Dynamic functional connectivity analysis based on time-varying partial correlation with a copula-DCC-GARCH model

Keyphrases

• Dynamic Functional Connectivity 100%
• Partial Correlation 100%
• Copula 100%
• Generalized Autoregressive Conditional Heteroscedasticity (GARCH) 100%
• Dynamic Conditional Correlation 100%
• Functional Magnetic Resonance Imaging 60%
• Human Brain 60%
• Correlation-based Method 40%
• Region of Interest 20%
• Statistical Model 20%
• Human Participants 20%
• Brain Regions 20%
• Network Structure 20%
• Cortex 20%
• Effective Method 20%
• Preprocessing Techniques 20%
• Pair Correlation 20%
• Recursive Algorithm 20%
• Numerical Simulation Results 20%
• Robustness to Noise 20%
• Statistical Measures 20%
• Gaussian Distribution 20%
• Gaussian Copula 20%
• Interconnection Structure 20%
• Noise Distribution 20%
• Neuroimaging Analysis 20%
• Pixar 20%
• Animated Movies 20%
• Two-step Procedure 20%
• Correlation-based 20%
• Time-varying Correlation 20%

Mathematics

• Copula 100%
• GARCH Model 100%
• Functional Connectivity 100%
• Dynamic Conditional Correlation 100%
• Magnetic Resonance Imaging 60%
• Human Brain 60%
• Gaussian Copula 20%
• Gaussian Distribution 20%
• Recursive Algorithm 20%
• Step Procedure 20%

Engineering

• Human Brain 100%
• Gaussians 66%
• Region of Interest 33%
• Simulation Result 33%
• Illustrates 33%
• Measured Data 33%
• Step Procedure 33%
• Recursive Algorithm 33%
• Network Connectivity 33%
• Noise Distribution 33%
• Mathematical Model 33%