16 recherche sur le mot-clé 'structural MRI'

Subgrouping autism and ADHD based on structural MRI population modelling centiles / Clara PECCI-TERROBA in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 33 Titre : Subgrouping autism and ADHD based on structural MRI population modelling centiles Type de document : texte imprimé Auteurs : Clara PECCI-TERROBA, Auteur ; Meng-Chuan LAI, Auteur ; Michael V. LOMBARDO, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Amber N.V. RUIGROK, Auteur ; John SUCKLING, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Jason P. LERCH, Auteur ; Margot J. TAYLOR, Auteur ; Rob NICOLSON, Auteur ; Stelios GEORGIADES, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Elizabeth KELLEY, Auteur ; Jessica JONES, Auteur ; Paul D. ARNOLD, Auteur ; Jakob SEIDLITZ, Auteur ; Aaron F. ALEXANDER-BLOCH, Auteur ; Edward T. BULLMORE, Auteur ; Simon BARON-COHEN, Auteur ; Saashi A. BEDFORD, Auteur ; Richard A.I. BETHLEHEM, Auteur ; Clara PECCI-TERROBA, Auteur ; Meng-Chuan LAI, Auteur ; Michael V. LOMBARDO, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Amber N.V. RUIGROK, Auteur ; John SUCKLING, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Jason P. LERCH, Auteur ; Margot J. TAYLOR, Auteur ; Rob NICOLSON, Auteur ; Stelios GEORGIADES, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Elizabeth KELLEY, Auteur ; Jessica JONES, Auteur ; Paul D. ARNOLD, Auteur ; Jakob SEIDLITZ, Auteur ; Aaron F. ALEXANDER-BLOCH, Auteur ; Edward T. BULLMORE, Auteur ; Simon BARON-COHEN, Auteur ; Saashi A. BEDFORD, Auteur ; Richard A.I. BETHLEHEM, Auteur Article en page(s) : 33 Langues : Anglais (eng) Mots-clés : Attention Deficit Disorder with Hyperactivity/diagnostic  imaging/classification/pathology  Humans  Autistic Disorder/diagnostic imaging/classification/pathology  Magnetic Resonance Imaging/methods  Male  Female  Child  Cluster Analysis  Adolescent  Algorithms  Machine Learning  Adhd  Autism  Neuroimaging  Population modelling  Structural MRI  Subgrouping  informed consent were obtained for each primary study. The Cambridge Psychology  Research Ethics Committee (PRE.2020.104) deemed that secondary analysis of  deidentified data did not require ethical oversight. Consent for publication: Not  applicable. Competing interests: RAIB, MVL, and M-CL are Associate Editors, and  EA and BC are Editorial Board members of Molecular Autism. SBC is a former  Editor-in-Chief of the journal. ETB reports consultancy work for Boehringer  Ingelheim, Sosei Heptares, SR One, and GlaxoSmithKline. ETB, RAIB, JS, and AFA-B  are cofounders of Centile Bioscience. PDA receives research support from Biohaven  Pharmaceuticals. M-CL has received editorial honorarium from SAGE Publications.  RN reported receiving grants from Brain Canada, Hoffman La Roche, Otsuka  Pharmaceuticals, and Maplight Therapeutics outside the submitted work. EA  reported receiving grants from Roche and Anavex  receiving nonfinancial support  from AMO Pharma and CRA-Simons Foundation  and receiving personal fees from  Roche, Impel, Ono, and Quadrant outside the submitted work. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism and attention deficit hyperactivity disorder (ADHD) are two highly heterogeneous neurodevelopmental conditions with variable underlying neurobiology. Imaging studies have yielded varied results, and it is now clear that there is unlikely to be one characteristic neuroanatomical profile of either condition. Parsing this heterogeneity could allow us to identify more homogeneous subgroups, either within or across conditions, which may be more clinically informative. This has been a pivotal goal for neurodevelopmental research using both clinical and neuroanatomical features, though results thus far have again been inconsistent with regards to the number and characteristics of subgroups. METHODS: Here, we use population modelling to cluster a multi-site dataset based on global and regional centile scores of cortical thickness, surface area and grey matter volume. We use HYDRA, a novel semi-supervised machine learning algorithm which clusters based on differences to controls and compare its performance to a traditional clustering approach. RESULTS: We identified distinct subgroups within autism and ADHD, as well as across diagnosis, often with opposite neuroanatomical alterations relatively to controls. These subgroups were characterised by different combinations of increased or decreased patterns of morphometrics. We did not find significant clinical differences across subgroups. LIMITATIONS: Crucially, however, the number of subgroups and their membership differed vastly depending on chosen features and the algorithm used, highlighting the impact and importance of careful method selection. CONCLUSIONS: We highlight the importance of examining heterogeneity in autism and ADHD and demonstrate that population modelling is a useful tool to study subgrouping in autism and ADHD. We identified subgroups with distinct patterns of alterations relative to controls but note that these results rely heavily on the algorithm used and encourage detailed reporting of methods and features used in future studies. En