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
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Ratings and Reviews
b
Great course for fMRI basics
Great course! Though a bit of more examples through cases would be great.
Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.
© 2017 Coursera Inc. All rights reserved.
SB
Very well organized and explained. Thank you very much.