An Empirical Comparison of Three Methods to Establish Directional Relationships Using Multivariate Time Series: Effective Connectivity Analysis with Functional Magnetic Resonance Imaging Studies

Doctoral Dissertation
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Abstract

Researchers in a variety of disciplines are interested in methods to establish causal links among several constructs. Statistical methods for modeling causal relations among brain regions in neuroscience are referred to as effective connectivity (EC) methods. Three popular effective connectivity methods are multivariate autoregressive modeling (MAR) with Granger Causality testing, structural equation modeling (SEM), and dynamic causal modeling (DCM). I conducted a head-to-head comparison of these three methods using both empirical and simulated data. The factors manipulated in the simulation study included (1) causality definitions (2) neural delays (3) variations in hemodynamic delay and (4) sampling frequencies. Results showed that none of the three EC methods showed satisfactory performance in terms of type I error rates and power across all conditions. With respect to interregional connectivity, the MAR method outperformed the other two EC methods. For bilinear effects which are the induced change by external stimuli, the SEM and the DCM method had higher average power than the MAR method. Regarding the direct effects of experimental inputs, the DCM method outperformed the other two methods. In the empirical example of integration of olfactory-visual threats, the three EC methods provided different connectivity patterns.

Attributes

Attribute NameValues
URN
  • etd-02172014-140324

Author Zijun Ke
Advisor Scott E. Maxwell
Contributor Gitta Lubke, Committee Member
Contributor Zhiyong (Johnny) Zhang, Committee Member
Contributor Guangjian Zhang, Committee Member
Contributor Scott E. Maxwell, Committee Member
Degree Level Doctoral Dissertation
Degree Discipline Psychology
Degree Name PhD
Defense Date
  • 2013-08-28

Submission Date 2014-02-17
Country
  • United States of America

Subject
  • DCM

  • SEM

  • granger causality testing

  • fMRI

  • effective connectivity

Publisher
  • University of Notre Dame

Language
  • English

Record Visibility Public
Content License
  • All rights reserved

Departments and Units

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