ligne : https://dx.doi.org/10.1186/s13229-025-00667-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569 [article] Subgrouping autism and ADHD based on structural MRI population modelling centiles [texte imprimé] / Clara PECCI-TERROBA, Auteur ; Meng-Chuan LAI, Auteur ; Michael V. LOMBARDO, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Amber N.V. RUIGROK, Auteur ; John SUCKLING, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Jason P. LERCH, Auteur ; Margot J. TAYLOR, Auteur ; Rob NICOLSON, Auteur ; Stelios GEORGIADES, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Elizabeth KELLEY, Auteur ; Jessica JONES, Auteur ; Paul D. ARNOLD, Auteur ; Jakob SEIDLITZ, Auteur ; Aaron F. ALEXANDER-BLOCH, Auteur ; Edward T. BULLMORE, Auteur ; Simon BARON-COHEN, Auteur ; Saashi A. BEDFORD, Auteur ; Richard A.I. BETHLEHEM, Auteur ; Clara PECCI-TERROBA, Auteur ; Meng-Chuan LAI, Auteur ; Michael V. LOMBARDO, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Amber N.V. RUIGROK, Auteur ; John SUCKLING, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Jason P. LERCH, Auteur ; Margot J. TAYLOR, Auteur ; Rob NICOLSON, Auteur ; Stelios GEORGIADES, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Elizabeth KELLEY, Auteur ; Jessica JONES, Auteur ; Paul D. ARNOLD, Auteur ; Jakob SEIDLITZ, Auteur ; Aaron F. ALEXANDER-BLOCH, Auteur ; Edward T. BULLMORE, Auteur ; Simon BARON-COHEN, Auteur ; Saashi A. BEDFORD, Auteur ; Richard A.I. BETHLEHEM, Auteur . - 33. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 33 Mots-clés : Attention Deficit Disorder with Hyperactivity/diagnostic  imaging/classification/pathology  Humans  Autistic Disorder/diagnostic imaging/classification/pathology  Magnetic Resonance Imaging/methods  Male  Female  Child  Cluster Analysis  Adolescent  Algorithms  Machine Learning  Adhd  Autism  Neuroimaging  Population modelling  Structural MRI  Subgrouping  informed consent were obtained for each primary study. The Cambridge Psychology  Research Ethics Committee (PRE.2020.104) deemed that secondary analysis of  deidentified data did not require ethical oversight. Consent for publication: Not  applicable. Competing interests: RAIB, MVL, and M-CL are Associate Editors, and  EA and BC are Editorial Board members of Molecular Autism. SBC is a former  Editor-in-Chief of the journal. ETB reports consultancy work for Boehringer  Ingelheim, Sosei Heptares, SR One, and GlaxoSmithKline. ETB, RAIB, JS, and AFA-B  are cofounders of Centile Bioscience. PDA receives research support from Biohaven  Pharmaceuticals. M-CL has received editorial honorarium from SAGE Publications.  RN reported receiving grants from Brain Canada, Hoffman La Roche, Otsuka  Pharmaceuticals, and Maplight Therapeutics outside the submitted work. EA  reported receiving grants from Roche and Anavex  receiving nonfinancial support  from AMO Pharma and CRA-Simons Foundation  and receiving personal fees from  Roche, Impel, Ono, and Quadrant outside the submitted work. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism and attention deficit hyperactivity disorder (ADHD) are two highly heterogeneous neurodevelopmental conditions with variable underlying neurobiology. Imaging studies have yielded varied results, and it is now clear that there is unlikely to be one characteristic neuroanatomical profile of either condition. Parsing this heterogeneity could allow us to identify more homogeneous subgroups, either within or across conditions, which may be more clinically informative. This has been a pivotal goal for neurodevelopmental research using both clinical and neuroanatomical features, though results thus far have again been inconsistent with regards to the number and characteristics of subgroups. METHODS: Here, we use population modelling to cluster a multi-site dataset based on global and regional centile scores of cortical thickness, surface area and grey matter volume. We use HYDRA, a novel semi-supervised machine learning algorithm which clusters based on differences to controls and compare its performance to a traditional clustering approach. RESULTS: We identified distinct subgroups within autism and ADHD, as well as across diagnosis, often with opposite neuroanatomical alterations relatively to controls. These subgroups were characterised by different combinations of increased or decreased patterns of morphometrics. We did not find significant clinical differences across subgroups. LIMITATIONS: Crucially, however, the number of subgroups and their membership differed vastly depending on chosen features and the algorithm used, highlighting the impact and importance of careful method selection. CONCLUSIONS: We highlight the importance of examining heterogeneity in autism and ADHD and demonstrate that population modelling is a useful tool to study subgrouping in autism and ADHD. We identified subgroups with distinct patterns of alterations relative to controls but note that these results rely heavily on the algorithm used and encourage detailed reporting of methods and features used in future studies. En ligne : https://dx.doi.org/10.1186/s13229-025-00667-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569

