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Data-driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders / C. J. VAIDYA in Journal of Child Psychology and Psychiatry, 61-1 (January 2020)
[article]
Titre : Data-driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : C. J. VAIDYA, Auteur ; X. YOU, Auteur ; S. MOSTOFSKY, Auteur ; F. PEREIRA, Auteur ; M. M. BERL, Auteur ; L. KENWORTHY, Auteur Article en page(s) : p.51-61 Langues : Anglais (eng) Mots-clés : Attention deficit hyperactivity disorder autism spectrum disorders functional MRI (fMRI) individual differences machine learning Index. décimale : PER Périodiques Résumé : BACKGROUND: Impairment of executive function (EF), the goal-directed regulation of thoughts, actions, and emotions, drives negative outcomes and is common across neurodevelopmental disorders including attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). A primary challenge to its amelioration is heterogeneity in symptom expression within and across disorders. Parsing this heterogeneity is necessary to attain diagnostic precision, a goal of the NIMH Research Domain Criteria Initiative. We aimed to identify transdiagnostic subtypes of EF that span the normal to impaired spectrum and establish their predictive and neurobiological validity. METHODS: Community detection was applied to clinical parent-report measures in 8-14-year-old children with and without ADHD and ASD from two independent cohorts (discovery N = 320; replication N = 692) to identify subgroups with distinct behavioral profiles. Support vector machine (SVM) classification was used to predict subgroup membership of unseen cases. Preliminary neurobiological validation was obtained with existing functional magnetic resonance imaging (fMRI) data on a subsample (N = 84) by testing hypotheses about sensitivity of EF subgroups versus DSM categories. RESULTS: We observed three transdiagnostic EF subtypes characterized by behavioral profiles that were defined by relative weakness in: (a) flexibility and emotion regulation; (b) inhibition; and (c) working memory, organization, and planning. The same tripartite structure was also present in the typically developing children. SVM trained on the discovery sample and tested on the replication sample classified subgroup membership with 77.0% accuracy. Split-half SVM classification on the combined sample (N = 1,012) yielded 88.9% accuracy (this SVM is available for public use). As hypothesized, frontal-parietal engagement was better distinguished by EF subtype than DSM diagnosis and the subgroup characterized with inflexibility failed to modulate right IPL activation in response to increased executive demands. CONCLUSIONS: The observed transdiagnostic subtypes refine current diagnostic nosology and augment clinical decision-making for personalizing treatment of executive dysfunction in children. En ligne : http://dx.doi.org/10.1111/jcpp.13114 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413
in Journal of Child Psychology and Psychiatry > 61-1 (January 2020) . - p.51-61[article] Data-driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders [Texte imprimé et/ou numérique] / C. J. VAIDYA, Auteur ; X. YOU, Auteur ; S. MOSTOFSKY, Auteur ; F. PEREIRA, Auteur ; M. M. BERL, Auteur ; L. KENWORTHY, Auteur . - p.51-61.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-1 (January 2020) . - p.51-61
Mots-clés : Attention deficit hyperactivity disorder autism spectrum disorders functional MRI (fMRI) individual differences machine learning Index. décimale : PER Périodiques Résumé : BACKGROUND: Impairment of executive function (EF), the goal-directed regulation of thoughts, actions, and emotions, drives negative outcomes and is common across neurodevelopmental disorders including attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). A primary challenge to its amelioration is heterogeneity in symptom expression within and across disorders. Parsing this heterogeneity is necessary to attain diagnostic precision, a goal of the NIMH Research Domain Criteria Initiative. We aimed to identify transdiagnostic subtypes of EF that span the normal to impaired spectrum and establish their predictive and neurobiological validity. METHODS: Community detection was applied to clinical parent-report measures in 8-14-year-old children with and without ADHD and ASD from two independent cohorts (discovery N = 320; replication N = 692) to identify subgroups with distinct behavioral profiles. Support vector machine (SVM) classification was used to predict subgroup membership of unseen cases. Preliminary neurobiological validation was obtained with existing functional magnetic resonance imaging (fMRI) data on a subsample (N = 84) by testing hypotheses about sensitivity of EF subgroups versus DSM categories. RESULTS: We observed three transdiagnostic EF subtypes characterized by behavioral profiles that were defined by