ArticleBrain topography2018
A Time-Varying Connectivity Analysis from Distributed EEG Sources: A Simulation Study.
Article in Brain topography, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- The electrophysiological basis of resting-state fMRI hyperconnectivity in early Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- Cortical alpha changes during visuospatial attention: a deep learning-enriched EEG analysis.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- A deep learning-enriched framework for analyzing brain functional connectivity.Scientific reports · 2025Article
- Neural correlates of minimal recognizable configurations in the human brain.Cell reports · 2025Article
- EEG-based graph network analysis in relation to regional tau in asymptomatic Alzheimer's disease.Brain communications · 2025Article
- An evaluation of inter-brain EEG coupling methods in hyperscanning studies.Cognitive neurodynamics · 2024Article
- Identifying good practices for detecting inter-regional linear functional connectivity from EEG.NeuroImage · 2023Article
- Modulations of Cortical Power and Connectivity in Alpha and Beta Bands during the Preparation of Reaching Movements.Sensors (Basel, Switzerland) · 2023Article
- Dynamic Connectivity Analysis Using Adaptive Window Size.Sensors (Basel, Switzerland) · 2022Article
- Brain functional and effective connectivity based on electroencephalography recordings: A review.Human brain mapping · 2022Review
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- Bottom-Up and Top-Down Attention Impairment Induced by Long-Term Exposure to Noise in the Absence of Threshold Shifts.Frontiers in neurology · 2022Article
- Age-related hearing loss is associated with alterations in temporal envelope processing in different neural generators along the auditory pathway.Frontiers in neurology · 2022Article
- Inhibitory and excitatory responses in the dorso-medial prefrontal cortex during threat processing.Frontiers in neuroscience · 2022Article
- Changes in Brain Electrical Activity According to Post-traumatic Stress Symptoms in Survivors of the Sewol Ferry Disaster: A 1-year Longitudinal Study.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021Article
- SEED-G: Simulated EEG Data Generator for Testing Connectivity Algorithms.Sensors (Basel, Switzerland) · 2021Article
- Brain mapping of auditory steady-state responses: A broad view of cortical and subcortical sources.Human brain mapping · 2021Article
- Modeling time-varying brain networks with a self-tuning optimized Kalman filter.PLoS computational biology · 2020Article
- Overlapping connectivity patterns during semantic processing of abstract and concrete words revealed with multivariate Granger Causality analysis.Scientific reports · 2020Article
- Neural Generators Underlying Temporal Envelope Processing Show Altered Responses and Hemispheric Asymmetry Across Age.Frontiers in aging neuroscience · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Time-varying connectivity analysis based on sources reconstructed using inverse modeling of electroencephalographic (EEG) data is important to understand the dynamic behaviour of the brain. We simulated cortical data from a visual spatial attention network with a time-varying connectivity structure, and then simulated the propagation to the scalp to obtain EEG data. Distributed EEG source modeling using sLORETA was applied. We compared different dipole (representing a source) selection strategies based on their time series in a region of interest. Next, we estimated multivariate autoregressive (MVAR) parameters using classical Kalman filter and general linear Kalman filter approaches followed by the calculation of partial directed coherence (PDC). MVAR parameters and PDC values for the selected sources were compared with the ground-truth. We found that the best strategy to extract the time series of a region of interest was to select a dipole with time series showing the highest correlation with the average time series in the region of interest. Dipole selection based on power or based on the largest singular value offer comparable alternatives. Among the different Kalman filter approaches, the use of a general linear Kalman filter was preferred to estimate PDC based connectivity except when only a small number of trials are available. In the latter case, the classical Kalman filter can be an alternative.
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