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

Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms / Gisela SUGRANYES in Journal of Child Psychology and Psychiatry, 62-6 (June 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-6 (June 2021) . - p.780-789 Titre : Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms Type de document : texte imprimé Auteurs : Gisela SUGRANYES, Auteur ; Elena DE LA SERNA, Auteur ; Daniel ILZARBE, Auteur ; Jose Carlos PARIENTE, Auteur ; Roger BORRAS, Auteur ; Soledad ROMERO, Auteur ; Mireia ROSA, Auteur ; Inmaculada BAEZA, Auteur ; Maria Dolores MORENO, Auteur ; Miguel BERNARDO, Auteur ; Eduard VIETA, Auteur ; Josefina CASTRO-FORNIELES, Auteur Article en page(s) : p.780-789 Langues : Anglais (eng) Mots-clés : Adolescent  Bipolar Disorder/diagnostic imaging  Brain/diagnostic imaging  Cross-Sectional Studies  Genetic Predisposition to Disease  Humans  Magnetic Resonance Imaging  Psychotic Disorders/diagnostic imaging  Schizophrenia/diagnostic imaging/genetics  High-risk studies  bipolar  psychosis  schizophrenia  structural MRI Index. décimale : PER Périodiques Résumé : BACKGROUND: The evaluation of child and adolescent offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) may help understand changes taking place in the brain in individuals at heightened risk for disease during a key developmental period. METHODS: One hundred twenty-eight individuals (33 SzO and 46 BpO, considered jointly as 'Familial High Risk' (FHR), and 49 controls) aged 6-17 years underwent clinical, cognitive and neuroimaging assessment at baseline, 2- and 4-year follow-up. Twenty FHR participants (11 SzO and 9 BpO) developed psychotic spectrum symptoms during follow-up, while 59 FHR participants did not. Magnetic resonance imaging was performed on a 3Tesla scanner; cortical surface reconstruction was applied to measure cortical thickness, surface area and grey matter volume. RESULTS: FHR participants who developed psychotic spectrum symptoms over time showed greater time-related mean cortical thinning than those who did not and than controls. By subgroups, this effect was present in both BpO and SzO in the occipital cortex. At baseline, FHR participants who developed psychotic spectrum symptoms over time had smaller total surface area and grey matter volume than those who did not and than controls. Over time, all FHR participants showed less longitudinal decrease in surface area than controls. In those who developed psychotic spectrum symptoms over time, this effect was driven by BpO, while in those who did not, this was due to SzO, who also showed less grey matter volume reduction. CONCLUSION: The emergence of psychotic spectrum symptoms in FHR was indexed by smaller cross-sectional surface area and progressive cortical thinning. Relative preservation of surface area over time may signal different processes according to familial risk. These findings lay the foundation for future studies aimed at stratification of FHR youth. En ligne : http://dx.doi.org/10.1111/jcpp.13321 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms [texte imprimé] / Gisela SUGRANYES, Auteur ; Elena DE LA SERNA, Auteur ; Daniel ILZARBE, Auteur ; Jose Carlos PARIENTE, Auteur ; Roger BORRAS, Auteur ; Soledad ROMERO, Auteur ; Mireia ROSA, Auteur ; Inmaculada BAEZA, Auteur ; Maria Dolores MORENO, Auteur ; Miguel BERNARDO, Auteur ; Eduard VIETA, Auteur ; Josefina CASTRO-FORNIELES, Auteur . - p.780-789. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-6 (June 2021) . - p.780-789 Mots-clés : Adolescent  Bipolar Disorder/diagnostic imaging  Brain/diagnostic imaging  Cross-Sectional Studies  Genetic Predisposition to Disease  Humans  Magnetic Resonance Imaging  Psychotic Disorders/diagnostic imaging  Schizophrenia/diagnostic imaging/genetics  High-risk studies  bipolar  psychosis  schizophrenia  structural MRI Index. décimale : PER Périodiques Résumé : BACKGROUND: The evaluation of child and adolescent offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) may help understand changes taking place in the brain in individuals at heightened risk for disease during