ArticlePloS one2016
Large-Scale Functional Networks Identified from Resting-State EEG Using Spatial ICA.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 75 citations in OpenAlex.
- Temporal synchrony and spatial similarity of interbrain subnetworks predict dyadic social interaction.Communications biology · 2026Article
- Enhanced fNIRS-Based MCI Detection via Resting-State and Task-State Integration With Spatial-Temporal Feature Reduction.IEEE journal of translational engineering in health and medicine · 2026Article
- Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Comparison of lateralization and spatial patterns of hemodynamic and neuromagnetic language brain mapping.Clinical neurophysiology practice · 2025Article
- Spatial (mis)match between EEG and fMRI signal patterns revealed by spatio-spectral source-space EEG decomposition.Frontiers in neuroscience · 2025Article
- Comparison between EEG and MEG of static and dynamic resting-state networks.Human brain mapping · 2024Article
- Spectral-switching analysis reveals real-time neuronal network representations of concurrent spontaneous naturalistic behaviors in human brain.bioRxiv : the preprint server for biology · 2024Article
- Effect of total sleep deprivation on effective EEG connectivity for young male in resting-state networks in different eye states.Frontiers in neuroscience · 2023Article
- Offline EEG hyper-scanning using anonymous walk embeddings in tacit coordination games.PloS one · 2023Article
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- Open Eyes Increase Neural Oscillation and Enhance Effective Brain Connectivity of the Default Mode Network: Resting-State Electroencephalogram Research.Frontiers in neuroscience · 2022Article
- Detection of Resting-State Functional Connectivity from High-Density Electroencephalography Data: Impact of Head Modeling Strategies.Brain sciences · 2021Article
- Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis.Human brain mapping · 2021Article
- Assessing the Relationship between Verbal and Nonverbal Cognitive Abilities Using Resting-State EEG Functional Connectivity.Brain sciences · 2021Article
- Oscillation-Based Connectivity Architecture Is Dominated by an Intrinsic Spatial Organization, Not Cognitive State or Frequency.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning.Computational intelligence and neuroscience · 2021Review
- The topology of higher-order complexes associated with brain hubs in human connectomes.Scientific reports · 2020Article
- Experimental evaluation of methods for real-time EEG phase-specific transcranial magnetic stimulation.Journal of neural engineering · 2020Article
- Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening.Brain topography · 2020Article
- Frontal theta and posterior alpha in resting EEG: A critical examination of convergent and discriminant validity.Psychophysiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several methods have been applied to EEG or MEG signals to detect functional networks. In recent works using MEG/EEG and fMRI data, temporal ICA analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. Since the links between the fMRI signal and the electromagnetic signals are not fully established, and to avoid any bias, we examined whether EEG alone was able to derive the spatial distribution and temporal characteristics of functional networks. To do so, we propose a two-step original method: 1) An individual multi-frequency data analysis including EEG-based source localisation and spatial independent component analysis, which allowed us to characterize the resting-state networks. 2) A group-level analysis involving a hierarchical clustering procedure to identify reproducible large-scale networks across the population. Compared with large-scale resting-state networks obtained with fMRI, the proposed EEG-based analysis revealed smaller independent networks thanks to the high temporal resolution of EEG, hence hierarchical organization of networks. The comparison showed a substantial overlap between EEG and fMRI networks in motor, premotor, sensory, frontal, and parietal areas. However, there were mismatches between EEG-based and fMRI-based networks in temporal areas, presumably resulting from a poor sensitivity of fMRI in these regions or artefacts in the EEG signals. The proposed method opens the way for studying the high temporal dynamics of networks at the source level thanks to the high temporal resolution of EEG. It would then become possible to study detailed measures of the dynamics of connectivity.
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.