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Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups

2020· article· en· W3034761030 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Journal of Psychiatry · 2020
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
FundersCilagEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational SciencesNational Institute of Mental HealthUniversitat Politècnica de ValènciaLaureate Institute for Brain Research, University of TulsaUniversity of California, IrvineSchool of Medicine, New York UniversityCollier Charitable FundUniversitat Autònoma de BarcelonaAgència de Gestió d'Ajuts Universitaris i de RecercaThe Wellcome Trust DBT India AllianceChiba UniversityUniversidade Federal do Rio de JaneiroNational Institute of Neurological Disorders and StrokeUniversität ZürichRadboud Universitair Medisch CentrumUniversidade de São PauloUniversitair Medisch Centrum GroningenUniversitetet i BergenShanghai Jiao Tong UniversityState Government of VictoriaStavros Niarchos FoundationNational Institute on Drug AbuseShireConselho Nacional de Desenvolvimento Científico e TecnológicoAccareCollege of Medicine, Seoul National UniversityUniversiteit van AmsterdamDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Institute of Biomedical Imaging and BioengineeringUniversity of MelbourneGeneralitat de CatalunyaH. Lundbeck A/SHospital for Sick ChildrenDana FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaMurdoch Children's Research InstituteEuropean CommissionEuropean College of NeuropsychopharmacologyVrije Universiteit AmsterdamUniversity of OxfordMichael Smith Health Research BCSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Institute of Mental Health and NeurosciencesYork UniversityCentro de Investigación Biomédica en Red de Salud MentalEli Lilly and CompanyRadboud UniversiteitInstituto D'Or de Pesquisa e EnsinoUniversity of CincinnatiAmsterdam University Medical CentersTenovusJohns Hopkins UniversitySeoul National UniversityRoyal Children's Hospital FoundationAutism SpeaksDepartment of Biotechnology, Ministry of Science and Technology, IndiaBC Children's HospitalNational Institutes of HealthStiftelsen Kristian Gerhard JebsenChildren's Hospital FoundationChildren’s Hospital of Wisconsin Research InstituteJapan Agency for Medical Research and DevelopmentNational Science FoundationOregon Health and Science UniversityEuropean Regional Development FundKing's College LondonGeorge Washington UniversityMassachusetts General HospitalZonMwNational Center for Research ResourcesNational Alliance for Research on Schizophrenia and DepressionNational Health and Medical Research CouncilLeon Levy FoundationProvincial Health Services AuthorityWellcome TrustMinisterio de Economía y CompetitividadInstituto de Salud Carlos IIINational Natural Science Foundation of ChinaIntellectual and Developmental Disabilities Research CenterCincinnati Children's Hospital Medical CenterYale UniversityMedical Research CouncilFundació la Marató de TV3
KeywordsPsychologyNeuroscienceBrain sizeAudiologyMedicineMagnetic resonance imaging

Abstract

fetched live from OpenAlex

OBJECTIVE: Attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that frequently co-occur. The authors sought to directly compare these disorders using structural brain imaging data from ENIGMA consortium data. METHODS: -weighted whole-brain MRI data from healthy control subjects (N=5,827) and from patients with ADHD (N=2,271), ASD (N=1,777), and OCD (N=2,323) from 151 cohorts worldwide were analyzed using standardized processing protocols. The authors examined subcortical volume, cortical thickness, and cortical surface area differences within a mega-analytical framework, pooling measures extracted from each cohort. Analyses were performed separately for children, adolescents, and adults, using linear mixed-effects models adjusting for age, sex, and site (and intracranial volume for subcortical and surface area measures). RESULTS: No shared differences were found among all three disorders, and shared differences between any two disorders did not survive correction for multiple comparisons. Children with ADHD compared with those with OCD had smaller hippocampal volumes, possibly influenced by IQ. Children and adolescents with ADHD also had smaller intracranial volume than control subjects and those with OCD or ASD. Adults with ASD showed thicker frontal cortices compared with adult control subjects and other clinical groups. No OCD-specific differences were observed across different age groups and surface area differences among all disorders in childhood and adulthood. CONCLUSIONS: The study findings suggest robust but subtle differences across different age groups among ADHD, ASD, and OCD. ADHD-specific intracranial volume and hippocampal differences in children and adolescents, and ASD-specific cortical thickness differences in the frontal cortex in adults, support previous work emphasizing structural brain differences in these disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.304
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it