a key developmental period. METHODS: One hundred twenty-eight individuals (33 SzO and 46 BpO, considered jointly as 'Familial High Risk' (FHR), and 49 controls) aged 6-17 years underwent clinical, cognitive and neuroimaging assessment at baseline, 2- and 4-year follow-up. Twenty FHR participants (11 SzO and 9 BpO) developed psychotic spectrum symptoms during follow-up, while 59 FHR participants did not. Magnetic resonance imaging was performed on a 3Tesla scanner; cortical surface reconstruction was applied to measure cortical thickness, surface area and grey matter volume. RESULTS: FHR participants who developed psychotic spectrum symptoms over time showed greater time-related mean cortical thinning than those who did not and than controls. By subgroups, this effect was present in both BpO and SzO in the occipital cortex. At baseline, FHR participants who developed psychotic spectrum symptoms over time had smaller total surface area and grey matter volume than those who did not and than controls. Over time, all FHR participants showed less longitudinal decrease in surface area than controls. In those who developed psychotic spectrum symptoms over time, this effect was driven by BpO, while in those who did not, this was due to SzO, who also showed less grey matter volume reduction. CONCLUSION: The emergence of psychotic spectrum symptoms in FHR was indexed by smaller cross-sectional surface area and progressive cortical thinning. Relative preservation of surface area over time may signal different processes according to familial risk. These findings lay the foundation for future studies aimed at stratification of FHR youth. En ligne : http://dx.doi.org/10.1111/jcpp.13321 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Executive function mediates the prospective association between neurostructural differences within the central executive network and anti-social behavior after childhood traumatic brain injury / Nicholas P. RYAN 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.1150-1161 Titre : Executive function mediates the prospective association between neurostructural differences within the central executive network and anti-social behavior after childhood traumatic brain injury Type de document : texte imprimé Auteurs : Nicholas P. RYAN, Auteur ; Cathy CATROPPA, Auteur ; Nathan HUGHES, Auteur ; Felicity L. PAINTER, Auteur ; Stephen HEARPS, Auteur ; Miriam H. BEAUCHAMP, Auteur ; Vicki ANDERSON, Auteur Article en page(s) : p.1150-1161 Langues : Anglais (eng) Mots-clés : Brain/diagnostic imaging  Brain Injuries, Traumatic/diagnostic imaging  Child  Executive Function  Humans  Longitudinal Studies  Prospective Studies  Anti-social behavior  aggression  childhood traumatic brain injury  longitudinal design  structural MRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Despite increasing evidence of a link between early life brain injury and anti-social behavior, very few studies have assessed factors that explain this association in children with traumatic brain injury (TBI). One hypothesis suggests that childhood TBI elevates risk for anti-social behavior via disruption to anatomically distributed neural networks implicated in executive functioning (EF). In this longitudinal prospective study, we employed high-resolution structural neuroimaging to (a) evaluate the impact of childhood TBI on regional morphometry of the central executive network (CEN) and (b) evaluate the prediction that lower EF mediates the prospective relationship between structural differences within the CEN and postinjury anti-social behaviors. METHODS: This study involved 155 children, including 112 consecutively recruited, hospital-confirmed cases of mild-severe TBI and 43 typically developing control (TDC) children. T1-weighted brain magnetic resonance imaging (MRI) sequences were acquired sub-acutely in a subset of 137 children [TBI: n = 103; TDC: n = 34]. All participants were evaluated using direct assessment of EF 6 months postinjury, and parents provided ratings of anti-social behavior 12 months postinjury. RESULTS: Severe TBI was associated with postinjury volumetric