Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets / Merel C. POSTEMA in Journal of Child Psychology and Psychiatry, 62-10 (October 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-10 (October 2021) . - p.1202-1219 Titre : Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets Type de document : texte imprimé Auteurs : Merel C. POSTEMA, Auteur ; Martine HOOGMAN, Auteur ; Sara AMBROSINO, Auteur ; Philip ASHERSON, Auteur ; Tobias BANASCHEWSKI, Auteur ; Cibele E. BANDEIRA, Auteur ; Alexandr BARANOV, Auteur ; Claiton H.D. BAU, Auteur ; Sarah BAUMEISTER, Auteur ; Ramona BAUR-STREUBEL, Auteur ; Mark A. BELLGROVE, Auteur ; Joseph BIEDERMAN, Auteur ; Janita B. BRALTEN, Auteur ; Daniel BRANDEIS, Auteur ; Silvia BREM, Auteur ; Jan K. BUITELAAR, Auteur ; Geraldo F. BUSATTO, Auteur ; Francisco Xavier CASTELLANOS, Auteur ; Mara CERCIGNANI, Auteur ; Tiffany M. CHAIM-AVANCINI, Auteur ; Kaylita C. CHANTILUKE, Auteur ; Anastasia CHRISTAKOU, Auteur ; David COGHILL, Auteur ; Annette CONZELMANN, Auteur ; Ana I. CUBILLO, Auteur ; Renata B. CUPERTINO, Auteur ; Patrick DE ZEEUW, Auteur ; Alysa E. DOYLE, Auteur ; Sarah DURSTON, Auteur ; Eric A. EARL, Auteur ; Jeffery N. EPSTEIN, Auteur ; Thomas ETHOFER, Auteur ; Damien A. FAIR, Auteur ; Andreas J. FALLGATTER, Auteur ; Stephen V. FARAONE, Auteur ; Thomas FRODL, Auteur ; Matt C. GABEL, Auteur ; Tinatin GOGBERASHVILI, Auteur ; Eugenio H. GREVET, Auteur ; Jan HAAVIK, Auteur ; Neil A. HARRISON, Auteur ; Catharina A. HARTMAN, Auteur ; Dirk J. HESLENFELD, Auteur ; Pieter J. HOEKSTRA, Auteur ; Sarah HOHMANN, Auteur ; Marie F. HØVIK, Auteur ; Terry L. JERNIGAN, Auteur ; Bernd KARDATZKI, Auteur ; Georgii KARKASHADZE, Auteur ; Clare KELLY, Auteur ; Gregor KOHLS, Auteur ; Kerstin KONRAD, Auteur ; Jonna KUNTSI, Auteur ; Luisa LÁZARO, Auteur ; Sara LERA-MIGUEL, Auteur ; Klaus-Peter LESCH, Auteur ; Mario R. LOUZA, Auteur ; Astri J. LUNDERVOLD, Auteur ; Charles B MALPAS, Auteur ; Paulo MATTOS, Auteur ; Hazel MCCARTHY, Auteur ; Leyla NAMAZOVA-BARANOVA, Auteur ; Rosa NICOLAU, Auteur ; Joel T. NIGG, Auteur ; Stephanie NOVOTNY, Auteur ; Eileen OBERWELLAND WEISS, Auteur ; Ruth L. O'GORMAN TUURA, Auteur ; Jaap OOSTERLAAN, Auteur ; Bob ORANJE, Auteur ; Yannis PALOYELIS, Auteur ; Paul PAULI, Auteur ; Felipe A. PICON, Auteur ; Kerstin J. PLESSEN, Auteur ; Josep Antoni RAMOS-QUIROGA, Auteur ; Andreas REIF, Auteur ; Liesbeth RENEMAN, Auteur ; Pedro G.P. ROSA, Auteur ; Katya RUBIA, Auteur ; Anouk SCHRANTEE, Auteur ; Lizanne SCHWEREN, Auteur ; Jochen SEITZ, Auteur ; Philip SHAW, Auteur ; Tim J. SILK, Auteur ; Norbert SKOKAUSKAS, Auteur ; Juan C. SOLIVA VILA, Auteur ; Michael C. STEVENS, Auteur ; Gustavo SUDRE, Auteur ; Leanne TAMM, Auteur ; Fernanda TOVAR-MOLL, Auteur ; Theo G.M. VAN ERP, Auteur ; Alasdair VANCE, Auteur ; Oscar VILARROYA, Auteur ; Yolanda VIVES-GILABERT, Auteur ; Georg G. VON POLIER, Auteur ; Susanne WALITZA, Auteur ; Yuliya N. YONCHEVA, Auteur ; Marcus V. ZANETTI, Auteur ; Georg C. ZIEGLER, Auteur ; David C. GLAHN, Auteur ; Neda JAHANSHAD, Auteur Année de publication : 2021 Article en page(s) : p.1202-1219 Langues : Anglais (eng) Mots-clés : Attention-deficit  brain asymmetry  brain laterality  hyperactivity disorder  large-scale data  structural MRI Index. décimale : PER Périodiques Résumé : Objective Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. Methods We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. Results There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen’s d from −0.18 to 0.18) and would not survive study-wide correction for multiple testing. Conclusion Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait. En ligne : https://doi.org/10.1111/jcpp.13396 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=462 [article] Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets [texte imprimé] / Merel C. POSTEMA, Auteur ; Martine HOOGMAN, Auteur ; Sara AMBROSINO, Auteur ; Philip ASHERSON, Auteur ; Tobias BANASCHEWSKI, Auteur ; Cibele E. BANDEIRA, Auteur ; Alexandr BARANOV, Auteur ; Claiton H.D. BAU, Auteur ; Sarah BAUMEISTER, Auteur ; Ramona BAUR-STREUBEL, Auteur ; Mark A. BELLGROVE, Auteur ; Joseph BIEDERMAN, Auteur ; Janita B. BRALTEN, Auteur ; Daniel BRANDEIS, Auteur ; Silvia BREM, Auteur ; Jan K. BUITELAAR, Auteur ; Geraldo F. BUSATTO, Auteur ; Francisco Xavier CASTELLANOS, Auteur ; Mara CERCIGNANI, Auteur ; Tiffany M. CHAIM-AVANCINI, Auteur ; Kaylita C. CHANTILUKE, Auteur ; Anastasia CHRISTAKOU, Auteur ; David COGHILL, Auteur ; Annette CONZELMANN, Auteur ; Ana I. CUBILLO, Auteur ; Renata B. CUPERTINO, Auteur ; Patrick DE ZEEUW, Auteur ; Alysa E. DOYLE, Auteur ; Sarah DURSTON, Auteur ; Eric A. EARL, Auteur ; Jeffery N. EPSTEIN, Auteur ; Thomas ETHOFER, Auteur ; Damien A. FAIR, Auteur ; Andreas J. FALLGATTER, Auteur ; Stephen V. FARAONE, Auteur ; Thomas FRODL, Auteur ; Matt C. GABEL, Auteur ; Tinatin GOGBERASHVILI, Auteur ; Eugenio H. GREVET, Auteur ; Jan HAAVIK, Auteur ; Neil A. HARRISON, Auteur ; Catharina A. HARTMAN, Auteur ; Dirk J. HESLENFELD, Auteur ; Pieter J. HOEKSTRA, Auteur ; Sarah HOHMANN, Auteur ; Marie F. HØVIK, Auteur ; Terry L. JERNIGAN, Auteur ; Bernd KARDATZKI, Auteur ; Georgii KARKASHADZE, Auteur ; Clare KELLY, Auteur ; Gregor KOHLS, Auteur ; Kerstin KONRAD, Auteur ; Jonna KUNTSI, Auteur ; Luisa LÁZARO, Auteur ; Sara LERA-MIGUEL, Auteur ; Klaus-Peter LESCH, Auteur ; Mario R. LOUZA, Auteur ; Astri J. LUNDERVOLD, Auteur ; Charles B MALPAS, Auteur ; Paulo MATTOS, Auteur ; Hazel MCCARTHY, Auteur ; Leyla NAMAZOVA-BARANOVA, Auteur ; Rosa NICOLAU, Auteur ; Joel T. NIGG, Auteur ; Stephanie NOVOTNY, Auteur ; Eileen OBERWELLAND WEISS, Auteur ; Ruth L. O'GORMAN TUURA, Auteur ; Jaap OOSTERLAAN, Auteur ; Bob ORANJE, Auteur ; Yannis PALOYELIS, Auteur ; Paul PAULI, Auteur ; Felipe A. PICON, Auteur ; Kerstin J. PLESSEN, Auteur ; Josep Antoni RAMOS-QUIROGA, Auteur ; Andreas REIF, Auteur ; Liesbeth RENEMAN, Auteur ; Pedro G.P. ROSA, Auteur ; Katya RUBIA, Auteur ; Anouk SCHRANTEE, Auteur ; Lizanne SCHWEREN, Auteur ; Jochen SEITZ, Auteur ; Philip SHAW, Auteur ; Tim J. SILK, Auteur ; Norbert SKOKAUSKAS, Auteur ; Juan C. SOLIVA VILA, Auteur ; Michael C. STEVENS, Auteur ; Gustavo SUDRE, Auteur ; Leanne TAMM, Auteur ; Fernanda TOVAR-MOLL, Auteur ; Theo G.M. VAN ERP, Auteur ; Alasdair VANCE, Auteur ; Oscar VILARROYA, Auteur ; Yolanda VIVES-GILABERT, Auteur ; Georg G. VON POLIER, Auteur ; Susanne WALITZA, Auteur ; Yuliya N. YONCHEVA, Auteur ; Marcus V. ZANETTI, Auteur ; Georg C. ZIEGLER, Auteur ; David C. GLAHN, Auteur ; Neda JAHANSHAD, Auteur . - 2021 . - p.1202-1219. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-10 (October 2021) . - p.1202-1219 Mots-clés : Attention-deficit  brain asymmetry  brain laterality  hyperactivity disorder  large-scale data  structural MRI Index. décimale : PER Périodiques Résumé : Objective Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. Methods We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. Results There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen’s d from −0.18 to 0.18) and would not survive study-wide correction for multiple testing. Conclusion Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait. En ligne : https://doi.org/10.1111/jcpp.13396 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=462

Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes / Ting 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 Auteurs : Ting LI, Auteur ; Daan VAN ROOIJ, Auteur ; Nina ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; Martine HOOGMAN, Auteur ; Alejandro ARIAS-VASQUEZ, Auteur ; Barbara FRANKE, Auteur Année de publication : 2021 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] / Ting LI, Auteur ; Daan VAN ROOIJ, Auteur ; Nina ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; Martine HOOGMAN, Auteur ; Alejandro ARIAS-VASQUEZ, Auteur ; Barbara FRANKE, Auteur . - 2021 . - 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 / Ting 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 Auteurs : Ting LI, Auteur ; Martine HOOGMAN, Auteur ; Nina ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; Alejandro Arias VASQUEZ, Auteur ; Barbara FRANKE, Auteur ; Daan VAN ROOIJ, Auteur Année de publication : 2022 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] / Ting LI, Auteur ; Martine HOOGMAN, Auteur ; Nina ROTH MOTA, Auteur ; Jan K. BUITELAAR, Auteur ; Alejandro Arias VASQUEZ, Auteur ; Barbara FRANKE, Auteur ; Daan VAN ROOIJ, Auteur . - 2022 . - 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

Female-specific association of NOS1 genotype with white matter microstructure in ADHD patients and controls / Hanneke VAN EWIJK in Journal of Child Psychology and Psychiatry, 58-8 (August 2017)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 58-8 (August 2017) . - p.958-966 Titre : Female-specific association of NOS1 genotype with white matter microstructure in ADHD patients and controls Type de document : texte imprimé Auteurs : Hanneke VAN EWIJK, Auteur ; Janita B. BRALTEN, Auteur ; Esther D.A. VAN DUIN, Auteur ; Marina HAKOBJAN, Auteur ; Jan K. BUITELAAR, Auteur ; Dirk J. HESLENFELD, Auteur ; Pieter J. HOEKSTRA, Auteur ; Catharina A. HARTMAN, Auteur ; Martine HOOGMAN, Auteur ; Jaap OOSTERLAAN, Auteur ; Barbara FRANKE, Auteur Article en page(s) : p.958-966 Langues : Anglais (eng) Mots-clés : attention-deficit/hyperactivity disorder  NOS1  imaging genetics  diffusion tensor imaging Index. décimale : PER Périodiques Résumé : Background The nitric oxide synthase gene (NOS1) exon 1f (ex1f) VNTR is a known genetic risk factor for Attention-Deficit/Hyperactivity Disorder (ADHD), particularly in females. NOS1 plays an important role in neurite outgrowth and may thus influence brain development, specifically white matter (WM) microstructure, which is known to be altered in ADHD. The current study aimed to investigate whether NOS1 is associated with WM microstructure in (female) individuals with and without ADHD. Methods Diffusion Tensor Imaging (DTI) scans were collected from 187 participants with ADHD (33% female) and 103 controls (50% female), aged 8–26 years, and NOS1-ex1f VNTR genotype was determined. Whole-brain analyses were conducted for fractional anisotropy (FA) and mean diffusivity (MD) to examine associations between NOS1 and WM microstructure, including possible interactions with gender and diagnosis. Results Consistent with previous literature, NOS1-ex1f was associated with total ADHD and hyperactivity-impulsivity symptoms, but not inattention; this effect was independent of gender. NOS1-ex1f was also associated with MD values in several major WM tracts in females, but not males. In females, homozygosity for the short allele was linked to higher MD values than carriership of the long allele. MD values in these regions did not correlate with ADHD symptoms. Results were similar for participants with and without ADHD. Conclusions NOS1-ex1f VNTR is associated with WM microstructure in females in a large sample of participants with ADHD and healthy controls. Whether this association is part of a neurodevelopmental pathway from NOS1 to ADHD symptoms should be further investigated in future studies. En ligne : http://dx.doi.org/10.1111/jcpp.12742 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=317 [article] Female-specific association of NOS1 genotype with white matter microstructure in ADHD patients and controls [texte imprimé] / Hanneke VAN EWIJK, Auteur ; Janita B. BRALTEN, Auteur ; Esther D.A. VAN DUIN, Auteur ; Marina HAKOBJAN, Auteur ; Jan K. BUITELAAR, Auteur ; Dirk J. HESLENFELD, Auteur ; Pieter J. HOEKSTRA, Auteur ; Catharina A. HARTMAN, Auteur ; Martine HOOGMAN, Auteur ; Jaap OOSTERLAAN, Auteur ; Barbara FRANKE, Auteur . - p.958-966. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 58-8 (August 2017) . - p.958-966 Mots-clés : attention-deficit/hyperactivity disorder  NOS1  imaging genetics  diffusion tensor imaging Index. décimale : PER Périodiques Résumé : Background The nitric oxide synthase gene (NOS1) exon 1f (ex1f) VNTR is a known genetic risk factor for Attention-Deficit/Hyperactivity Disorder (ADHD), particularly in females. NOS1 plays an important role in neurite outgrowth and may thus influence brain development, specifically white matter (WM) microstructure, which is known to be altered in ADHD. The current study aimed to investigate whether NOS1 is associated with WM microstructure in (female) individuals with and without ADHD. Methods Diffusion Tensor Imaging (DTI) scans were collected from 187 participants with ADHD (33% female) and 103 controls (50% female), aged 8–26 years, and NOS1-ex1f VNTR genotype was determined. Whole-brain analyses were conducted for fractional anisotropy (FA) and mean diffusivity (MD) to examine associations between NOS1 and WM microstructure, including possible interactions with gender and diagnosis. Results Consistent with previous literature, NOS1-ex1f was associated with total ADHD and hyperactivity-impulsivity symptoms, but not inattention; this effect was independent of gender. NOS1-ex1f was also associated with MD values in several major WM tracts in females, but not males. In females, homozygosity for the short allele was linked to higher MD values than carriership of the long allele. MD values in these regions did not correlate with ADHD symptoms. Results were similar for participants with and without ADHD. Conclusions NOS1-ex1f VNTR is associated with WM microstructure in females in a large sample of participants with ADHD and healthy controls. Whether this association is part of a neurodevelopmental pathway from NOS1 to ADHD symptoms should be further investigated in future studies. En ligne : http://dx.doi.org/10.1111/jcpp.12742 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=317

A multicohort, longitudinal study of cerebellar development in attention deficit hyperactivity disorder / Philip 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 Auteurs : Philip SHAW, Auteur ; Ayaka ISHII-TAKAHASHI, Auteur ; Min Tae PARK, Auteur ; Gabriel A. DEVENYI, Auteur ; Chava ZIBMAN, Auteur ; Steven W. KASPAREK, Auteur ; Gustavo SUDRE, Auteur ; Aman MANGALMURTI, Auteur ; Martine HOOGMAN, Auteur ; Henning TIEMEIER, Auteur ; Georg G. VON POLIER, Auteur ; Devon SHOOK, Auteur ; Ryan L. MUETZEL, Auteur ; M. Mallar CHAKRAVARTY, Auteur ; Kerstin KONRAD, Auteur ; Sarah DURSTON, Auteur ; Tiffany C. 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] / Philip SHAW, Auteur ; Ayaka ISHII-TAKAHASHI, Auteur ; Min Tae PARK, Auteur ; Gabriel A. DEVENYI, Auteur ; Chava ZIBMAN, Auteur ; Steven W. KASPAREK, Auteur ; Gustavo SUDRE, Auteur ; Aman MANGALMURTI, Auteur ; Martine HOOGMAN, Auteur ; Henning TIEMEIER, Auteur ; Georg G. VON POLIER, Auteur ; Devon SHOOK, Auteur ; Ryan L. MUETZEL, Auteur ; M. Mallar CHAKRAVARTY, Auteur ; Kerstin KONRAD, Auteur ; Sarah DURSTON, Auteur ; Tiffany C. 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

---

1 (1 - 5 / 5) Par page : 25 50 100 200