An exploration of dimensions of early adversity and the development of functional brain network connectivity during adolescence: Implications for trajectories of internalizing symptoms / Rajpreet CHAHAL in Development and Psychopathology, 34-2 (May 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-2 (May 2022) . - 557-571 Titre : An exploration of dimensions of early adversity and the development of functional brain network connectivity during adolescence: Implications for trajectories of internalizing symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Rajpreet CHAHAL, Auteur ; Jonas G. MILLER, Auteur ; Justin P. YUAN, Auteur ; Jessica L. BUTHMANN, Auteur ; Ian H. GOTLIB, Auteur Article en page(s) : 557-571 Langues : Anglais (eng) Mots-clés : adolescence  adversity  dimensions  connectivity  development Index. décimale : PER Périodiques Résumé : Different dimensions of adversity may affect mental health through distinct neurobiological mechanisms, though current supporting evidence consists largely of cross-sectional associations between threat or deprivation and fronto-limbic circuitry. In this exploratory three-wave longitudinal study spanning ages 9?19 years, we examined the associations between experiences of unpredictability, threat, and deprivation with the development of functional connectivity within and between three brain networks implicated in psychopathology: the salience (SAL), default mode (DMN), and fronto-parietal (FPN) networks, and tested whether network trajectories moderated associations between adversity and changes in internalizing symptoms. Connectivity decreased with age on average; these changes differed by dimension of adversity. Whereas family-level deprivation was associated with lower initial levels and more stability across most networks, unpredictability was associated with stability only in SAL connectivity, and threat was associated with stability in FPN and DMN-SAL connectivity. In youth exposed to higher levels of any adversity, lower initial levels and more stability in connectivity were related to smaller increases in internalizing symptoms. Our findings suggest that whereas deprivation is associated with widespread neurodevelopmental differences in cognitive and emotion processing networks, unpredictability is related selectively to salience detection circuitry. Studies with wider developmental windows should examine whether these neurodevelopmental alterations are adaptive or serve to maintain internalizing symptoms. En ligne : http://dx.doi.org/10.1017/s0954579421001814 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474 [article] An exploration of dimensions of early adversity and the development of functional brain network connectivity during adolescence: Implications for trajectories of internalizing symptoms [Texte imprimé et/ou numérique] / Rajpreet CHAHAL, Auteur ; Jonas G. MILLER, Auteur ; Justin P. YUAN, Auteur ; Jessica L. BUTHMANN, Auteur ; Ian H. GOTLIB, Auteur . - 557-571. Langues : Anglais (eng) in Development and Psychopathology > 34-2 (May 2022) . - 557-571 Mots-clés : adolescence  adversity  dimensions  connectivity  development Index. décimale : PER Périodiques Résumé : Different dimensions of adversity may affect mental health through distinct neurobiological mechanisms, though current supporting evidence consists largely of cross-sectional associations between threat or deprivation and fronto-limbic circuitry. In this exploratory three-wave longitudinal study spanning ages 9?19 years, we examined the associations between experiences of unpredictability, threat, and deprivation with the development of functional connectivity within and between three brain networks implicated in psychopathology: the salience (SAL), default mode (DMN), and fronto-parietal (FPN) networks, and tested whether network trajectories moderated associations between adversity and changes in internalizing symptoms. Connectivity decreased with age on average; these changes differed by dimension of adversity. Whereas family-level deprivation was associated with lower initial levels and more stability across most networks, unpredictability was associated with stability only in SAL connectivity, and threat was associated with stability in FPN and DMN-SAL connectivity. In youth exposed to higher levels of any adversity, lower initial levels and more stability in connectivity were related to smaller increases in internalizing symptoms. Our findings suggest that whereas deprivation is associated with widespread neurodevelopmental differences in cognitive and emotion processing networks, unpredictability is related selectively to salience detection circuitry. Studies with wider developmental windows should examine whether these neurodevelopmental alterations are adaptive or serve to maintain internalizing symptoms. En ligne : http://dx.doi.org/10.1017/s0954579421001814 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474

