ArticleFrontiers in human neuroscience2015
Detection of EEG-resting state independent networks by eLORETA-ICA method.
Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 41 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.
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.
High-density EEG Evaluation of Functional Connectivity Changes in Migraine Patients Receiving Advanced Preventive Therapies (Anti-CGRP mAbs)
The Role of Resting State Networks Connectivity in Cluster Headache: a HD-EEG Study
Who cites it
41 citing papers in PubMed.
- Infraslow Closed-Loop Brain Training for Anxiety and Depression (ISAD): A pilot randomised, sham-controlled trial in adult females with internalizing disorders.Cognitive, affective & behavioral neuroscience · 2025Trial
- Stratification of Motor Cortex Excitability to Transcranial Stimulation Uncovers Functional Network Differences in Healthy Older Adults as Revealed by Resting State EEG Functional Coupling in Brain Network.Comprehensive Physiology · 2026Article
- PyCaret machine learning library with three preprocessing steps after eLORETA source estimation predicts Alzheimer's disease.Neuroimage. Reports · 2026Article
- Human brain imaging with high-density electroencephalography: Techniques and applications.The Journal of physiology · 2026Review
- Altruism Enhances Frontal Alpha Asymmetry and Reduces Sympathetic Activity: A Multimodal EEG-ECG Study With Implications for Therapeutic Interventions.Brain and behavior · 2025Article
- Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis.Brain sciences · 2025Article
- Structural inequality and temporal brain dynamics across diverse samples.Clinical and translational medicine · 2024Article
- Brain health in diverse settings: How age, demographics and cognition shape brain function.NeuroImage · 2024Article
- Resting-state EEG features modulated by depressive state in healthy individuals: insights from theta PSD, theta-beta ratio, frontal-parietal PLV, and sLORETA.Frontiers in human neuroscience · 2024Article
- Technical Considerations in EEG Source Imaging.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2024Review
- Detection of neurophysiological markers of cognitive reserve: an EEG study.Frontiers in aging neuroscience · 2024Article
- Neurophysiological markers in community-dwelling older adults with mild cognitive impairment: an EEG study.Alzheimer's research & therapy · 2023Article
- Modification of cortical electrical activity in stroke survivors with abnormal subjective visual vertical: An eLORETA study.Heliyon · 2023Article
- Repeated Transcranial Photobiomodulation with Light-Emitting Diodes Improves Psychomotor Vigilance and EEG Networks of the Human Brain.Bioengineering (Basel, Switzerland) · 2023Article
- Association between Reaction Times in the Joint Simon Task and Personality Traits.Brain sciences · 2023Article
- EEG resting-state networks in Alzheimer's disease associated with clinical symptoms.Scientific reports · 2023Article
- Effect of total sleep deprivation on effective EEG connectivity for young male in resting-state networks in different eye states.Frontiers in neuroscience · 2023Article
- Cortical electrical activity changes in healthy aging using EEG-eLORETA analysis.Neuroimage. Reports · 2022Article
- Article
- Source localized infraslow neurofeedback training in people with chronic painful knee osteoarthritis: A randomized, double-blind, sham-controlled feasibility clinical trial.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent functional magnetic resonance imaging (fMRI) studies have shown that functional networks can be extracted even from resting state data, the so called "Resting State independent Networks" (RS-independent-Ns) by applying independent component analysis (ICA). However, compared to fMRI, electroencephalography (EEG) and magnetoencephalography (MEG) have much higher temporal resolution and provide a direct estimation of cortical activity. To date, MEG studies have applied ICA for separate frequency bands only, disregarding cross-frequency couplings. In this study, we aimed to detect EEG-RS-independent-Ns and their interactions in all frequency bands. We applied exact low resolution brain electromagnetic tomography-ICA (eLORETA-ICA) to resting-state EEG data in 80 healthy subjects using five frequency bands (delta, theta, alpha, beta and gamma band) and found five RS-independent-Ns in alpha, beta and gamma frequency bands. Next, taking into account previous neuroimaging findings, five RS-independent-Ns were identified: (1) the visual network in alpha frequency band, (2) dual-process of visual perception network, characterized by a negative correlation between the right ventral visual pathway (VVP) in alpha and beta frequency bands and left posterior dorsal visual pathway (DVP) in alpha frequency band, (3) self-referential processing network, characterized by a negative correlation between the medial prefrontal cortex (mPFC) in beta frequency band and right temporoparietal junction (TPJ) in alpha frequency band, (4) dual-process of memory perception network, functionally related to a negative correlation between the left VVP and the precuneus in alpha frequency band; and (5) sensorimotor network in beta and gamma frequency bands. We selected eLORETA-ICA which has many advantages over the other network visualization methods and overall findings indicate that eLORETA-ICA with EEG data can identify five RS-independent-Ns in their intrinsic frequency bands, and correct correlations within RS-independent-Ns.
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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.