relative weakness in: (a) flexibility and emotion regulation; (b) inhibition; and (c) working memory, organization, and planning. The same tripartite structure was also present in the typically developing children. SVM trained on the discovery sample and tested on the replication sample classified subgroup membership with 77.0% accuracy. Split-half SVM classification on the combined sample (N = 1,012) yielded 88.9% accuracy (this SVM is available for public use). As hypothesized, frontal-parietal engagement was better distinguished by EF subtype than DSM diagnosis and the subgroup characterized with inflexibility failed to modulate right IPL activation in response to increased executive demands. CONCLUSIONS: The observed transdiagnostic subtypes refine current diagnostic nosology and augment clinical decision-making for personalizing treatment of executive dysfunction in children. En ligne : http://dx.doi.org/10.1111/jcpp.13114 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413 Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study / Tiffany C. HO in Journal of Child Psychology and Psychiatry, 63-12 (December 2022)
[article]
Titre : Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study Type de document : Texte imprimé et/ou numérique Auteurs : Tiffany C. HO, Auteur ; Rutvik SHAH, Auteur ; Jyoti MISHRA, Auteur ; April C. MAY, Auteur ; Susan F. TAPERT, Auteur Article en page(s) : p.1523-1533 Langues : Anglais (eng) Mots-clés : Child Adolescent Humans Depression/psychology Magnetic Resonance Imaging/methods Family Conflict Brain/diagnostic imaging Cognition ABCD Study Adolescence depression functional MRI (fMRI) sleep Index. décimale : PER Périodiques Résumé : BACKGROUND: While identifying risk factors for adolescent depression is critical for early prevention and intervention, most studies have sought to understand the role of isolated factors rather than across a broad set of factors. Here, we sought to examine multi-level factors that maximize the prediction of depression symptoms in US children participating in the Adolescent Brain and Cognitive Development (ABCD) study. METHODS: A total of 7,995 participants from ABCD (version 3.0 release) provided complete data at baseline and 1-year follow-up data. Depression symptoms were measured with the Child Behavior Checklist. Predictive features included child demographic, environmental, and structural and resting-state fMRI variables, parental depression history and demographic characteristics. We used linear (elastic net regression, EN) and non-linear (gradient-boosted trees, GBT) predictive models to identify which set of features maximized prediction of depression symptoms at baseline and, separately, at 1-year follow-up. RESULTS: Both linear and non-linear models achieved comparable results for predicting baseline (EN: MAE=3.757; R(2) =0.156; GBT: MAE=3.761; R(2) =0.147) and 1-year follow-up (EN: MAE=4.255; R(2) =0.103; GBT: MAE=4.262; R(2) =0.089) depression. Parental history of depression, greater family conflict, and shorter child sleep duration were among the top predictors of concurrent and future child depression symptoms across both models. Although resting-state fMRI features were relatively weaker predictors, functional connectivity of the caudate was consistently the strongest neural feature associated with depression symptoms at both timepoints. CONCLUSIONS: Consistent with prior research, parental mental health, family environment, and child sleep quality are important risk factors for youth depression. Functional connectivity of the caudate is a relatively weaker predictor of depression symptoms but may represent a biomarker for depression risk. En ligne : http://dx.doi.org/10.1111/jcpp.13608 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490
in Journal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1523-1533[article] Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study [Texte imprimé et/ou numérique] / Tiffany C. HO, Auteur ; Rutvik SHAH, Auteur ; Jyoti MISHRA, Auteur ; April C. MAY, Auteur ; Susan F. TAPERT, Auteur . - p.1523-1533.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1523-1533
Mots-clés : Child Adolescent Humans Depression/psychology Magnetic Resonance Imaging/methods Family Conflict Brain/diagnostic imaging Cognition ABCD Study Adolescence depression functional MRI (fMRI) sleep Index. décimale : PER Périodiques Résumé : BACKGROUND: While identifying risk factors for adolescent depression is critical for early prevention and intervention, most studies have sought to understand the role of isolated factors rather than across a broad set of factors. Here, we sought to examine multi-level factors that maximize the prediction of depression symptoms in US children participating in the Adolescent Brain and Cognitive Development (ABCD) study. METHODS: A total of 7,995 participants from ABCD (version 3.0 release) provided complete data at baseline and 1-year follow-up data. Depression symptoms were measured with the Child Behavior Checklist. Predictive features included child demographic, environmental, and structural and resting-state fMRI variables, parental depression history and demographic characteristics. We used linear (elastic net regression, EN) and non-linear (gradient-boosted trees, GBT) predictive models to identify which set of features maximized prediction of depression symptoms at baseline and, separately, at 1-year follow-up. RESULTS: Both linear and non-linear models achieved comparable results for predicting baseline (EN: MAE=3.757; R(2) =0.156; GBT: MAE=3.761; R(2) =0.147) and 1-year follow-up (EN: MAE=4.255; R(2) =0.103; GBT: MAE=4.262; R(2) =0.089) depression. Parental history of depression, greater family conflict, and shorter child sleep duration were among the top predictors of concurrent and future child depression symptoms across both models. Although resting-state fMRI features were relatively weaker predictors, functional connectivity of the caudate was consistently the strongest neural feature associated with depression symptoms at both timepoints. CONCLUSIONS: Consistent with prior research, parental mental health, family environment, and child sleep quality are important risk factors for youth depression. Functional connectivity of the caudate is a relatively weaker predictor of depression symptoms but may represent a biomarker for depression risk. En ligne : http://dx.doi.org/10.1111/jcpp.13608 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 Reward- and threat-related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil / Leehyun YOON in Journal of Child Psychology and Psychiatry, 63-5 (May 2022)
[article]
Titre : Reward- and threat-related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil Type de document : Texte imprimé et/ou numérique Auteurs : Leehyun YOON, Auteur ; Fernanda ROHRSETZER, Auteur ; Lucas BATTEL, Auteur ; Mauricio ANÉS, Auteur ; Pedro H. MANFRO, Auteur ; Luis A. ROHDE, Auteur ; Anna VIDUANI, Auteur ; Zuzanna ZAJKOWSKA, Auteur ; Valeria MONDELLI, Auteur ; Christian KIELING, Auteur ; Johnna R. SWARTZ, Auteur Article en page(s) : p.579-590 Langues : Anglais (eng) Mots-clés : Adolescent Brain/diagnostic imaging Brain Mapping/methods Brazil/epidemiology Depression/epidemiology Humans Magnetic Resonance Imaging/methods Reward Risk Factors Depression adolescence functional MRI (fMRI) Index. décimale : PER Périodiques Résumé : BACKGROUND: Neuroimaging studies on adolescents at risk for depression have relied on a single risk factor and focused on adolescents in high-income countries. Using a composite risk score, this study aims to examine neural activity and connectivity associated with risk and presence of depression in adolescents in Brazil. METHODS: Depression risk was defined with the Identifying Depression Early in Adolescence Risk Score (IDEA-RS), calculated using a prognostic model that included 11 socio-demographic risk factors. Adolescents recruited from schools in Porto Alegre were classified into a low-risk (i.e., low IDEA-RS and no lifetime depression), high-risk (i.e., high IDEA-RS and no lifetime depression), or clinically depressed group (i.e., high IDEA-RS and depression diagnosis). One hundred fifty adolescents underwent a functional MRI scan while completing a reward-related gambling and a threat-related face-matching task. We compared group differences in activity and connectivity of the ventral striatum (VS) and amygdala during the gambling and face-matching tasks, respectively, and group differences in whole-brain neural activity. RESULTS: Although there was no group difference in reward-related VS or threat-related amygdala activity, the depressed group showed elevated VS activity to punishment relative to high-risk adolescents. The whole-brain analysis found reduced reward-related activity in the lateral prefrontal cortex of patients and high-risk adolescents compared with low-risk adolescents. Compared with low-risk adolescents, high-risk and depressed adolescents showed reduced threat-related left amygdala connectivity with thalamus, superior temporal gyrus, inferior parietal gyrus, precentral gyrus, and supplementary motor area. CONCLUSIONS: We identified neural correlates associated with risk and presence of depression in a well-characterized sample of adolescents. These findings enhance knowledge of the neurobiological underpinnings of risk and presence of depression in Brazil. Future longitudinal studies are needed to examine whether the observed neural patterns of high-risk adolescents predict the development of depression. En ligne : http://dx.doi.org/10.1111/jcpp.13496 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476
