John Hopkins University - Principles of fMRI 1 

Module 1: Introduction and Ground Rules

Module 2: Goals of fMRI Analysis

Module 3: fMRI Data Structure

Module 4.1: Psychological Inference Part 1

Module 4.2: Psychological Inference Part 2

Module 5: Basic Understanding of MR Physics

Module 6: Forming an Image

Module 7: K Space

Syllabus

Principles of fMRI Book

Quiz 1

Week 2

Module 8: Signal, Noise, and Bold Physiology

Module 9: fMRI Artifacts and Types of Noise

Module 10.1: Spatial and Temporal Resolution of Bold Part 1

Module 10.2: Spatial and Temporal Resolution of Bold Part 2

Module 11: Experimental Design

Module 12.1: Kinds of Designs Part 1

Module 12.2: Kinds of Designs Part 2

Module 13: Pre-Processing of fMRI Data

Module 14: Pre-Processing (continued)

Quiz 2

Week 3

Module 15: General Linear Model

Module 16: Applying GLM to fMRI Data

Module 17: Details of Building GLM Models

Module 18: Linear Basis Sets

Module 19: Filtering & Nuisance Covariates

Module 20: GLM Estimation

Module 21: Noise Models - AR Models

Module 22: Inference - Contrasts and T-tests

Quiz 3

Week 4

Module 23: Group-level Analysis I

Module 24: Group-level Analysis II

Module 25: Group-level Analysis III

Module 26: Multiple Comparison Problem in fMRI

Module 27: FWER Correction

Module 28: FDR Correction

Module 29: Pitfalls and Multiple Comparisons

Quiz 4