differences within the CEN and its putative hub regions. When compared with TD controls, the TBI group had significantly worse EF, which was associated with more frequent anti-social behaviors and abnormal CEN morphometry. Mediation analysis indicated that reduced EF mediated the prospective association between postinjury volumetric differences within the CEN and more frequent anti-social behavior. CONCLUSIONS: Our longitudinal prospective findings suggest that detection of neurostructural abnormalities within the CEN may aid in the early identification of children at elevated risk for postinjury executive dysfunction, which may in turn contribute to chronic anti-social behaviors after early life brain injury. Findings underscore the potential value of early surveillance and preventive measures for children presenting with neurostructural and/or neurocognitive risk factors. En ligne : http://dx.doi.org/10.1111/jcpp.13385 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Executive function mediates the prospective association between neurostructural differences within the central executive network and anti-social behavior after childhood traumatic brain injury [texte imprimé] / Nicholas P. RYAN, Auteur ; Cathy CATROPPA, Auteur ; Nathan HUGHES, Auteur ; Felicity L. PAINTER, Auteur ; Stephen HEARPS, Auteur ; Miriam H. BEAUCHAMP, Auteur ; Vicki ANDERSON, Auteur . - p.1150-1161. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1150-1161 Mots-clés : Brain/diagnostic imaging  Brain Injuries, Traumatic/diagnostic imaging  Child  Executive Function  Humans  Longitudinal Studies  Prospective Studies  Anti-social behavior  aggression  childhood traumatic brain injury  longitudinal design  structural MRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Despite increasing evidence of a link between early life brain injury and anti-social behavior, very few studies have assessed factors that explain this association in children with traumatic brain injury (TBI). One hypothesis suggests that childhood TBI elevates risk for anti-social behavior via disruption to anatomically distributed neural networks implicated in executive functioning (EF). In this longitudinal prospective study, we employed high-resolution structural neuroimaging to (a) evaluate the impact of childhood TBI on regional morphometry of the central executive network (CEN) and (b) evaluate the prediction that lower EF mediates the prospective relationship between structural differences within the CEN and postinjury anti-social behaviors. METHODS: This study involved 155 children, including 112 consecutively recruited, hospital-confirmed cases of mild-severe TBI and 43 typically developing control (TDC) children. T1-weighted brain magnetic resonance imaging (MRI) sequences were acquired sub-acutely in a subset of 137 children [TBI: n = 103; TDC: n = 34]. All participants were evaluated using direct assessment of EF 6 months postinjury, and parents provided ratings of anti-social behavior 12 months postinjury. RESULTS: Severe TBI was associated with postinjury volumetric differences within the CEN and its putative hub regions. When compared with TD controls, the TBI group had significantly worse EF, which was associated with more frequent anti-social behaviors and abnormal CEN morphometry. Mediation analysis indicated that reduced EF mediated the prospective association between postinjury volumetric differences within the CEN and more frequent anti-social behavior. CONCLUSIONS: Our longitudinal prospective findings suggest that detection of neurostructural abnormalities within the CEN may aid in the early identification of children at elevated risk for postinjury executive dysfunction, which may in turn contribute to chronic anti-social behaviors after early life brain injury. Findings underscore the potential value of early surveillance and preventive measures for children presenting with neurostructural and/or neurocognitive risk factors. En ligne : http://dx.doi.org/10.1111/jcpp.13385 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study / Alessandra RETICO in Molecular Autism, 7 (2016)  

