SynthesisJournal of psychiatry & neuroscience : JPN2018
Neuroanatomical phenotypes in mental illness: identifying convergent and divergent cortical phenotypes across autism, ADHD and schizophrenia.
Synthesis in Journal of psychiatry & neuroscience : JPN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Common and distinct cortical thickness alterations in youth with autism spectrum disorder and attention-deficit/hyperactivity disorder.BMC medicine · 2024Pooled it
- Assessment and correlates of autistic symptoms in Schizophrenia Spectrum Disorders measured with the PANSS Autism Severity Score: A systematic review.Frontiers in psychiatry · 2022Pooled it
- Age-varying distinct neuroanatomy in young children with autism spectrum disorder and fragile X syndrome.Molecular psychiatry · 2026Article
- Understanding heterogeneity in psychiatric disorders: A method for identifying subtypes and parsing comorbidity.Psychiatry and clinical neurosciences · 2025Article
- Statistical properties of functional connectivity MRI enrichment analysis in school-age autism research.Developmental cognitive neuroscience · 2025Article
- Associations of polygenic risk scores differentiating attention-deficit hyperactivity disorder from autism spectrum disorder with cognitive and cortical alterations in Schizophrenia patients.European child & adolescent psychiatry · 2025Article
- High-precision machine learning identifies a reproducible functional connectivity signature of autism spectrum diagnosis in a subset of individuals.GigaScience · 2025Article
- Network enrichment significance testing in brain-phenotype association studies.Human brain mapping · 2024Article
- Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression.Cognitive neurodynamics · 2023Article
- Network Enrichment Significance Testing in Brain-Phenotype Association Studies.bioRxiv : the preprint server for biology · 2023Article
- The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings.Molecular autism · 2023Article
- White and gray matter correlates of theory of mind in autism: a voxel-based morphometry study.Brain structure & function · 2023Article
- Article
- Visual search in neurodevelopmental disorders: evidence towards a continuum of impairment.European child & adolescent psychiatry · 2022Article
- Parahippocampal deactivation and hyperactivation of central executive, saliency and social cognition networks in autism spectrum disorder.Journal of neurodevelopmental disorders · 2022Article
- Age differences and brain maturation provide insight into heterogeneous results in autism spectrum disorder.Frontiers in human neuroscience · 2022Review
- Functional Significance of Human Resting-State Networks Hubs Identified Using MEG During the Transition From Childhood to Adulthood.Frontiers in neurology · 2022Article
- Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder.Communications biology · 2021Article
- Dissecting autism and schizophrenia through neuroimaging genomics.Brain : a journal of neurology · 2021Review
- Autistic Traits and Attention-Deficit Hyperactivity Disorder Symptoms Predict the Severity of Internet Gaming Disorder in an Italian Adult Population.Brain sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThere is evidence suggesting neuropsychiatric disorders share genomic, cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention-deficit/hyperactivity disorder (ADHD) and schizophrenia share neuroanatomical variations.
methodsFirst, we used measures of cortical anatomy to estimate spatial overlap of neuroanatomical variation using univariate methods. Next, we developed a novel methodology to determine whether cortical deficits specifically target or are "enriched" within functional resting-state networks.
resultsWe found cortical anomalies were preferentially enriched across functional networks rather than clustering spatially. Specifically, cortical thickness showed significant enrichment between patients with ASD and those with ADHD in the default mode network, between patients with ASD and those with schizophrenia in the frontoparietal and limbic networks, and between patients with ADHD and those with schizophrenia in the ventral attention network. Networks enriched in cortical thickness anomalies were also strongly represented in functional MRI results (Neurosynth; LIMITATIONS: We did not account for variable symptom dimensions and severity in patient populations, and our cross-sectional design prevented longitudinal analyses of developmental trajectories.
conclusionThese findings suggest that common deficits across neuropsychiatric disorders cannot simply be characterized as arising out of local changes in cortical grey matter, but rather as entities of both local and systemic alterations targeting brain networks.
Indexed as
Identifiers
29688876PMC5915241What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.