About this course: This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data. A book related to the class can be found here: https://leanpub.com/principlesoffmri
Created by: Johns Hopkins University, University of Colorado Boulder
Taught by: Martin Lindquist, PhD, MSc, Professor, Biostatistics
Bloomberg School of Public Health | Johns Hopkins University
Taught by: Tor Wager, PhD
Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
8 videos, 2 readings
- Video: Module 1: Introduction and Ground Rules
- Reading: Syllabus
- Reading: Principles of fMRI Book
- Video: Module 2: Goals of fMRI Analysis
- Video: Module 3: fMRI Data Structure
- Video: Module 4.1: Psychological Inference Part 1
- Video: Module 4.2: Psychological Inference Part 2
- Video: Module 5: Basic Understanding of MR Physics
- Video: Module 6: Forming an Image
- Video: Module 7: K Space
Graded: Quiz 1
WEEK 2
Week 2
This week we will discuss the fMRI signal, experimental design and pre-processing.
9 videos
- Video: Module 8: Signal, Noise, and Bold Physiology
- Video: Module 9: fMRI Artifacts and Types of Noise
- Video: Module 10.1: Spatial and Temporal Resolution of Bold Part 1
- Video: Module 10.2: Spatial and Temporal Resolution of Bold Part 2
- Video: Module 11: Experimental Design
- Video: Module 12.1: Kinds of Designs Part 1
- Video: Module 12.2: Kinds of Designs Part 2
- Video: Module 13: Pre-Processing of fMRI Data
- Video: Module 14: Pre-Processing (continued)
Graded: Quiz 2
WEEK 3
Week 3
This week we will discuss the General Linear Model (GLM).
8 videos
- Video: Module 15: General Linear Model
- Video: Module 16: Applying GLM to fMRI Data
- Video: Module 17: Details of Building GLM Models
- Video: Module 18: Linear Basis Sets
- Video: Module 19: Filtering a Nuisance Covariance
- Video: Module 20: GLM Estimation
- Video: Module 21: Noise Models - AR Models
- Video: Module 22: Inference - Contrasts and T-tests
Graded: Quiz 3
WEEK 4
Week 4
The description goes here
7 videos
- Video: Module 23: Group-level Analysis I
- Video: Module 24: Group-level Analysis II
- Video: Module 25: Group-level Analysis III
- Video: Module 26: Multiple Comparison Problem in fMRI
- Video: Module 27: FWER Correction
- Video: Module 28: FDR Correction
- Video: Module 29: Pitfalls and Multiple Comparisons
Graded: Quiz 4
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Johns Hopkins University
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University of Colorado Boulder
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Ratings and Reviews
excellent for my study in radiology best regards
Very good material but questions not answered in the forums
Contents were very good and useful!
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A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part. Standard undergrad psychology courses in statistics should be enough.