ArticleBrain connectivity2019
Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story?
Article in Brain connectivity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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
27 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
- What Static Connectivity Misses: Dynamic Alpha-Band Brain Network States in First-Episode Psychosis.Brain topography · 2026Article
- MAMBAxBrain: A Multi-task Neural Framework Linking Brain Functional Dynamics to Individual Fingerprints, Cognitive and Disease States.bioRxiv : the preprint server for biology · 2026Article
- Time course of functional and structural brain network changes after mild traumatic brain injury.Brain communications · 2026Article
- Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia.Frontiers in psychiatry · 2024Article
- Functional Connectivity Biomarkers in Schizophrenia.Advances in neurobiology · 2024Review
- 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
- Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics.Neuroimage. Reports · 2023Article
- Disrupted dynamic functional network connectivity in fetal alcohol spectrum disorders.Alcohol, clinical & experimental research · 2023Article
- Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia.bioRxiv : the preprint server for biology · 2023Article
- Structural differences among children, adolescents, and adults with attention-deficit/hyperactivity disorder and abnormal Granger causality of the right pallidum and whole-brain.Frontiers in human neuroscience · 2023Article
- Impaired dynamic functional brain properties and their relationship to symptoms in never treated first-episode patients with schizophrenia.Schizophrenia (Heidelberg, Germany) · 2022Article
- Fast cortical surface reconstruction from MRI using deep learning.Brain informatics · 2022Article
- Combining Dynamic Network Analysis and Cerebral Carryover Effect to Evaluate the Impacts of Reading Social Media Posts and Science Fiction in the Natural State on the Human Brain.Frontiers in neuroscience · 2022Article
- Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task.Frontiers in neuroscience · 2022Article
- Identification of minimal hepatic encephalopathy based on dynamic functional connectivity.Brain imaging and behavior · 2021Article
- Dynamic neural circuit disruptions associated with antisocial behaviors.Human brain mapping · 2021Article
- Differences in Disrupted Dynamic Functional Network Connectivity Among Children, Adolescents, and Adults With Attention Deficit/Hyperactivity Disorder: A Resting-State fMRI Study.Frontiers in human neuroscience · 2021Article
- Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity.Frontiers in neural circuits · 2021Article
- Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia.NeuroImage. Clinical · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The importance of how brain networks function together to create brain states has become increasingly recognized. Therefore, an investigation of eyes-open resting-state dynamic functional network connectivity (dFNC) of healthy controls (HC) versus that of schizophrenia patients (SP) via both functional magnetic resonance imaging (fMRI) and a novel magnetoencephalography (MEG) pipeline was completed. The fMRI analysis used a spatial independent component analysis (ICA) to determine the networks on which the dFNC was based. The MEG analysis utilized a source space activity estimate (minimum norm estimate [MNE]/dynamic statistical parametric mapping [dSPM]) whose result was the input to a spatial ICA, on which the networks of the MEG dFNC were based. We found that dFNC measures reveal significant differences between HC and SP, which depended on the imaging modality. Consistent with previous findings, a dFNC analysis predicated on fMRI data revealed HC and SP remain in different overall brain states (defined by a k-means clustering of network correlations) for significantly different periods of time, with SP spending less time in a highly connected state. The MEG dFNC, in contrast, revealed group differences in more global statistics: SP changed between meta-states (k-means cluster states that are allowed to overlap in time) significantly more often and to states that were more different, relative to HC. MEG dFNC also revealed a highly connected state where a significant difference was observed in interindividual variability, with greater variability among SP. Overall, our results show that fMRI and MEG reveal between-group functional connectivity differences in distinct ways, highlighting the utility of using each of the modalities individually, or potentially a combination of modalities, to better inform our understanding of disorders such as schizophrenia.
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