Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes / T. LI in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1140-1149 Titre : Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes Type de document : Texte imprimé et/ou numérique Auteurs : T. LI, Auteur ; D. VAN ROOIJ, Auteur ; N. ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; M. HOOGMAN, Auteur ; Alejandro ARIAS-VASQUEZ, Auteur ; B. FRANKE, Auteur Article en page(s) : p.1140-1149 Langues : Anglais (eng) Mots-clés : Adult  Attention Deficit Disorder with Hyperactivity/diagnostic imaging/epidemiology  Brain/diagnostic imaging  Case-Control Studies  Female  Humans  Magnetic Resonance Imaging  Male  Thalamus/diagnostic imaging  Adhd  community detection  effect sizes  neuroanatomic heterogeneity  subcortical volume Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder. Neuroanatomic heterogeneity limits our understanding of ADHD's etiology. This study aimed to parse heterogeneity of ADHD and to determine whether patient subgroups could be discerned based on subcortical brain volumes. METHODS: Using the large ENIGMA-ADHD Working Group dataset, four subsamples of 993 boys with and without ADHD and to subsamples of 653 adult men, 400 girls, and 447 women were included in analyses. We applied exploratory factor analysis (EFA) to seven subcortical volumes in order to constrain the complexity of the input variables and ensure more stable clustering results. Factor scores derived from the EFA were used to build networks. A community detection (CD) algorithm clustered participants into subgroups based on the networks. RESULTS: Exploratory factor analysis revealed three factors (basal ganglia, limbic system, and thalamus) in boys and men with and without ADHD. Factor structures for girls and women differed from those in males. Given sample size considerations, we concentrated subsequent analyses on males. Male participants could be separated into four communities, of which one was absent in healthy men. Significant case-control differences of subcortical volumes were observed within communities in boys, often with stronger effect sizes compared to the entire sample. As in the entire sample, none were observed in men. Affected men in two of the communities presented comorbidities more frequently than those in other communities. There were no significant differences in ADHD symptom severity, IQ, and medication use between communities in either boys or men. CONCLUSIONS: Our results indicate that neuroanatomic heterogeneity in subcortical volumes exists, irrespective of ADHD diagnosis. Effect sizes of case-control differences appear more pronounced at least in some of the subgroups. En ligne : http://dx.doi.org/10.1111/jcpp.13384 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes [Texte imprimé et/ou numérique] / T. LI, Auteur ; D. VAN ROOIJ, Auteur ; N. ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; M. HOOGMAN, Auteur ; Alejandro ARIAS-VASQUEZ, Auteur ; B. FRANKE, Auteur . - p.1140-1149. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1140-1149 Mots-clés : Adult  Attention Deficit Disorder with Hyperactivity/diagnostic imaging/epidemiology  Brain/diagnostic imaging  Case-Control Studies  Female  Humans  Magnetic Resonance Imaging  Male  Thalamus/diagnostic imaging  Adhd  community detection  effect sizes  neuroanatomic heterogeneity  subcortical volume Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder. Neuroanatomic heterogeneity limits our understanding of ADHD's etiology. This study aimed to parse heterogeneity of ADHD and to determine whether patient subgroups could be discerned based on subcortical brain volumes. METHODS: Using the large ENIGMA-ADHD Working Group dataset, four subsamples of 993 boys with and without ADHD and to subsamples of 653 adult men, 400 girls, and 447 women were included in analyses. We applied exploratory factor analysis (EFA) to seven subcortical volumes in order to constrain the complexity of the input variables and ensure more stable clustering results. Factor scores derived from the EFA were used to build networks. A community detection (CD) algorithm clustered participants into subgroups based on the networks. RESULTS: Exploratory factor analysis revealed three factors (basal ganglia, limbic system, and thalamus) in boys and men with and without ADHD. Factor structures for girls and women differed from those in males. Given sample size considerations, we concentrated subsequent analyses on males. Male participants could be separated into four communities, of which one was absent in healthy men. Significant case-control differences of subcortical volumes were observed within communities in boys, often with stronger effect sizes compared to the entire sample. As in the entire sample, none were observed in men. Affected men in two of the communities presented comorbidities more frequently than those in other communities. There were no significant differences in ADHD symptom severity, IQ, and medication use between communities in either boys or men. CONCLUSIONS: Our results indicate that neuroanatomic heterogeneity in subcortical volumes exists, irrespective of ADHD diagnosis. Effect sizes of case-control differences appear more pronounced at least in some of the subgroups. En ligne : http://dx.doi.org/10.1111/jcpp.13384 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Dissecting the heterogeneous subcortical brain volume of autism spectrum disorder using community detection / T. LI in Autism Research, 15-1 (January 2022)  