in Journal of Child Psychology and Psychiatry > 63-5 (May 2022) . - p.579-590[article] Reward- and threat-related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil [Texte imprimé et/ou numérique] / Leehyun YOON, Auteur ; Fernanda ROHRSETZER, Auteur ; Lucas BATTEL, Auteur ; Mauricio ANÉS, Auteur ; Pedro H. MANFRO, Auteur ; Luis A. ROHDE, Auteur ; Anna VIDUANI, Auteur ; Zuzanna ZAJKOWSKA, Auteur ; Valeria MONDELLI, Auteur ; Christian KIELING, Auteur ; Johnna R. SWARTZ, Auteur . - p.579-590.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-5 (May 2022) . - p.579-590
Mots-clés : Adolescent Brain/diagnostic imaging Brain Mapping/methods Brazil/epidemiology Depression/epidemiology Humans Magnetic Resonance Imaging/methods Reward Risk Factors Depression adolescence functional MRI (fMRI) Index. décimale : PER Périodiques Résumé : BACKGROUND: Neuroimaging studies on adolescents at risk for depression have relied on a single risk factor and focused on adolescents in high-income countries. Using a composite risk score, this study aims to examine neural activity and connectivity associated with risk and presence of depression in adolescents in Brazil. METHODS: Depression risk was defined with the Identifying Depression Early in Adolescence Risk Score (IDEA-RS), calculated using a prognostic model that included 11 socio-demographic risk factors. Adolescents recruited from schools in Porto Alegre were classified into a low-risk (i.e., low IDEA-RS and no lifetime depression), high-risk (i.e., high IDEA-RS and no lifetime depression), or clinically depressed group (i.e., high IDEA-RS and depression diagnosis). One hundred fifty adolescents underwent a functional MRI scan while completing a reward-related gambling and a threat-related face-matching task. We compared group differences in activity and connectivity of the ventral striatum (VS) and amygdala during the gambling and face-matching tasks, respectively, and group differences in whole-brain neural activity. RESULTS: Although there was no group difference in reward-related VS or threat-related amygdala activity, the depressed group showed elevated VS activity to punishment relative to high-risk adolescents. The whole-brain analysis found reduced reward-related activity in the lateral prefrontal cortex of patients and high-risk adolescents compared with low-risk adolescents. Compared with low-risk adolescents, high-risk and depressed adolescents showed reduced threat-related left amygdala connectivity with thalamus, superior temporal gyrus, inferior parietal gyrus, precentral gyrus, and supplementary motor area. CONCLUSIONS: We identified neural correlates associated with risk and presence of depression in a well-characterized sample of adolescents. These findings enhance knowledge of the neurobiological underpinnings of risk and presence of depression in Brazil. Future longitudinal studies are needed to examine whether the observed neural patterns of high-risk adolescents predict the development of depression. En ligne : http://dx.doi.org/10.1111/jcpp.13496 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies / Cristiano COSTA in Journal of Child Psychology and Psychiatry, 62-12 (December 2021)
[article]
Titre : Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies Type de document : Texte imprimé et/ou numérique Auteurs : Cristiano COSTA, Auteur ; I. A. CRISTEA, Auteur ; E. DAL BÒ, Auteur ; C. MELLONI, Auteur ; C. GENTILI, Auteur Article en page(s) : p.1412-1424 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging Brain/diagnostic imaging Brain Mapping Humans Likelihood Functions Magnetic Resonance Imaging Neuroimaging Functional MRI (fMRI) autism spectrum disorders face perception meta-analysis Index. décimale : PER Périodiques Résumé : BACKGROUND: Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS: We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS: Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS: Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results. En ligne : http://dx.doi.org/10.1111/jcpp.13412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-12 (December 2021) . - p.1412-1424[article] Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies [Texte imprimé et/ou numérique] / Cristiano COSTA, Auteur ; I. A. CRISTEA, Auteur ; E. DAL BÒ, Auteur ; C. MELLONI, Auteur ; C. GENTILI, Auteur . - p.1412-1424.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-12 (December 2021) . - p.1412-1424
Mots-clés : Autism Spectrum Disorder/diagnostic imaging Brain/diagnostic imaging Brain Mapping Humans Likelihood Functions Magnetic Resonance Imaging Neuroimaging Functional MRI (fMRI) autism spectrum disorders face perception meta-analysis Index. décimale : PER Périodiques Résumé : BACKGROUND: Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS: We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS: Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS: Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results. En ligne : http://dx.doi.org/10.1111/jcpp.13412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456