Network Analysis

Network Analysis is an advanced, 5-day workshop designed for investigators having familiarity with the basic principles of fMRI data acquisition, statistical analysis using the general linear model, and substantial practical experience using SPM.

The presentations will provide an introduction to network analysis using SPM8 along with practical demonstrations tied to the key conceptual issues. The focus will be on techniques other than the usual massively univariate analyses commonly used for modeling fMRI data. Topics covered will include functional connectivity examined using bivariate correlation or regression, psychophysiological interaction analysis, and dynamic causal modeling.

Participant Preparation: The workshop will involve demonstrations and interactive exercises involving SPM8, its extensions and associated programs. These demonstrations will be integrated with the didactic portions of the lectures.

The interactive software exercises will demonstrate the details of the various data modeling techniques and participants will gain practical experience through the worked examples. Therefore, to gain the full benefit from the program, we ask that participants bring laptops with MATLAB and SPM8 installed. Detailed setup instructions can be found here.

Registration information for this program may be found here.

Information about accomodations for the Boston courses may be found here.

Questions about the course arrangements or content should be directed to admin@neurometrika.org

The faculty are Tom Zeffiro, Susan Whitfield-Gabrieli, Darren Gitelman and Robert Savoy.

 

Tentative Schedule

Day 1

 Background to network analysis

9:00AM-12:00PM

  • The uses of network analysis
  • Principles of correlation and regression
  • The general linear model

12:00PM-1:00PM Lunch

1:00PM-3:45PM

  • The general linear model in functional neuroimaging
  • Factorial designs
  • Interaction analysis
  • ROI extraction techniques

4:00PM-5:00PM

  • Multivariate pattern detection techniques

pdf of lecture

pdf of references

Day 2

Functional connectivity

9:00AM-12:00PM

  • Functional connectivity overview
  • CONN - The functional connectivity toolbox can be found here.

 

 

12:00PM-1:00PM Lunch

1:00PM-3:45PM

  • Functional connectivity toolbox demonstrations
    • Resting state experiment
    • Task experiment

The functional connectivity toolbox manual can be found here.

Connectivity Toolbox dataflow chart

Here is a single-subject analysis exercise.

Here are some example connectivity toolbox batch files:

complete batch file - setup - preprocessing - analyses - results

4:00PM-5:00PM

  • Functional connectivity example studies

 

Day 3

 

9:00AM-12:00PM

  • Graph theory

The single-subject graph theory demonstration instructions can be found here.

The resting state multi-subject graph theory demonstration instructions can be found here.

  • Mediation analysis

12:00PM-1:00PM Lunch

1:00PM-4:00PM

  • Structural equation modeling
  • Dynamical causal modeling introduction
Day 4

Factorial designs and PPI

9:00AM-12:00PM

  • General linear model review - ANOVA, regression and ANCOVA
  • PPI overview
  • Psychophysiological interaction analysis
  • Physiophysiological interaction analysis

12:00PM-1:00PM Lunch

1:00PM-3:45PM

  • PPI software demonstrations
    • Psychophysioloigcal interactions
    • Physiophysiological interactions

The PPI software demonstration instructions can be found here.

Aaron Schultz's PPI plotting script can be found here.

The batch file to process the PPI sample dataset can be found here.

A utility for plotting an MIP of the indivdual PPI data  source peak locations can be found here.

4:00PM-5:00PM

  • PPI example studies
Day 5

Dynamic causal modeling

9:00AM-12:00PM

  • Dynamic causal modeling overview
  • Anatomical model selection
  • First-level models
  • Second-level models

An introduction to Bayesian inference can be found here.

The DCM lecture by Andre Marreiros can be found here.

12:00PM-1:00PM Lunch

1:00PM-2:45PM

  • Dynamic causal modeling demonstration
  • Dynamic causal modeling exercises

The DCM exercise instructions can be found here.

3:00PM-3:45PM

  • Dynamic causal modeling example studies

4:00PM-5:00PM

  • The uses of network analysis revisited

 

Topics