ArticleSchizophrenia research2019
Relationship between MEG global dynamic functional network connectivity measures and symptoms in schizophrenia.
Article in Schizophrenia research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging.PloS one · 2026Article
- Multiscale Permutation Time Irreversibility Analysis of MEG in Patients with Schizophrenia.Entropy (Basel, Switzerland) · 2025Article
- Altered static and dynamic functional network connectivity in primary angle-closure glaucoma patients.Scientific reports · 2024Article
- Increased functional connectivity between default mode network and visual network potentially correlates with duration of residual dizziness in patients with benign paroxysmal positional vertigo.Frontiers in neurology · 2024Article
- From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications.NeuroImage. Clinical · 2024Review
- Disrupted dynamic functional network connectivity in fetal alcohol spectrum disorders.Alcohol, clinical & experimental research · 2023Article
- Abnormal dynamic functional network connectivity in patients with early-onset bipolar disorder.Frontiers in psychiatry · 2023Article
- Multiscale Weighted Permutation Entropy Analysis of Schizophrenia Magnetoencephalograms.Entropy (Basel, Switzerland) · 2022Article
- Atypical Resting-State Functional Connectivity Dynamics Correlate With Early Cognitive Dysfunction in HIV Infection.Frontiers in neurology · 2020Article
- Test-Retest Reliability of Magnetoencephalography Resting-State Functional Connectivity in Schizophrenia.Frontiers in psychiatry · 2020Article
- Dynamic Functional Connectivity Patterns in Schizophrenia and the Relationship With Hallucinations.Frontiers in psychiatry · 2020Article
- Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances.Brain sciences · 2019Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
An investigation of differences in dynamic functional network connectivity (dFNC) of healthy controls (HC) versus that of schizophrenia patients (SP) was completed, using eyes-open resting state MEG data. The MEG analysis utilized a source-space activity estimate (MNE/dSPM) whose result was the input to a group spatial independent component analysis (ICA), on which the networks of our MEG dFNC analysis were based. We have previously reported that our MEG dFNC revealed that SP change between brain meta-states (repeating patterns of network correlations which are allowed to overlap in time) significantly more often and to states which are more different, relative to HC. Here, we extend our previous work to investigate the relationship between symptomology in SP and four meta-state metrics. We found a significant correlation between positive symptoms and the two meta-state metrics which showed significant differences between HC and SP. These two statistics quantified 1) how often individuals change state and 2) the total distance traveled within the state-space. We additionally found that a clustering of the meta-state metrics divides SP into groups which vary in symptomology. These results indicate specific relationships between symptomology and brain function for SP.
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Registered trials
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