Public ISBD [article]  inAutism Research > 15-1 (January 2022) . - p.42-55 Titre : Dissecting the heterogeneous subcortical brain volume of autism spectrum disorder using community detection Type de document : Texte imprimé et/ou numérique Auteurs : T. LI, Auteur ; M. HOOGMAN, Auteur ; N. ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; A. A. VASQUEZ, Auteur ; B. FRANKE, Auteur ; D. VAN ROOIJ, Auteur Article en page(s) : p.42-55 Langues : Anglais (eng) Mots-clés : Adolescent  Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Case-Control Studies  Humans  Magnetic Resonance Imaging  Male  Neuroimaging  Asd  community detection  neuroanatomical heterogeneity  subcortical volume Index. décimale : PER Périodiques Résumé : Structural brain alterations in autism spectrum disorder (ASD) are heterogeneous, with limited effect sizes overall. In this study, we aimed to identify subgroups in ASD, based on neuroanatomical profiles; we hypothesized that the effect sizes for case/control differences would be increased in the newly defined subgroups. Analyzing a large data set from the ENIGMA-ASD working group (n =?2661), we applied exploratory factor analysis (EFA) to seven subcortical volumes of individuals with and without ASD to uncover the underlying organization of subcortical structures. Based on earlier findings and data availability, we focused on three age groups: boys (<=14?years), male adolescents (15-22?years), and adult men (> = 22?years). The resulting factor scores were used in a community detection (CD) analysis to cluster participants into subgroups. Three factors were found in each subsample; the factor structure in adult men differed from that in boys and male adolescents. From these factors, CD uncovered four distinct communities in boys and three communities in adolescents and adult men, irrespective of ASD diagnosis. The effect sizes for case/control comparisons were more pronounced than in the combined sample, for some communities. A significant group difference in ADOS scores between communities was observed in boys and male adolescents with ASD. We succeeded in stratifying participants into more homogeneous subgroups based on subcortical brain volumes. This stratification enhanced our ability to observe case/control differences in subcortical brain volumes in ASD, and may help to explain the heterogeneity of previous findings in ASD. LAY SUMMARY: Structural brain alterations in ASD are heterogeneous, with overall limited effect sizes. Here we aimed to identify subgroups in ASD based on neuroimaging measures. We tested whether the effect sizes for case/control differences would be increased in the newly defined subgroups. Based on neuroanatomical profiles, we succeeded in stratifying our participants into more homogeneous subgroups. The effect sizes of case/control differences were more pronounced in some subgroups than those in the whole sample. En ligne : http://dx.doi.org/10.1002/aur.2627 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Dissecting the heterogeneous subcortical brain volume of autism spectrum disorder using community detection [Texte imprimé et/ou numérique] / T. LI, Auteur ; M. HOOGMAN, Auteur ; N. ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; A. A. VASQUEZ, Auteur ; B. FRANKE, Auteur ; D. VAN ROOIJ, Auteur . - p.42-55. Langues : Anglais (eng) in Autism Research > 15-1 (January 2022) . - p.42-55 Mots-clés : Adolescent  Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Case-Control Studies  Humans  Magnetic Resonance Imaging  Male  Neuroimaging  Asd  community detection  neuroanatomical heterogeneity  subcortical volume Index. décimale : PER Périodiques Résumé : Structural brain alterations in autism spectrum disorder (ASD) are heterogeneous, with limited effect sizes overall. In this study, we aimed to identify subgroups in ASD, based on neuroanatomical profiles; we hypothesized that the effect sizes for case/control differences would be increased in the newly defined subgroups. Analyzing a large data set from the ENIGMA-ASD working group (n =?2661), we applied exploratory factor analysis (EFA) to seven subcortical volumes of individuals with and without ASD to uncover the underlying organization of subcortical structures. Based on earlier findings and data availability, we focused on three age groups: boys (<=14?years), male adolescents (15-22?years), and adult men (> = 22?years). The resulting factor scores were used in a community detection (CD) analysis to cluster participants into subgroups. Three factors were found in each subsample; the factor structure in adult men differed from that in boys and male adolescents. From these factors, CD uncovered four distinct communities in boys and three communities in adolescents and adult men, irrespective of ASD diagnosis. The effect sizes for case/control comparisons were more pronounced than in the combined sample, for some communities. A significant group difference in ADOS scores between communities was observed in boys and male adolescents with ASD. We succeeded in stratifying participants into more homogeneous subgroups based on subcortical brain volumes. This stratification enhanced our ability to observe case/control differences in subcortical brain volumes in ASD, and may help to explain the heterogeneity of previous findings in ASD. LAY SUMMARY: Structural brain alterations in ASD are heterogeneous, with overall limited effect sizes. Here we aimed to identify subgroups in ASD based on neuroimaging measures. We tested whether the effect sizes for case/control differences would be increased in the newly defined subgroups. Based on neuroanatomical profiles, we succeeded in stratifying our participants into more homogeneous subgroups. The effect sizes of case/control differences were more pronounced in some subgroups than those in the whole sample. En ligne : http://dx.doi.org/10.1002/aur.2627 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