Public ISBD [article]  inMolecular Autism > 7 (2016) . - 5p. Titre : The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study Type de document : texte imprimé Auteurs : Alessandra RETICO, Auteur ; Alessia GIULIANO, Auteur ; Raffaella TANCREDI, Auteur ; Angela COSENZA, Auteur ; Fabio APICELLA, Auteur ; Antonio NARZISI, Auteur ; Laura BIAGI, Auteur ; Michela TOSETTI, Auteur ; Filippo MURATORI, Auteur ; Sara CALDERONI, Auteur Article en page(s) : 5p. Langues : Anglais (eng) Mots-clés : Area Under Curve  Autism Spectrum Disorder/pathology  Cerebrospinal Fluid  Child  Child, Preschool  Female  Gray Matter/pathology  Humans  Infant  Intelligence  Magnetic Resonance Imaging  Male  Neuroimaging  Organ Size  Phenotype  Research Design  Severity of Illness Index  Sex Characteristics  Support Vector Machine  White Matter/pathology  Autism spectrum disorders  Gender differences  Structural MRI  Young children Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic, hormonal, and environmental factors contribute since infancy to sexual dimorphism in regional brain structures of subjects with typical development. However, the neuroanatomical differences between male and female children with autism spectrum disorders (ASD) are an intriguing and still poorly investigated issue. This study aims to evaluate whether the brain of young children with ASD exhibits sex-related structural differences and if a correlation exists between clinical ASD features and neuroanatomical underpinnings. METHODS: A total of 152 structural MRI scans were analysed. Specifically, 76 young children with ASD (38 males and 38 females; 2-7 years of age; mean = 53 months, standard deviation = 17 months) were evaluated employing a support vector machine (SVM)-based analysis of the grey matter (GM). Group comparisons consisted of 76 age-, gender- and non-verbal-intelligence quotient-matched children with typical development or idiopathic developmental delay without autism. RESULTS: For both genders combined, SVM showed a significantly increased GM volume in young children with ASD with respect to control subjects, predominantly in the bilateral superior frontal gyrus (Brodmann area -BA- 10), bilateral precuneus (BA 31), bilateral superior temporal gyrus (BA 20/22), whereas less GM in patients with ASD was found in right inferior temporal gyrus (BA 37). For the within gender comparisons (i.e., females with ASD vs. controls and males with ASD vs. controls), two overlapping regions in bilateral precuneus (BA 31) and left superior frontal gyrus (BA 9/10) were detected. Sex-by-group analyses revealed in males with ASD compared to matched controls two male-specific regions of increased GM volume (left middle occipital gyrus-BA 19-and right superior temporal gyrus-BA 22). Comparisons in females with and without ASD demonstrated increased GM volumes predominantly in the bilateral frontal regions. Additional regions of significantly increased GM volume in the right anterior cingulate cortex (BA 32) and right cerebellum were typical only of females with ASD. CONCLUSIONS: Despite the specific behavioural correlates of sex-dimorphism in ASD, brain morphology as yet remains unclear and requires future dedicated investigations. This study provides evidence of structural brain gender differences in young children with ASD that possibly contribute to the different phenotypic disease manifestations in males and females. En ligne : http://dx.doi.org/10.1186/s13229-015-0067-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 [article] The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study [texte imprimé] / Alessandra RETICO, Auteur ; Alessia GIULIANO, Auteur ; Raffaella TANCREDI, Auteur ; Angela COSENZA, Auteur ; Fabio APICELLA, Auteur ; Antonio NARZISI, Auteur ; Laura BIAGI, Auteur ; Michela TOSETTI, Auteur ; Filippo MURATORI, Auteur ; Sara CALDERONI, Auteur . - 5p. Langues : Anglais (eng) in Molecular Autism > 7 (2016) . - 5p. Mots-clés : Area Under Curve  Autism Spectrum Disorder/pathology  