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RevueJAMA Psychiatry · 2020
Typearticle
Langueen
DomaineNeuroscience
ThématiqueFunctional Brain Connectivity Studies
Établissements canadiensMcMaster UniversityMcGill UniversityUniversity of CalgaryMontreal Neurological Institute and HospitalUniversity of TorontoDalhousie UniversitySt. Joseph’s Healthcare HamiltonUniversity of British ColumbiaHospital for Sick ChildrenCentre for Addiction and Mental HealthHolland Bloorview Kids Rehabilitation Hospital
Organismes subventionnairesCilagNational Institute of Biomedical Imaging and BioengineeringNational Institute on Drug AbuseNational Institute of Mental HealthRussian Academy of SciencesNational Health and Medical Research CouncilMenzies Centre for Australian Studies, King's College London, University of LondonMedical Research CouncilCollege of Medicine, Seoul National UniversityNuclear PhysicsIrving Medical Center, Columbia UniversityInstitute of Psychiatry, Psychology and Neuroscience, King’s College LondonCumming School of Medicine, University of CalgaryMathison Centre for Mental Health Research and EducationState University of New York Upstate Medical UniversityWake Forest School of MedicineUniversity of California, IrvineMedical School, University of MichiganUniversity of California, Los AngelesSchool of Medicine, New York UniversityGenentechDirectorate for Biological SciencesNational Institutes of HealthAmsterdam NeuroscienceInstituto de Investigación Marqués de ValdecillaUniversitat Politècnica de ValènciaH. Lundbeck A/SMinistry of Science and Higher Education of the Russian FederationServierInnovative Medicines InitiativeUniversidade do MinhoJulius-Maximilians-Universität WürzburgChiba UniversityTechnische Universität DresdenUniversidad Autónoma de MadridUniversità di PisaUniversity of Cape TownInstituto de Salud Carlos IIIUniversidad de CantabriaUniversity of New South WalesRadboud Universitair Medisch CentrumFundación Alicia KoplowitzUniversidade de São PauloU.S. Department of Veterans AffairsNational University of IrelandRegion HovedstadenUniversität ZürichDeutsches Zentrum für Neurodegenerative ErkrankungenWestfälische Wilhelms-Universität MünsterRheinische Friedrich-Wilhelms-Universität BonnUniversiteit van AmsterdamUniversitair Medisch Centrum GroningenSanofiNeuroscience Research AustraliaLeids Universitair Medisch CentrumCity, University of LondonUniversitätsklinikum HeidelbergUniversitetet i BergenUniversity of ReadingUniversiteit StellenboschKunming Medical UniversityUniversitetet i OsloGeorgia Institute of TechnologyLundbeckfondenNIHR Maudsley Biomedical Research CentreDalhousie UniversityAix-Marseille UniversitéUniversiteit LeidenCentre Hospitalier Universitaire VaudoisEuropean Regional Development FundSeoul National UniversityFundação BialNational Center for Advancing Translational SciencesBrandeis UniversityBundesministerium für Bildung und ForschungVrije Universiteit AmsterdamMonash UniversityDeakin UniversityJapan Society for the Promotion of ScienceCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorRijksuniversiteit GroningenUniversidade Federal do Rio Grande do SulTechnische Universität MünchenDeutsche ForschungsgemeinschaftTrinity College DublinSouth African Medical Research CouncilAstraZenecaNorges Teknisk-Naturvitenskapelige UniversitetUniversiteit UtrechtMurdoch Children's Research InstituteEuropean CommissionUniversitat de BarcelonaCentre National de la Recherche ScientifiqueImperial College LondonKing's College LondonKarolinska InstitutetAmsterdam University Medical CentersYork UniversityUniversity of East LondonUniversity of California, San FranciscoNational Institute of Mental Health and NeurosciencesVanderbilt University Medical CenterNational Institute on AgingUniversity of BathMcMaster UniversityUniversity of OxfordUniversity of TorontoUniversity of MelbourneYale UniversityUniversity of Texas Health Science Center at HoustonDepartment of Psychiatry, Faculty of Medicine, University of British ColumbiaNational Institute for Health and Care ResearchGeorgia State UniversityPratt FoundationEmory UniversityChildren’s Hospital of Wisconsin Research InstituteUniversiteit MaastrichtUniversity of PittsburghUniversidad de SevillaUniversity of PennsylvaniaPhilipps-Universität MarburgUniversity of GalwayFundació la Marató de TV3Syracuse UniversityJohns Hopkins UniversityUniversitat Autònoma de BarcelonaMcGill UniversityUniversität BaselSeoul National University HospitalUniversity of SussexRWTH Aachen UniversityCentro de Investigación Biomédica en Red de Salud MentalRadboud UniversiteitEli Lilly and CompanyState University of New YorkUniversity of MinnesotaPerelman School of Medicine, University of PennsylvaniaMcLean HospitalBiogenNational Center of Neurology and PsychiatryUniversity of Southern California
Mots-clésPsychologyNeurosciencePsychiatryMedicine
Résumé
récupéré en direct d'OpenAlexIMPORTANCE: Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood. OBJECTIVE: To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia. DESIGN, SETTING, AND PARTICIPANTS: Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244. MAIN OUTCOMES AND MEASURES: Interregional profiles of group difference in cortical thickness between cases and controls. RESULTS: A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders. CONCLUSIONS AND RELEVANCE: In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,138
Score d'incertitude au seuil0,629
Scores Codex et Gemma par catégorie
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
Tête enseignante Opus0,020
Tête enseignante GPT0,249
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle
