ArticleFrontiers in neuroscience2020
Comparison of Phase Synchronization Measures for Identifying Stimulus-Induced Functional Connectivity in Human Magnetoencephalographic and Simulated Data.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Transcranial Alternating Current Stimulation at the Individual Alpha Frequency Shows Potential Value in Improving Working Memory in Healthy Participants.Brain and behavior · 2026Trial
- Neural synchrony between prefrontal and visual cortex supports visual working memory.bioRxiv : the preprint server for biology · 2026Article
- A spectral- topological network signature of drug-resistant epilepsy: a phase 1-2 study on resting-state EEG-based diagnostic biomarkers of drug resistance.NeuroImage. Clinical · 2026Observational
- Odor-induced sweetness enhancement: EEG evidence for olfactory and gustatory cross-modal interactions.Current research in food science · 2026Article
- Absence of evidence for post-training tDCS effects on motor memory consolidation and premotor-primary motor cortex interaction: a resting-state EEG study.Frontiers in human neuroscience · 2026Article
- Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.Psychological medicine · 2025Article
- Network Segregation and Integration Changes in Healthy Aging: Evidence From EEG Subbands During the Visual Short-Term Memory Binding Task.The European journal of neuroscience · 2025Article
- An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming.Frontiers in neuroergonomics · 2025Article
- Using a linear dynamic system to measure functional connectivity from M/EEG.Journal of neural engineering · 2024Article
- Neural correlates of motor learning: Network communication versus local oscillations.Network neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Brain functional connectivity based on phase lag index of electroencephalography for automated diagnosis of schizophrenia using residual neural networks.Journal of applied clinical medical physics · 2023Article
- Data on a novel approach examining the role of the cerebellum in gait performance improvement in patients with Parkinson disease receiving neurologic music therapy.Data in brief · 2023Article
- How Functional Connectivity Measures Affect the Outcomes of Global Neuronal Network Characteristics in Patients with Schizophrenia Compared to Healthy Controls.Brain sciences · 2023Article
- Evaluating the Alterations Induced by Virtual Reality in Cerebral Small-World Networks Using Graph Theory Analysis with Electroencephalography.Brain sciences · 2022Article
- Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality.Entropy (Basel, Switzerland) · 2021Article
- A Novel Technique to Detect False Data Injection Attacks on Phasor Measurement Units.Sensors (Basel, Switzerland) · 2021Article
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7 authors.
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Abstract
Phase synchronization measures are widely used for investigating inter-regional functional connectivity (FC) of brain oscillations, but which phase synchronization measure should be chosen for a given experiment remains unclear. Using neuromagnetic brain signals recorded from healthy participants during somatosensory stimuli, we compared the performance of four phase synchronization measures, imaginary part of phase-locking value, imaginary part of coherency (ImCoh), phase lag index and weighted phase lag index (wPLI), for detecting stimulus-induced FCs between the contralateral primary and ipsilateral secondary somatosensory cortices. The analyses revealed that ImCoh exhibited the best performance for detecting stimulus-induced FCs, followed by the wPLI. We found that amplitude weighting, which is related to computing both ImCoh and wPLI, effectively attenuated the influence of noise contamination. A simulation study modeling noise-contaminated periodograms replicated these findings. The present results suggest that the amplitude-dependent measures, ImCoh followed by wPLI, may have the advantage in detecting stimulus-induced FCs.
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