ArticleBrain : a journal of neurology2020
Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.
Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05911412 (Development of the Neuroimaging Biomarker-based Prediction Model of Anxiety-related Disorders and Novel Treatment Strategies), which is not on this map. Cited by 74 papers, 3 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.
Development of the Neuroimaging Biomarker-based Prediction Model of Anxiety-related Disorders and Novel Treatment Strategies: Effect of Mindfulness-based Cognitive Therapy Using Neuroscience on the Brain
Who cites it
74 citing papers in PubMed, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.
- Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Pooled it
- Abnormalities of Localized Connectivity in Obsessive-Compulsive Disorder: A Voxel-Wise Meta-Analysis.Frontiers in human neuroscience · 2021Pooled it
- ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.Translational psychiatry · 2020Pooled it
- A randomised, double-blind, sham-controlled trial of deep brain stimulation of the bed nucleus of the stria terminalis for treatment-resistant obsessive-compulsive disorder.Translational psychiatry · 2021Trial
- Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.Nature communications · 2026Article
- Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
- Reduced Whole-Brain Network Segregation and Dorsal Anterior-Cingulate Cortex Neurochemical Alterations in Chronic Smokers.Brain and behavior · 2026Article
- Orbitofrontal Thickness and Network Associations as Transdiagnostic Signature of Amotivation Along the Bipolar-Schizophrenia Spectrum.Schizophrenia bulletin · 2026Article
- Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study.Molecular psychiatry · 2026Article
- Shared white matter connectome-based correlates of self-reproach, response failure, spatial planning, and resilience in patients with subthreshold depression: a graph theory approach.Scientific reports · 2026Article
- Disrupted structural covariance network in presbycusis patients: evidence from a large sample mri-based morphometric study.Frontiers in aging neuroscience · 2026Article
- Exploring the Impact of Dance Training on the Structural Plasticity of Empathy-Related Brain Networks.Neural plasticity · 2026Article
- Cerebrospinal fluid dynamics and brain function regulation: from homeostasis to neurological disorders.Frontiers in neuroscience · 2026Article
- Adolescent depression recognition and symptom prediction based on multi-view EEG network: an exploratory study.Frontiers in psychiatry · 2026Article
- Neural Circuit Taxonomy and Precision Psychiatry in Major Depression.Advances in experimental medicine and biology · 2026Review
- Toward neuroimaging-based diagnostic support: a deep learning approach with a closed-loop system for psychiatric classification.iScience · 2025Article
- Brain Microstructural Alterations in Children Post-COVID-19 Infection Through VBM, SBM, and Structural Covariance Network Analysis.Brain and behavior · 2025Article
- Structural covariance network patterns linked to neuropsychiatric symptoms in biologically defined Alzheimer's disease: Insights from the mild behavioral impairment checklist.Journal of Alzheimer's disease : JAD · 2025Article
- Disrupted intersubject variability architecture in structural and functional brain connectomes in major depressive disorder.Psychological medicine · 2025Article
- More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple Sclerosis.Human brain mapping · 2025Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issuedCorrigendum.2020
Authors and funding
71 authors at 20 institutions in 13 countries.
Funding
Abstract
Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P < 0.0001), lower modularity (P < 0.0001), and lower small-worldness (P = 0.017). Detection of community membership emphasized lower network segregation in OCD compared to healthy controls. At the regional level, there were lower (rank-transformed) centrality values in OCD for volume of caudate nucleus and thalamus, and surface area of paracentral cortex, indicative of altered distribution of brain hubs. Centrality of cingulate and orbito-frontal as well as other brain areas was associated with OCD illness duration, suggesting greater involvement of these brain areas with illness chronicity. In summary, the findings of this study, the largest brain structural covariance study of OCD to date, point to a less segregated organization of structural covariance networks in OCD, and reorganization of brain hubs. The segregation findings suggest a possible signature of altered brain morphometry in OCD, while the hub findings point to OCD-related alterations in trajectories of brain development and maturation, particularly in cingulate and orbitofrontal regions.
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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.