Determining the key childhood and adolescent risk factors for future BPD symptoms using regularized regression: comparison to depression and conduct disorder / Joseph E. BEENEY 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.223-231 Titre : Determining the key childhood and adolescent risk factors for future BPD symptoms using regularized regression: comparison to depression and conduct disorder Type de document : Texte imprimé et/ou numérique Auteurs : Joseph E. BEENEY, Auteur ; Erika E. FORBES, Auteur ; Alison E. HIPWELL, Auteur ; Melissa NANCE, Auteur ; Alexis MATTIA, Auteur ; Joely M. LAWLESS, Auteur ; Layla BANIHASHEMI, Auteur ; Stephanie D. STEPP, Auteur Année de publication : 2021 Article en page(s) : p.223-231 Langues : Anglais (eng) Mots-clés : Risk factors  borderline personality disorder  comorbidity  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : OBJECTIVE: Research has yielded factors considered critical to risk for borderline personality disorder (BPD). Yet, these factors overlap and are relevant to other disorders, like depression and conduct disorder (CD). Regularized regression, a machine learning approach, was developed to allow identification of the most important variables in large datasets with correlated predictors. We aimed to identify critical predictors of BPD symptoms in late adolescence (ages 16-18) and determine the specificity of factors to BPD versus disorders with putatively similar etiology. METHOD: We used a prospective longitudinal dataset (n = 2,450) of adolescent girls assessed on a range of clinical, psychosocial, and demographic factors, highlighted by previous research on BPD. Predictors were grouped by developmental periods: late childhood (8-10) and early (11-13) and mid-adolescence (14-15), yielding 128 variables from 41 constructs. The same variables were used in models predicting depression and CD symptoms. RESULTS: The best-fitting model for BPD symptoms included 19 predictors and explained 33.2% of the variance. Five constructs - depressive and anxiety symptoms, self-control, harsh punishment, and poor social and school functioning - accounted for most of the variance explained. BPD was differentiated from CD by greater problems with mood and anxiety in BPD and differences in parenting risk factors. Whereas the biggest parenting risk for BPD was a punitive style of parenting, CD was predicted by both punitive and disengaged styles. BPD was differentiated from MDD by greater social problems and poor behavioral control in BPD. CONCLUSIONS: The best predictors of BPD symptoms in adolescence are features suggesting complex comorbidity, affective activation, and problems with self-control. Though some risk factors were non-specific (e.g., inattention), the disorders were distinguished in clinically significant ways. En ligne : http://dx.doi.org/10.1111/jcpp.13269 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440 [article] Determining the key childhood and adolescent risk factors for future BPD symptoms using regularized regression: comparison to depression and conduct disorder [Texte imprimé et/ou numérique] / Joseph E. BEENEY, Auteur ; Erika E. FORBES, Auteur ; Alison E. HIPWELL, Auteur ; Melissa NANCE, Auteur ; Alexis MATTIA, Auteur ; Joely M. LAWLESS, Auteur ; Layla BANIHASHEMI, Auteur ; Stephanie D. STEPP, Auteur . - 2021 . - p.223-231. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.223-231 Mots-clés : Risk factors  borderline personality disorder  comorbidity  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : OBJECTIVE: Research has yielded factors considered critical to risk for borderline personality disorder (BPD). Yet, these factors overlap and are relevant to other disorders, like depression and conduct disorder (CD). Regularized regression, a machine learning approach, was developed to allow identification of the most important variables in large datasets with correlated predictors. We aimed to identify critical predictors of BPD symptoms in late adolescence (ages 16-18) and determine the specificity of factors to BPD versus disorders with putatively similar etiology. METHOD: We used a prospective longitudinal dataset (n = 2,450) of adolescent girls assessed on a range of clinical, psychosocial, and demographic factors, highlighted by previous research on BPD. Predictors were grouped by developmental periods: late childhood (8-10) and early (11-13) and mid-adolescence (14-15), yielding 128 variables from 41 constructs. The same variables were used in models predicting depression and CD symptoms. RESULTS: The best-fitting model for BPD symptoms included 19 predictors and explained 33.2% of the variance. Five constructs - depressive and anxiety symptoms, self-control, harsh punishment, and poor social and school functioning - accounted for most of the variance explained. BPD was differentiated from CD by greater problems with mood and anxiety in BPD and differences in parenting risk factors. Whereas the biggest parenting risk for BPD was a punitive style of parenting, CD was predicted by both punitive and disengaged styles. BPD was differentiated from MDD by greater social problems and poor behavioral control in BPD. CONCLUSIONS: The best predictors of BPD symptoms in adolescence are features suggesting complex comorbidity, affective activation, and problems with self-control. Though some risk factors were non-specific (e.g., inattention), the disorders were distinguished in clinically significant ways. En ligne : http://dx.doi.org/10.1111/jcpp.13269 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440

