Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data
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Summary
Four recursive tvMVAR algorithms are critically compared and their performance while systematically varying adaptation coefficients, model order, and signal sampling rate is assessed to identify strengths and weaknesses and provide practical recommendations for their application to modeling dynamic directed interactions from electrophysiological signals.
- Type
- article
- Published
- 2018-06-11
- Cited by
- 54
- References
- 81
- Access
- Open access
- OpenAlex
- https://openalex.org/W2808484379
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:48355405
Keywords
Upsampling, Benchmark (surveying), Computer science, Autoregressive model, Sensitivity (control systems)
References
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- Interactions between feedback and lateral connections in the primary visual cortex
- Extrastriate Cortex in Primates
- The Dynamic Brain: Modeling Neural Dynamics and Interactions From Human Electrophysiological Recordings
- The determination of the order of an autoregression
- Bootstrap confidence intervals
- The brainweb: Phase synchronization and large-scale integration
- Generalized Partial Directed Coherence
- Large-scale cortical networks and cognition
- Emerging concepts for the dynamical organization of resting-state activity in the brain
- Dynamic cross-spectral analysis of biological signals by means of bivariate ARMA processes with time-dependent coefficients
- Functional Development of Large-Scale Sensorimotor Cortical Networks in the Brain
- Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function
- The physiological plausibility of time-varying Granger-causal modeling: Normalization and weighting by spectral power
- A comparison of multivariate causality based measures of effective connectivity
- Dynamic connectivity among cortical layers in local and large‐scale sensory processing
- Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
- Towards the time varying estimation of complex brain connectivity networks by means of a General Linear Kalman Filter approach
- A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials
- Instantaneous multivariate EEG coherence analysis by means of adaptive high-dimensional autoregressive models.
Cited by
- Benchmarking nonparametric Granger causality: Robustness against downsampling and influence of spectral decomposition parameters
- Assessing the performance of Granger–Geweke causality: Benchmark dataset and simulation framework
- A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs
- Directed functional connections underlying spontaneous brain activity
- A Novel Framework for Estimating Time-Varying Multivariate Autoregressive Models and Application to Cardiovascular Responses to Acute Exercise
- A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity*
- Modeling time-varying brain networks with a self-tuning optimized Kalman filter
- Overlapping connectivity patterns during semantic processing of abstract and concrete words revealed with multivariate Granger Causality analysis
- Nested oscillations and brain connectivity during sequential stages of feature-based attention
- A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals
- Dynamic changes of brain networks during feedback-related processing of reinforcement learning in schizophrenia.
- Seizure-onset regions demonstrate high inward directed connectivity during resting-state: An SEEG study in focal epilepsy
- SimMEEG software for simulating event-related MEG and EEG data with underlying functional connectivity.
- BCI Training Effects on Chronic Stroke Correlate with Functional Reorganization in Motor-Related Regions: A Concurrent EEG and fMRI Study
- Functional and directed connectivity of the cortico-limbic network in mice in vivo
- Nonstationary coupling between heart rate and perfusion index in extremely preterm infants in the first day of life
- Parasympathetic-Sympathetic Causal Interactions Assessed by Time-Varying Multivariate Autoregressive Modeling of Electrodermal Activity and Heart-Rate-Variability
- Graph theoretical analysis based on EEG effective connectivity in ADHD children
- A survey of brain network analysis by electroencephalographic signals
- Cortical network and connectivity underlying hedonic olfactory perception
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