Correlates and predictors of the severity of suicidal ideation in adolescence: an examination of brain connectomics and psychosocial characteristics / Jaclyn S. KIRSHENBAUM in Journal of Child Psychology and Psychiatry, 63-6 (June 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-6 (June 2022) . - p.701-714 Titre : Correlates and predictors of the severity of suicidal ideation in adolescence: an examination of brain connectomics and psychosocial characteristics Type de document : Texte imprimé et/ou numérique Auteurs : Jaclyn S. KIRSHENBAUM, Auteur ; Rajpreet CHAHAL, Auteur ; Tiffany C. HO, Auteur ; Lucy S. KING, Auteur ; Anthony J. GIFUNI, Auteur ; Dana MASTROVITO, Auteur ; Saché M. COURY, Auteur ; Rachel L. WEISENBURGER, Auteur ; Ian H. GOTLIB, Auteur Article en page(s) : p.701-714 Langues : Anglais (eng) Mots-clés : Suicidal ideation  adolescence  graph theory  internalizing and externalizing symptoms  resting-state fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Suicidal ideation (SI) typically emerges during adolescence but is challenging to predict. Given the potentially lethal consequences of SI, it is important to identify neurobiological and psychosocial variables explaining the severity of SI in adolescents. METHODS: In 106 participants (59 female) recruited from the community, we assessed psychosocial characteristics and obtained resting-state fMRI data in early adolescence (baseline: aged 9-13?years). Across 250 brain regions, we assessed local graph theory-based properties of interconnectedness: local efficiency, eigenvector centrality, nodal degree, within-module z-score, and participation coefficient. Four years later (follow-up: ages 13-19?years), participants self-reported their SI severity. We used least absolute shrinkage and selection operator (LASSO) regressions to identify a linear combination of psychosocial and brain-based variables that best explain the severity of SI symptoms at follow-up. Nested-cross-validation yielded model performance statistics for all LASSO models. RESULTS: A combination of psychosocial and brain-based variables explained subsequent severity of SI (R(2?) =?.55); the strongest was internalizing and externalizing symptom severity at follow-up. Follow-up LASSO regressions of psychosocial-only and brain-based-only variables indicated that psychosocial-only variables explained 55% of the variance in SI severity; in contrast, brain-based-only variables performed worse than the null model. CONCLUSIONS: A linear combination of baseline and follow-up psychosocial variables best explained the severity of SI. Follow-up analyses indicated that graph theory resting-state metrics did not increase the prediction of the severity of SI in adolescents. Attending to internalizing and externalizing symptoms is important in early adolescence; resting-state connectivity properties other than local graph theory metrics might yield a stronger prediction of the severity of SI. En ligne : http://dx.doi.org/10.1111/jcpp.13512 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475 [article] Correlates and predictors of the severity of suicidal ideation in adolescence: an examination of brain connectomics and psychosocial characteristics [Texte imprimé et/ou numérique] / Jaclyn S. KIRSHENBAUM, Auteur ; Rajpreet CHAHAL, Auteur ; Tiffany C. HO, Auteur ; Lucy S. KING, Auteur ; Anthony J. GIFUNI, Auteur ; Dana MASTROVITO, Auteur ; Saché M. COURY, Auteur ; Rachel L. WEISENBURGER, Auteur ; Ian H. GOTLIB, Auteur . - p.701-714. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-6 (June 2022) . - p.701-714 Mots-clés : Suicidal ideation  adolescence  graph theory  internalizing and externalizing symptoms  resting-state fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Suicidal ideation (SI) typically emerges during adolescence but is challenging to predict. Given the potentially lethal consequences of SI, it is important to identify neurobiological and psychosocial variables explaining the severity of SI in adolescents. METHODS: In 106 participants (59 female) recruited from the community, we assessed psychosocial characteristics and obtained resting-state fMRI data in early adolescence (baseline: aged 9-13?years). Across 250 brain regions, we assessed local graph theory-based properties of interconnectedness: local efficiency, eigenvector centrality, nodal degree, within-module z-score, and participation coefficient. Four years later (follow-up: ages 13-19?years), participants self-reported their SI severity. We used least absolute shrinkage and selection operator (LASSO) regressions to identify a linear combination of psychosocial and brain-based variables that best explain the severity of SI symptoms at follow-up. Nested-cross-validation yielded model performance statistics for all LASSO models. RESULTS: A combination of psychosocial and brain-based variables explained subsequent severity of SI (R(2?) =?.55); the strongest was internalizing and externalizing symptom severity at follow-up. Follow-up LASSO regressions of psychosocial-only and brain-based-only variables indicated that psychosocial-only variables explained 55% of the variance in SI severity; in contrast, brain-based-only variables performed worse than the null model. CONCLUSIONS: A linear combination of baseline and follow-up psychosocial variables best explained the severity of SI. Follow-up analyses indicated that graph theory resting-state metrics did not increase the prediction of the severity of SI in adolescents. Attending to internalizing and externalizing symptoms is important in early adolescence; resting-state connectivity properties other than local graph theory metrics might yield a stronger prediction of the severity of SI. En ligne : http://dx.doi.org/10.1111/jcpp.13512 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475

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)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233 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 [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

