ArticleScientific reports2024
Tracking EEG network dynamics through transitions between eyes-closed, eyes-open, and task states.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Frequency-decomposed EEG microstate analysis reveals altered cross-frequency coordination in adolescent major depressive disorder.European archives of psychiatry and clinical neuroscience · 2026Article
- The Relationship Between the Functional Integration and Topological Complexity of Human Electroencephalographic (EEG) Signals: Three Moderating Factors.Brain sciences · 2026Article
- EEG Microstate Alterations in Eyes-Open and Eyes-Closed Resting States Across the Alzheimer's Disease Continuum.Journal of clinical medicine · 2026Article
- Mapping Executive Function Performance Based on Resting-State EEG in Healthy Individuals: A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Distinct roles of brain network flexibility in motor learning across age.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Mental fatigue in football: methodology and experimental protocol.Frontiers in sports and active living · 2026Article
- Quantitative electroencephalography as a next-generation tool in neurodiagnostics: significance, clinical applications, and practical interpretative frameworks.Frontiers in neuroscience · 2026Review
- Enhancing mobile EEG: Software development and performance insights of the DreamMachine.HardwareX · 2025Article
- Neural transmission in the wired brain, new insights into an encoding-decoding-based neuronal communication model.Translational psychiatry · 2025Article
- Dimensionality reduction of quantitative EEG and clinical profiles uncover associations with monogenic neurodevelopmental phenotypes in SNAREopathies.Frontiers in neuroscience · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Our study aimed to verify the possibilities of effectively applying chronnectomics methods to reconstruct the dynamic processes of network transition between three types of brain states, namely, eyes-closed rest, eyes-open rest, and a task state. The study involved dense EEG recordings and reconstruction of the source-level time-courses of the signals. Functional connectivity was measured using the phase lag index, and dynamic analyses concerned coupling strength and variability in alpha and beta frequencies. The results showed significant and dynamically specific transitions regarding processes of eyes opening and closing and during the eyes-closed-to-task transition in the alpha band. These observations considered a global dimension, default mode network, and central executive network. The decrease of connectivity strength and variability that accompanied eye-opening was a faster process than the synchronization increase during eye-opening, suggesting that these two transitions exhibit different reorganization times. While referring the obtained results to network studies, it was indicated that the scope of potential similarities and differences between rest and task-related networks depends on whether the resting state was recorded in eyes closed or open condition.
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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.