ArticleCerebral cortex (New York, N.Y. : 1991)2019
Structural Covariance Reveals Alterations in Control and Salience Network Integrity in Chronic Schizophrenia.
Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural covariance networks in schizophrenia: A systematic review Part I.Schizophrenia research · 2022Pooled it
- Aberrant Fear: Biological Underpinnings Relevant to Psychosis, Antipsychotic Drugs, and Psychotherapeutic Treatments, a Translational Approach.International journal of molecular sciences · 2026Review
- Brain Microstructural Alterations in Children Post-COVID-19 Infection Through VBM, SBM, and Structural Covariance Network Analysis.Brain and behavior · 2025Article
- Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia.Frontiers in psychiatry · 2025Article
- Trauma-related intrusive memories and anterior hippocampus structural covariance: an ecological momentary assessment study in posttraumatic stress disorder.Translational psychiatry · 2024Article
- Selective disrupted gray matter volume covariance of amygdala subregions in schizophrenia.Frontiers in psychiatry · 2024Article
- Insula-cingulate structural and functional connectivity: an ultra-high field MRI study.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Morphometric dis-similarity between cortical and subcortical areas underlies cognitive function and psychiatric symptomatology: a preadolescence study from ABCD.Molecular psychiatry · 2023Article
- Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment.Alzheimer's research & therapy · 2023Article
- Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes.Frontiers in psychiatry · 2023Article
- Shared alterations in hippocampal structural covariance in subjective cognitive decline and migraine.Frontiers in aging neuroscience · 2023Article
- Antipsychotics Effects on Network-Level Reconfiguration of Cortical Morphometry in First-Episode Schizophrenia.Schizophrenia bulletin · 2022Article
- Progressive Brain Structural Impairment AssessedFrontiers in neurology · 2022Article
- Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis.Molecular psychiatry · 2021Article
- Substance-Specific and Shared Gray Matter Signatures in Alcohol, Opioid, and Polysubstance Use Disorder.Frontiers in psychiatry · 2021Article
- Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment.Frontiers in neuroanatomy · 2021Article
- Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis.Network neuroscience (Cambridge, Mass.) · 2021Article
- Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia.Translational psychiatry · 2020Article
- Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.Brain : a journal of neurology · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Schizophrenia (SCZ) is recognized as a disorder of distributed brain dysconnectivity. While progress has been made delineating large-scale functional networks in SCZ, little is known about alterations in grey matter integrity of these networks. We used a multivariate approach to identify the structural covariance of the salience, default, motor, visual, fronto-parietal control, and dorsal attention networks. We derived individual scores reflecting covariance in each structural image for a given network. Seed-based multivariate analyses were conducted on structural images in a discovery (n = 90) and replication (n = 74) sample of SCZ patients and healthy controls. We first validated patterns across all networks, consistent with well-established functional connectivity reports. Next, across two SCZ samples, we found reliable and robust reductions in structural integrity of the fronto-parietal control and salience networks, but not default, dorsal attention, motor and sensory networks. Well-powered exploratory analyses failed to identify relationships with symptoms. These findings provide evidence of selective structural decline in associative networks in SCZ. Such decline may be linked with recently identified functional disturbances in associative networks, providing more sensitive multi-modal network-level probes in SCZ. Absence of symptom effects suggests that identified disturbances may underlie a trait-type marker in SCZ.
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Registered trials
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