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EEG Coupling, Granger Causality and Multivariate Autoregressive Models
Published on Sep 24, 200719331 Views
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Chapter list
EEG Coupling, Granger Causality and Multivariate Autoregressive Models00:01
Examples of Coupling00:25
Many Different Coupling Measures Are In Use01:04
Simulation01:55
Auto- & Crossspectra pt 103:54
Coherency, Coherence (COH)04:35
Imaginary Coherence (iCOH)05:43
Phase Differences and Time Delay06:49
Partial Coherence (pCOH)08:10
Directed Transfer Function (DTF) pt 109:48
Partial Directed Coherence (PDC)11:11
Which Measure12:37
Which Measure - PDC13:21
EEG Data – Motor Imagery13:37
Auto- & Crossspectra pt 216:54
Coherence18:24
Phase19:15
Imaginary Coherence19:33
Partial Coherence20:41
Directed Transfer Function (DTF) pt 221:09
Partial Directed Coherence PDC - Left Hand Imagery21:24
Partial Directed Coherence PDC - Right Hand Imagery21:57
All These Coupling Measures Are Based On a Multivariate Autoregressive (MVAR) Model22:23
Is the Volume Conduction Problem Solved - No23:09
Gamma Response In Familiar vs Unfamiliar Object Presentation25:49
MVAR Is More Than MV+AR, CSSP, ICA+FFT, etc28:29
Comparison of Multivariate Autoregressive (MVAR) Estimators31:09
Summary32:16
References35:35
Thank You35:39