ArticleScientific reports2022
The thresholding problem and variability in the EEG graph network parameters.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 55 citations in OpenAlex.
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- Disrupted Higher-Order Topology in OCD Brain Networks Revealed by Hodge Laplacian - an ENIGMA Study.bioRxiv : the preprint server for biology · 2026Article
- How aging impacts cortical dynamics and gait during dual-task turning revealed by fNIRS.GeroScience · 2026Article
- Perspective-taking in video advertising: insights from EEG connectivity and channel-wise spectral analysis.Frontiers in behavioral neuroscience · 2026Article
- Optimal channel selection of electroencephalography based on functional network via global graph measurements: application for epilepsy.Scientific reports · 2025Article
- Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.Human brain mapping · 2025Article
- Functional Importance Backbones of the Brain at Rest, Wakefulness, and Sleep.Brain sciences · 2025Article
- Age-Specific Functional Connectivity Changes After Partial Sleep Deprivation Are Correlated With Neurocognitive and Molecular Signatures.CNS neuroscience & therapeutics · 2025Article
- Classification of Imagined Speech Signals Using Functional Connectivity Graphs and Machine Learning Models.Brain topography · 2025Article
- Identification of brain-like complex information architectures in embryonic tissue ofCommunicative & integrative biology · 2025Article
- Distinct neural patterns for various information in working memory: A brain connectivity study.PloS one · 2025Article
- Effects of rTMS on swallowing function and neuroimaging features in post-stroke dysphagia.Frontiers in human neuroscience · 2025Article
- Functional connectivity in burnout syndrome: a resting-state EEG study.Frontiers in human neuroscience · 2025Article
- Task-specific topology of brain networks supporting working memory and inhibition.Human brain mapping · 2024Article
- An Analytical Approach for Naturalistic Cooperative and Competitive EEG-Hyperscanning Data: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2024Article
- The impact of sleep disorders on brain network connectivity in postpartum women: a functional near-infrared spectroscopy-based study.Frontiers in neurology · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graph thresholding is a frequently used practice of eliminating the weak connections in brain functional connectivity graphs. The main aim of the procedure is to delete the spurious connections in the data. However, the choice of the threshold is arbitrary, and the effect of the threshold choice is not fully understood. Here we present the description of the changes in the global measures of a functional connectivity graph depending on the different proportional thresholds based on the 146 resting-state EEG recordings. The dynamics is presented in five different synchronization measures (wPLI, ImCoh, Coherence, ciPLV, PPC) in sensors and source spaces. The analysis shows significant changes in the graph's global connectivity measures as a function of the chosen threshold which may influence the outcome of the study. The choice of the threshold could lead to different study conclusions; thus it is necessary to improve the reasoning behind the choice of the different analytic options and consider the adoption of different analytic approaches. We also proposed some ways of improving the procedure of thresholding in functional connectivity research.
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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.