ArticleHuman brain mapping2021
Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Functional Aspects of Resting EEG Microstates: A Systematic Review.Brain topography · 2024Pooled it
- Acute effects of selective serotonin reuptake inhibitors on cerebral glucose metabolism and blood flow.Translational psychiatry · 2026Trial
- Relational Integration Training Modulated the Frontoparietal Network for Fluid Intelligence: An EEG Microstates Study.Brain topography · 2025Trial
- Back to the Future of qEEG: Lifespan Normative Modeling of Spectral Ratios and Functional Indices with Potential Applications to Therapeutic Monitoring.Brain topography · 2026Article
- Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.Current biology : CB · 2026Article
- Age-group differences between young and middle-aged adults in spatiotemporal EEG dynamics revealed by instantaneous frequency microstate analysis.Frontiers in aging neuroscience · 2026Article
- Acute and Subacute Effects of Session with the EXOPULSE Mollii Suit in a Multiple Sclerosis Patient: A Case Report.Bioengineering (Basel, Switzerland) · 2025Article
- Integrating Cortical Source Reconstruction and Adversarial Learning for EEG Classification.Sensors (Basel, Switzerland) · 2025Article
- Vertical Topography in EEG Microstates: Physiology or Artifact Manifestation?Human brain mapping · 2025Article
- Consistency of resting-state correlations between fMRI networks and EEG band power.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Future prospects for image-derived input function in molecular imaging quantification with the 7 T MR-BrainPET insert.Frontiers in neuroscience · 2025Article
- Enhancing Attention Network Spatiotemporal Dynamics for Motor Rehabilitation in Parkinson's Disease.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Normative Intercorrelations Between EEG Microstate Characteristics.Brain topography · 2024Article
- Electrocorticographic Activation Patterns of Electroencephalographic Microstates.Brain topography · 2024Article
- Atypical instantaneous spatio-temporal patterns of neural dynamics in Alzheimer's disease.Scientific reports · 2024Article
- The effect of deep brain stimulation in Parkinson's disease reflected in EEG microstates.NPJ Parkinson's disease · 2023Article
- Maternal psychological distress associates with alterations in resting-state low-frequency fluctuations and distal functional connectivity of the neonate medial prefrontal cortex.The European journal of neuroscience · 2023Article
- Automatic theranostics for long-term neurorehabilitation after stroke.Frontiers in aging neuroscience · 2023Article
- Resting-state EEG microstates as electrophysiological biomarkers in post-stroke disorder of consciousness.Frontiers in neuroscience · 2023Article
- Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset.Frontiers in aging neuroscience · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous trimodal positron emission tomography/magnetic resonance imaging/electroencephalography (PET/MRI/EEG) resting state (rs) brain data were acquired from 10 healthy male volunteers. The rs-functional MRI (fMRI) metrics, such as regional homogeneity (ReHo), degree centrality (DC) and fractional amplitude of low-frequency fluctuations (fALFFs), as well as 2-[18F]fluoro-2-desoxy-d-glucose (FDG)-PET standardised uptake value (SUV), were calculated and the measures were extracted from the default mode network (DMN) regions of the brain. Similarly, four microstates for each subject, showing the diverse functional states of the whole brain via topographical variations due to global field power (GFP), were estimated from artefact-corrected EEG signals. In this exploratory analysis, the GFP of microstates was nonparametrically compared to rs-fMRI metrics and FDG-PET SUV measured in the DMN of the brain. The rs-fMRI metrics (ReHO, fALFF) and FDG-PET SUV did not show any significant correlations with any of the microstates. The DC metric showed a significant positive correlation with microstate C (r
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Registered trials
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