Cerebrospinal Fluid  Child  Child, Preschool  Female  Gray Matter/pathology  Humans  Infant  Intelligence  Magnetic Resonance Imaging  Male  Neuroimaging  Organ Size  Phenotype  Research Design  Severity of Illness Index  Sex Characteristics  Support Vector Machine  White Matter/pathology  Autism spectrum disorders  Gender differences  Structural MRI  Young children Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic, hormonal, and environmental factors contribute since infancy to sexual dimorphism in regional brain structures of subjects with typical development. However, the neuroanatomical differences between male and female children with autism spectrum disorders (ASD) are an intriguing and still poorly investigated issue. This study aims to evaluate whether the brain of young children with ASD exhibits sex-related structural differences and if a correlation exists between clinical ASD features and neuroanatomical underpinnings. METHODS: A total of 152 structural MRI scans were analysed. Specifically, 76 young children with ASD (38 males and 38 females; 2-7 years of age; mean = 53 months, standard deviation = 17 months) were evaluated employing a support vector machine (SVM)-based analysis of the grey matter (GM). Group comparisons consisted of 76 age-, gender- and non-verbal-intelligence quotient-matched children with typical development or idiopathic developmental delay without autism. RESULTS: For both genders combined, SVM showed a significantly increased GM volume in young children with ASD with respect to control subjects, predominantly in the bilateral superior frontal gyrus (Brodmann area -BA- 10), bilateral precuneus (BA 31), bilateral superior temporal gyrus (BA 20/22), whereas less GM in patients with ASD was found in right inferior temporal gyrus (BA 37). For the within gender comparisons (i.e., females with ASD vs. controls and males with ASD vs. controls), two overlapping regions in bilateral precuneus (BA 31) and left superior frontal gyrus (BA 9/10) were detected. Sex-by-group analyses revealed in males with ASD compared to matched controls two male-specific regions of increased GM volume (left middle occipital gyrus-BA 19-and right superior temporal gyrus-BA 22). Comparisons in females with and without ASD demonstrated increased GM volumes predominantly in the bilateral frontal regions. Additional regions of significantly increased GM volume in the right anterior cingulate cortex (BA 32) and right cerebellum were typical only of females with ASD. CONCLUSIONS: Despite the specific behavioural correlates of sex-dimorphism in ASD, brain morphology as yet remains unclear and requires future dedicated investigations. This study provides evidence of structural brain gender differences in young children with ASD that possibly contribute to the different phenotypic disease manifestations in males and females. En ligne : http://dx.doi.org/10.1186/s13229-015-0067-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329

Effects of age and symptomatology on cortical thickness in autism spectrum disorders / Krissy DOYLE-THOMAS in Research in Autism Spectrum Disorders, 7-1 (January 2013)  

Permalink

Genetic Effects on Cerebellar Structure Across Mouse Models of Autism Using a Magnetic Resonance Imaging Atlas / Patrick E. STEADMAN in Autism Research, 7-1 (February 2014)  

Permalink

Regional differences in grey and white matter in children and adults with autism spectrum disorders: an activation likelihood estimate (ALE) meta-analysis / Emma G. DUERDEN in Autism Research, 5-1 (February 2012)  

Permalink

Teasing apart the heterogeneity of autism: Same behavior, different brains in toddlers with fragile X syndrome and autism / Heather C. HAZLETT in Journal of Neurodevelopmental Disorders, 1-1 (March 2009)  

Permalink

The development of depressogenic self-schemas: Associations with children's regional grey matter volume in ventrolateral prefrontal cortex / Pan LIU in Development and Psychopathology, 35-3 (August 2023)  

Permalink