Heart rate variability moderates the effects of COVID-19-related stress and family adversity on emotional problems in adolescents: Testing models of differential susceptibility and diathesis stress / Jonas G. MILLER in Development and Psychopathology, 34-5 (December 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-5 (December 2022) . - p.1974-1985 Titre : Heart rate variability moderates the effects of COVID-19-related stress and family adversity on emotional problems in adolescents: Testing models of differential susceptibility and diathesis stress Type de document : Texte imprimé et/ou numérique Auteurs : Jonas G. MILLER, Auteur ; Rajpreet CHAHAL, Auteur ; Jaclyn S. KIRSHENBAUM, Auteur ; Tiffany C. HO, Auteur ; Anthony J. GIFUNI, Auteur ; Ian H. GOTLIB, Auteur Article en page(s) : p.1974-1985 Langues : Anglais (eng) Mots-clés : adolescence  biological sensitivity to context  COVID-19  diathesis stress  differential susceptibility  heart rate variability Index. décimale : PER Périodiques Résumé : The COVID-19 pandemic is a unique period of stress, uncertainty, and adversity that will have significant implications for adolescent mental health. Nevertheless, stress and adversity related to COVID-19 may be more consequential for some adolescents’ mental health than for others. We examined whether heart rate variability (HRV) indicated differential susceptibility to mental health difficulties associated with COVID-19 stress and COVID-19 family adversity. Approximately 4 years prior to the pandemic, we assessed resting HRV and HRV reactivity to a well-validated stress paradigm in 87 adolescents. During the pandemic, these adolescents (ages 13 “19) reported on their health-related stress and concerns about COVID-19, family adversity related to COVID-19, and their recent emotional problems. The association between COVID-19 stress and emotional problems was significantly stronger for adolescents who previously exhibited higher resting HRV or higher HRV reactivity. For adolescents who exhibited lower resting HRV or HRV augmentation, COVID-19 stress was not associated with emotional problems. Conversely, lower resting HRV indicated vulnerability to the effect of COVID-19 family adversity on emotional problems. Different patterns of parasympathetic functioning may reflect differential susceptibility to the effects of COVID-19 stress versus vulnerability to the effects of COVID-19 family adversity on mental health during the pandemic. En ligne : http://dx.doi.org/10.1017/S095457942100033X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492 [article] Heart rate variability moderates the effects of COVID-19-related stress and family adversity on emotional problems in adolescents: Testing models of differential susceptibility and diathesis stress [Texte imprimé et/ou numérique] / Jonas G. MILLER, Auteur ; Rajpreet CHAHAL, Auteur ; Jaclyn S. KIRSHENBAUM, Auteur ; Tiffany C. HO, Auteur ; Anthony J. GIFUNI, Auteur ; Ian H. GOTLIB, Auteur . - p.1974-1985. Langues : Anglais (eng) in Development and Psychopathology > 34-5 (December 2022) . - p.1974-1985 Mots-clés : adolescence  biological sensitivity to context  COVID-19  diathesis stress  differential susceptibility  heart rate variability Index. décimale : PER Périodiques Résumé : The COVID-19 pandemic is a unique period of stress, uncertainty, and adversity that will have significant implications for adolescent mental health. Nevertheless, stress and adversity related to COVID-19 may be more consequential for some adolescents’ mental health than for others. We examined whether heart rate variability (HRV) indicated differential susceptibility to mental health difficulties associated with COVID-19 stress and COVID-19 family adversity. Approximately 4 years prior to the pandemic, we assessed resting HRV and HRV reactivity to a well-validated stress paradigm in 87 adolescents. During the pandemic, these adolescents (ages 13 “19) reported on their health-related stress and concerns about COVID-19, family adversity related to COVID-19, and their recent emotional problems. The association between COVID-19 stress and emotional problems was significantly stronger for adolescents who previously exhibited higher resting HRV or higher HRV reactivity. For adolescents who exhibited lower resting HRV or HRV augmentation, COVID-19 stress was not associated with emotional problems. Conversely, lower resting HRV indicated vulnerability to the effect of COVID-19 family adversity on emotional problems. Different patterns of parasympathetic functioning may reflect differential susceptibility to the effects of COVID-19 stress versus vulnerability to the effects of COVID-19 family adversity on mental health during the pandemic. En ligne : http://dx.doi.org/10.1017/S095457942100033X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492

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)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1282-1298 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 [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

The default mode network is associated with changes in internalizing and externalizing problems differently in adolescent boys and girls / Rajpreet CHAHAL ; Ian H. GOTLIB in Development and Psychopathology, 36-2 (May 2024)  

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