Statistical Analysis

When do we not need statistical analysis?

Why use statistical analyses?

Statistical Parametric Maps

Representing fMRI Analyses

Types of Errors

Simple Statistical Analyses

T – Tests across Conditions

Drift Artifact and T-Test

Fourier Analysis

Slide 11

Slide 12

T/Z – Tests across Time Points

Correlation

Problems with Correlation Approaches

Kolmogorov – Smirnov (KS) Test

Iterative Connectivity Mapping

Use of Continuous Tasks to Evaluate Functional Connectivity

The General Linear Model

Basic Concepts of the GLM

Signal, noise, and the General Linear Model

Form of the GLM

Implementation of GLM in SPM

The Problem of Multiple Comparisons

The Problem of Multiple Comparisons

Slide 26

Options for Multiple Comparisons

Statistical Corrections

Slide 29

Bonferroni Correction

Gaussian Field Theory

Slide 32

Cluster Analyses

How many foci of activation?

How large should clusters be?

ROI Comparisons

Are there differences between voxel-wise and ROI analyses?

Summary of Multiple Comparison Correction

Fixed and Random Effects Comparisons

How do we compare across subjects?

Slide 41

How are random-effects models run?

Summary of Hypothesis Tests