studies with larger sample sizes and direct comparisons of treatments are required to determine whether RSFC patterns are reliable neuromarkers of treatment response for depressed adolescents. Although we are not yet at the point of using RSFC to guide clinical decision-making, findings from research examining the stability and reliability of RSFC point to a favorable future for network-based clinical phenotyping. CONCLUSIONS: Delineating the correspondence between specific clinical characteristics of depression (e.g., symptoms, severity, and treatment response) and patterns of network-based connectivity will facilitate the development of more tailored and effective approaches to the assessment, prevention, and treatment of depression in adolescents. En ligne : http://dx.doi.org/10.1111/jcpp.13250 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434