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

Parents still matter! Parental warmth predicts adolescent brain function and anxiety and depressive symptoms 2 years later / Rosalind D. BUTTERFIELD in Development and Psychopathology, 33-1 (February 2021)  

Public ISBD [article]  inDevelopment and Psychopathology > 33-1 (February 2021) . - p.226-239 Titre : Parents still matter! Parental warmth predicts adolescent brain function and anxiety and depressive symptoms 2 years later Type de document : Texte imprimé et/ou numérique Auteurs : Rosalind D. BUTTERFIELD, Auteur ; Jennifer S. SILK, Auteur ; Kyung Hwa LEE, Auteur ; Greg S. SIEGLE, Auteur ; Ronald E. DAHL, Auteur ; Erika E. FORBES, Auteur ; Neal D. RYAN, Auteur ; Jill M. HOOLEY, Auteur ; Cecile D. LADOUCEUR, Auteur Article en page(s) : p.226-239 Langues : Anglais (eng) Mots-clés : adolescence  anxiety  depression  fMRI  parental warmth Index. décimale : PER Périodiques Résumé : Anxiety is the most prevalent psychological disorder among youth, and even following treatment, it confers risk for anxiety relapse and the development of depression. Anxiety disorders are associated with heightened response to negative affective stimuli in the brain networks that underlie emotion processing. One factor that can attenuate the symptoms of anxiety and depression in high-risk youth is parental warmth. The current study investigates whether parental warmth helps to protect against future anxiety and depressive symptoms in adolescents with histories of anxiety and whether neural functioning in the brain regions that are implicated in emotion processing and regulation can account for this link. Following treatment for anxiety disorder (Time 1), 30 adolescents (M age = 11.58, SD = 1.26) reported on maternal warmth, and 2 years later (Time 2) they participated in a functional neuroimaging task where they listened to prerecorded criticism and neutral statements from a parent. Higher maternal warmth predicted lower neural activation during criticism, compared with the response during neutral statements, in the left amygdala, bilateral insula, subgenual anterior cingulate (sgACC), right ventrolateral prefrontal cortex, and anterior cingulate cortex. Maternal warmth was associated with adolescents' anxiety and depressive symptoms due to the indirect effects of sgACC activation, suggesting that parenting may attenuate risk for internalizing through its effects on brain function. En ligne : http://dx.doi.org/10.1017/s0954579419001718 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442 [article] Parents still matter! Parental warmth predicts adolescent brain function and anxiety and depressive symptoms 2 years later [Texte imprimé et/ou numérique] / Rosalind D. BUTTERFIELD, Auteur ; Jennifer S. SILK, Auteur ; Kyung Hwa LEE, Auteur ; Greg S. SIEGLE, Auteur ; Ronald E. DAHL, Auteur ; Erika E. FORBES, Auteur ; Neal D. RYAN, Auteur ; Jill M. HOOLEY, Auteur ; Cecile D. LADOUCEUR, Auteur . - p.226-239. Langues : Anglais (eng) in Development and Psychopathology > 33-1 (February 2021) . - p.226-239 Mots-clés : adolescence  anxiety  depression  fMRI  parental warmth Index. décimale : PER Périodiques Résumé : Anxiety is the most prevalent psychological disorder among youth, and even following treatment, it confers risk for anxiety relapse and the development of depression. Anxiety disorders are associated with heightened response to negative affective stimuli in the brain networks that underlie emotion processing. One factor that can attenuate the symptoms of anxiety and depression in high-risk youth is parental warmth. The current study investigates whether parental warmth helps to protect against future anxiety and depressive symptoms in adolescents with histories of anxiety and whether neural functioning in the brain regions that are implicated in emotion processing and regulation can account for this link. Following treatment for anxiety disorder (Time 1), 30 adolescents (M age = 11.58, SD = 1.26) reported on maternal warmth, and 2 years later (Time 2) they participated in a functional neuroimaging task where they listened to prerecorded criticism and neutral statements from a parent. Higher maternal warmth predicted lower neural activation during criticism, compared with the response during neutral statements, in the left amygdala, bilateral insula, subgenual anterior cingulate (sgACC), right ventrolateral prefrontal cortex, and anterior cingulate cortex. Maternal warmth was associated with adolescents' anxiety and depressive symptoms due to the indirect effects of sgACC activation, suggesting that parenting may attenuate risk for internalizing through its effects on brain function. En ligne : http://dx.doi.org/10.1017/s0954579419001718 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442

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