ArticlePloS one2014
EEG source connectivity analysis: from dense array recordings to brain networks.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01738516 (Contribution of High Resolution EEG Functional Connectivity Measures to Presurgical Evaluation of Patients With Intractable Epilepsy), which is not on this map. Cited by 61 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.
Contribution of High Resolution EEG Functional Connectivity Measures to Presurgical Evaluation of Patients With Intractable Epilepsy
Who cites it
61 citing papers in PubMed.
- Closed-Loop Infraslow Brain-Computer Interface can Modulate Cortical Activity and Connectivity in Individuals With Chronic Painful Knee Osteoarthritis: A Secondary Analysis of a Randomized Placebo-Controlled Clinical Trial.Clinical EEG and neuroscience · 2025Trial
- Functional connectivity during tic suppression predicts reductions in vocal tics following behavior therapy in children with Tourette syndrome.Psychological medicine · 2023Trial
- Effect of Electrical Muscle Stimulation and Resistance Exercise Intervention on Physical and Brain Function in Middle-Aged and Older Women.International journal of environmental research and public health · 2022Trial
- Combined Yoga and Transcranial Direct Current Stimulation Increase Functional Connectivity and Synchronization in the Frontal Areas.Brain topography · 2022Trial
- Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026Article
- Anatomical-connectivity-guided functional connectivity reveals task-relevant pathways during proactive task-switching via recurrent graph neural networks.Brain informatics · 2026Article
- Exploring Dynamic Alpha Band Connectivity in Parkinson's Disease: A Novel Approach to Postural Control Assessment Using the BioVRSea Paradigm.Brain topography · 2026Article
- Concurrent observation and physical practice facilitates early closed motor skill learning: evidence from EEG source functional connectivity and behavioral performance.Frontiers in psychology · 2026Article
- Dual-site theta stimulation modulates connectivity, but not sequence memory in older adults.Brain communications · 2026Article
- Predicting creative behavior using resting-state electroencephalography.Communications biology · 2024Article
- Network representation of multicellular activity in pancreatic islets: Technical considerations for functional connectivity analysis.PLoS computational biology · 2024Article
- Temporal Properties of Self-Prioritization.Entropy (Basel, Switzerland) · 2024Article
- Mandarin-speaking children with different types of cochlear implant exhibit variations in the activation patterns of their central auditory processing.Frontiers in neuroscience · 2024Article
- Close to me but unreachable: spotting the link between peripersonal space and empathy.Social cognitive and affective neuroscience · 2023Article
- Aberrant temporal correlations of ongoing oscillations in disorders of consciousness on multiple time scales.Cognitive neurodynamics · 2023Article
- Successful reproduction of a large EEG study across software packages.Neuroimage. Reports · 2023Article
- Exploring the Effects of EEG-Based Alpha Neurofeedback on Working Memory Capacity in Healthy Participants.Bioengineering (Basel, Switzerland) · 2023Article
- Visual Occlusions Result in Phase Synchrony Within Multiple Brain Regions Involved in Sensory Processing and Balance Control.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- A multidimensional model of memory complaints in older individuals and the associated hub regions.Frontiers in aging neuroscience · 2023Article
- Altered functional connectivity: A possible reason for reduced performance during visual cognition involving scene incongruence and negative affect.IBRO neuroscience reports · 2022Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent past years have seen a noticeable increase of interest for electroencephalography (EEG) to analyze functional connectivity through brain sources reconstructed from scalp signals. Although considerable advances have been done both on the recording and analysis of EEG signals, a number of methodological questions are still open regarding the optimal way to process the data in order to identify brain networks. In this paper, we analyze the impact of three factors that intervene in this processing: i) the number of scalp electrodes, ii) the combination between the algorithm used to solve the EEG inverse problem and the algorithm used to measure the functional connectivity and iii) the frequency bands retained to estimate the functional connectivity among neocortical sources. Using High-Resolution (hr) EEG recordings in healthy volunteers, we evaluated these factors on evoked responses during picture recognition and naming task. The main reason for selection this task is that a solid literature background is available about involved brain networks (ground truth). From this a priori information, we propose a performance criterion based on the number of connections identified in the regions of interest (ROI) that belong to potentially activated networks. Our results show that the three studied factors have a dramatic impact on the final result (the identified network in the source space) as strong discrepancies were evidenced depending on the methods used. They also suggest that the combination of weighted Minimum Norm Estimator (wMNE) and the Phase Synchronization (PS) methods applied on High-Resolution EEG in beta/gamma bands provides the best performance in term of topological distance between the identified network and the expected network in the above-mentioned cognitive task.
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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.