Analyzing event-related EEG data with multivariate autoregressive parameters.
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Measures of Coupling between Neural Populations Based on Granger Causality PrincipleImproving neurovascular outcomes with bilateral forepaw stimulation in a rat photothrombotic ischemic stroke modelDynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).iVAR: a program for imputing missing data in multivariate time series using vector autoregressive models.Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality.Midline frontal cortex low-frequency activity drives subthalamic nucleus oscillations during conflictAssessing dynamic spectral causality by lagged adaptive directed transfer function and instantaneous effect factorInvestigating causality between interacting brain areas with multivariate autoregressive models of MEG sensor data.Connectivity measures applied to human brain electrophysiological data.Inhibition of propofol anesthesia on functional connectivity between LFPs in PFC during rat working memory task.SCoT: a Python toolbox for EEG source connectivity.GALA: group analysis leads to accuracy, a novel approach for solving the inverse problem in exploratory analysis of group MEG recordings.Across-study and within-subject functional connectivity of a right temporo-parietal junction subregion involved in stimulus-context integration.Dynamic recruitment of resting state sub-networksRe-entrant projections modulate visual cortex in affective perception: evidence from Granger causality analysisToward a model-based predictive controller design in brain-computer interfaces.A novel method for the identification of synchronization effects in multichannel ECoG with an application to epilepsyDecisions Made with Less Evidence Involve Higher Levels of Corticosubthalamic Nucleus Theta Band Synchrony.Connectivity measures in the Poffenberger paradigm indicate hemispheric asymmetries.Recent advances in modeling and analysis of bioelectric and biomagnetic sources.Identification of the Epileptogenic Zone from Stereo-EEG Signals: A Connectivity-Graph Theory Approach.Seizure-Onset Mapping Based on Time-Variant Multivariate Functional Connectivity Analysis of High-Dimensional Intracranial EEG: A Kalman Filter Approach.Involvement of human internal globus pallidus in the early modulation of cortical error-related activity.Testing for Granger Causality in the Frequency Domain: A Phase Resampling Method.Quantifying auditory event-related responses in multichannel human intracranial recordings.Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study.Directed coupling in local field potentials of macaque v4 during visual short-term memory revealed by multivariate autoregressive models.Reliability of EEG Measures of Interaction: A Paradigm Shift Is Needed to Fight the Reproducibility Crisis.Volume Conduction Influences Scalp-Based Connectivity Estimates.Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage.Increased frontomotor oscillations during tic suppression in children with Tourette syndrome.Functional integration within the human pain system as revealed by Granger causality.Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo.Directly assessing interpersonal RSA influences in the frequency domain: An illustration with generalized partial directed coherence.A Time-Varying Connectivity Analysis from Distributed EEG Sources: A Simulation Study.Enhanced low-frequency oscillatory activity of the subthalamic nucleus in a patient with dystonia.The control of complex finger movements by directional information flow between mesial frontocentral areas and the primary motor cortex.Discriminative learning of propagation and spatial pattern for motor imagery EEG analysis.Frequency domain connectivity identification: an application of partial directed coherence in fMRI.Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data
P2860
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P2860
Analyzing event-related EEG data with multivariate autoregressive parameters.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Analyzing event-related EEG data with multivariate autoregressive parameters.
@ast
Analyzing event-related EEG data with multivariate autoregressive parameters.
@en
type
label
Analyzing event-related EEG data with multivariate autoregressive parameters.
@ast
Analyzing event-related EEG data with multivariate autoregressive parameters.
@en
prefLabel
Analyzing event-related EEG data with multivariate autoregressive parameters.
@ast
Analyzing event-related EEG data with multivariate autoregressive parameters.
@en
P1476
Analyzing event-related EEG data with multivariate autoregressive parameters.
@en
P2093
Gernot Supp
P304
P356
10.1016/S0079-6123(06)59009-0
P577
2006-01-01T00:00:00Z