SynthesisSchizophrenia research2022
Structural covariance networks in schizophrenia: A systematic review Part I.
Synthesis in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Reduced Whole-Brain Network Segregation and Dorsal Anterior-Cingulate Cortex Neurochemical Alterations in Chronic Smokers.Brain and behavior · 2026Article
- Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study.Molecular psychiatry · 2026Article
- Risperidone reduces individualized morphometric similarity deviation in schizophrenia and associates with cortical transcriptomic patterns.Schizophrenia (Heidelberg, Germany) · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Distinct structural deficits in treatment-resistant schizophrenia and their putative neurotransmitter basis: a source-based morphometry analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Thalamocortical Structural Covariation Networks Are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study.Biological psychiatry · 2025Article
- Aberrant Cortical Morphological Networks in First-Episode Schizophrenia.Schizophrenia bulletin · 2025Article
- Progressive gray matter reduction in schizophrenia patients with persistent auditory hallucinations by causal structural covariance network analysis.Psychological medicine · 2025Article
- Anterior-posterior systematic deficits of cortical thickness in early-onset schizophrenia.Communications biology · 2025Article
- [Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program.Schizophrenia (Heidelberg, Germany) · 2025Article
- Local Structural Indices Changes During Different Periods of Postherpetic Neuralgia: A Graphical Study in Structural Covariance Networks.Journal of pain research · 2025Article
- Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia.Frontiers in psychiatry · 2025Article
- Intra-individual structural covariance network in schizophrenia patients with persistent auditory hallucinations.Schizophrenia (Heidelberg, Germany) · 2024Article
- Changes in Structural Covariance among Olfactory-related Brain Regions in Anosmia Patients.Experimental neurobiology · 2024Article
- Associations Between Structural Covariance Network and Antipsychotic Treatment Response in Schizophrenia.Schizophrenia bulletin · 2024Article
- Cerebro-cerebellar gray matter abnormalities associated with cognitive impairment in patients with recent-onset and chronic schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Selective disrupted gray matter volume covariance of amygdala subregions in schizophrenia.Frontiers in psychiatry · 2024Article
- Multipronged investigation of morphometry and connectivity of hippocampal network in relation to risk for psychosis using ultrahigh field MRI.Schizophrenia research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundSchizophrenia is proposed as a disorder of dysconnectivity. However, examination of complexities of dysconnectivity has been challenging. Structural covariance networks (SCN) provide important insights into the nature of dysconnectivity. This systematic review examines the SCN studies that employed statistical approaches to elucidate covariation of regional morphometric variations.
methodsA systematic search of literature was conducted for peer-reviewed publications using different keywords and keyword combinations for schizophrenia. Fifty-two studies met the criteria.
resultsEarly SCN studies began using correlational structure of selected regions. Over the last 3 decades, methodological approaches have grown increasingly sophisticated from examining selected brain regions using correlation tests on small sample sizes to recent approaches that use advanced statistical methods to examine covariance structure of whole-brain parcellations on larger samples. Although the results are not fully consistent across all studies, a pattern of fronto-temporal, fronto-parietal and fronto-thalamic covariation is reported. Attempts to associate SCN alterations with functional connectivity, to differentiate between disease-related and neurodevelopment-related morphometric changes, and to develop "causality-based" models are being reported. Clinical correlation with outcome, psychotic symptoms, neurocognitive and social cognitive performance are also reported.
conclusionsApplication of advanced statistical methods are beginning to provide insights into interesting patterns of regional covariance including correlations with clinical and cognitive data. Although these findings appear similar to morphometric studies, SCNs have the advantage of highlighting topology of these regions and their relationship to the disease and associated variables. Further studies are needed to investigate neurobiological underpinnings of shared covariance, and causal links to clinical domains.
Indexed as
Identifiers
What 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.