A multicohort, longitudinal study of cerebellar development in attention deficit hyperactivity disorder / P. SHAW in Journal of Child Psychology and Psychiatry, 59-10 (October 2018)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 59-10 (October 2018) . - p.1114-1123 Titre : A multicohort, longitudinal study of cerebellar development in attention deficit hyperactivity disorder Type de document : Texte imprimé et/ou numérique Auteurs : P. SHAW, Auteur ; A. ISHII-TAKAHASHI, Auteur ; M. T. PARK, Auteur ; G. A. DEVENYI, Auteur ; C. ZIBMAN, Auteur ; S. KASPAREK, Auteur ; G. SUDRE, Auteur ; A. MANGALMURTI, Auteur ; M. HOOGMAN, Auteur ; H. TIEMEIER, Auteur ; Georg G. VON POLIER, Auteur ; D. SHOOK, Auteur ; R. MUETZEL, Auteur ; M. M. CHAKRAVARTY, Auteur ; K. KONRAD, Auteur ; S. DURSTON, Auteur ; T. WHITE, Auteur Article en page(s) : p.1114-1123 Langues : Anglais (eng) Mots-clés : Cerebellum attention deficit hyperactivity disorder growth meta-analysis neuroanatomy white matter Index. décimale : PER Périodiques Résumé : BACKGROUND: The cerebellum supports many cognitive functions disrupted in attention deficit hyperactivity disorder (ADHD). Prior neuroanatomic studies have been often limited by small sample sizes, inconsistent findings, and a reliance on cross-sectional data, limiting inferences about cerebellar development. Here, we conduct a multicohort study using longitudinal data, to characterize cerebellar development. METHODS: Growth trajectories of the cerebellar vermis, hemispheres and white matter were estimated using piecewise linear regression from 1,656 youth; of whom 63% had longitudinal data, totaling 2,914 scans. Four cohorts participated, all contained childhood data (age 4-12 years); two had adolescent data (12-25 years). Growth parameters were combined using random-effects meta-analysis. RESULTS: Diagnostic differences in growth were confined to the corpus medullare (cerebellar white matter). Here, the ADHD group showed slower growth in early childhood compared to the typically developing group (left corpus medullare z = 2.49, p = .01; right z = 2.03, p = .04). This reversed in late childhood, with faster growth in ADHD in the left corpus medullare (z = 2.06, p = .04). Findings held when gender, intelligence, comorbidity, and psychostimulant medication were considered. DISCUSSION: Across four independent cohorts, containing predominately longitudinal data, we found diagnostic differences in the growth of cerebellar white matter. In ADHD, slower white matter growth in early childhood was followed by faster growth in late childhood. The findings are consistent with the concept of ADHD as a disorder of the brain's structural connections, formed partly by developing cortico-cerebellar white matter tracts. En ligne : http://dx.doi.org/10.1111/jcpp.12920 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 [article] A multicohort, longitudinal study of cerebellar development in attention deficit hyperactivity disorder [Texte imprimé et/ou numérique] / P. SHAW, Auteur ; A. ISHII-TAKAHASHI, Auteur ; M. T. PARK, Auteur ; G. A. DEVENYI, Auteur ; C. ZIBMAN, Auteur ; S. KASPAREK, Auteur ; G. SUDRE, Auteur ; A. MANGALMURTI, Auteur ; M. HOOGMAN, Auteur ; H. TIEMEIER, Auteur ; Georg G. VON POLIER, Auteur ; D. SHOOK, Auteur ; R. MUETZEL, Auteur ; M. M. CHAKRAVARTY, Auteur ; K. KONRAD, Auteur ; S. DURSTON, Auteur ; T. WHITE, Auteur . - p.1114-1123. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 59-10 (October 2018) . - p.1114-1123 Mots-clés : Cerebellum attention deficit hyperactivity disorder growth meta-analysis neuroanatomy white matter Index. décimale : PER Périodiques Résumé : BACKGROUND: The cerebellum supports many cognitive functions disrupted in attention deficit hyperactivity disorder (ADHD). Prior neuroanatomic studies have been often limited by small sample sizes, inconsistent findings, and a reliance on cross-sectional data, limiting inferences about cerebellar development. Here, we conduct a multicohort study using longitudinal data, to characterize cerebellar development. METHODS: Growth trajectories of the cerebellar vermis, hemispheres and white matter were estimated using piecewise linear regression from 1,656 youth; of whom 63% had longitudinal data, totaling 2,914 scans. Four cohorts participated, all contained childhood data (age 4-12 years); two had adolescent data (12-25 years). Growth parameters were combined using random-effects meta-analysis. RESULTS: Diagnostic differences in growth were confined to the corpus medullare (cerebellar white matter). Here, the ADHD group showed slower growth in early childhood compared to the typically developing group (left corpus medullare z = 2.49, p = .01; right z = 2.03, p = .04). This reversed in late childhood, with faster growth in ADHD in the left corpus medullare (z = 2.06, p = .04). Findings held when gender, intelligence, comorbidity, and psychostimulant medication were considered. DISCUSSION: Across four independent cohorts, containing predominately longitudinal data, we found diagnostic differences in the growth of cerebellar white matter. In ADHD, slower white matter growth in early childhood was followed by faster growth in late childhood. The findings are consistent with the concept of ADHD as a disorder of the brain's structural connections, formed partly by developing cortico-cerebellar white matter tracts. En ligne : http://dx.doi.org/10.1111/jcpp.12920 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369

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