Principles of fMRI 1

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Principles of fMRI 1

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Description

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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 4.5 …

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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 4.5 stars Average User Rating 4.5See what learners said Coursework

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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.

Syllabus


WEEK 1


Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.


8 videos, 2 readings expand


  1. Video: Module 1: Introduction and Ground Rules
  2. Reading: Syllabus
  3. Reading: Principles of fMRI Book
  4. Video: Module 2: Goals of fMRI Analysis
  5. Video: Module 3: fMRI Data Structure
  6. Video: Module 4.1: Psychological Inference Part 1
  7. Video: Module 4.2: Psychological Inference Part 2
  8. Video: Module 5: Basic Understanding of MR Physics
  9. Video: Module 6: Forming an Image
  10. 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 expand


  1. Video: Module 8: Signal, Noise, and Bold Physiology
  2. Video: Module 9: fMRI Artifacts and Types of Noise
  3. Video: Module 10.1: Spatial and Temporal Resolution of Bold Part 1
  4. Video: Module 10.2: Spatial and Temporal Resolution of Bold Part 2
  5. Video: Module 11: Experimental Design
  6. Video: Module 12.1: Kinds of Designs Part 1
  7. Video: Module 12.2: Kinds of Designs Part 2
  8. Video: Module 13: Pre-Processing of fMRI Data
  9. 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 expand


  1. Video: Module 15: General Linear Model
  2. Video: Module 16: Applying GLM to fMRI Data
  3. Video: Module 17: Details of Building GLM Models
  4. Video: Module 18: Linear Basis Sets
  5. Video: Module 19: Filtering a Nuisance Covariance
  6. Video: Module 20: GLM Estimation
  7. Video: Module 21: Noise Models - AR Models
  8. Video: Module 22: Inference - Contrasts and T-tests

Graded: Quiz 3

WEEK 4


Week 4
The description goes here


7 videos expand


  1. Video: Module 23: Group-level Analysis I
  2. Video: Module 24: Group-level Analysis II
  3. Video: Module 25: Group-level Analysis III
  4. Video: Module 26: Multiple Comparison Problem in fMRI
  5. Video: Module 27: FWER Correction
  6. Video: Module 28: FDR Correction
  7. Video: Module 29: Pitfalls and Multiple Comparisons

Graded: Quiz 4
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