Principles of fMRI 2

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Principles of fMRI 2

Coursera (CC)
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Description

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About this course: This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”

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 4.7 stars Average User Rating 4.7See what learner…

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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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”

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 4.7 stars Average User Rating 4.7See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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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 discuss psychological and behavioral inference, as well as advanced experimental design.


8 videos, 1 reading expand


  1. Reading: Syllabus
  2. Video: Module 1A: Crises in neuroscience and psychology: Problems and solutions
  3. Video: Module 1B: Crises in neuroscience and psychology: Problems and solutions
  4. Video: Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond
  5. Video: Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond
  6. Video: Module 3: Meta Analysis
  7. Video: Module 4: Using meta-analysis to improve inference
  8. Video: Module 5: Optimizing acquisition for your study goals
  9. Video: Module 6: Resting-state fMRI

Graded: Quiz 1

WEEK 2


Week 2
This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.


11 videos expand


  1. Video: Module 7A: Advanced Experimental Design I - Fundamentals of design efficiency
  2. Video: Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency
  3. Video: Module 8: Advanced Experimental Design II – Efficiency in fMRI
  4. Video: Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms
  5. Video: Module 10: Model building: Parametric modulators
  6. Video: Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level
  7. Video: Module 12A: Multicolinearity and diagnostics
  8. Video: Module 12B: Multicolinearity and diagnostics
  9. Video: Module 13: Robust regression
  10. Video: Module 14A: Practical group analysis: Procedures and checks
  11. Video: Module 14B: Practical group analysis: Procedures and checks

Graded: Quiz 2

WEEK 3


Week 3
This week we will focus on brain connectivity.


8 videos expand


  1. Video: Module 15: Brain Connectivity – different types
  2. Video: Module 16: Functional Connectivity
  3. Video: Module 17: Multivariate Decomposition Methods
  4. Video: Module 18: Dynamic Connectivity
  5. Video: Module 19: Network Analysis I – Graph theory
  6. Video: Module 20: Effective Connectivity
  7. Video: Module 21: Mediation, moderation, and structural models
  8. Video: Module 21B: Mediation, moderation, and structural models

Graded: Quiz 3

WEEK 4


Week 4
This week we will focus on multi-voxel pattern analysis.


10 videos expand


  1. Video: Module 22: Directed graphs: DCM
  2. Video: Module 23: Directed graphs: Granger causality
  3. Video: Module 24: Principles of causal inference
  4. Video: Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective
  5. Video: Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective
  6. Video: Module 26: MVPA Intro
  7. Video: Module 27: Performing MVPA I
  8. Video: Module 28: Performing MVPA II
  9. Video: Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain
  10. Video: Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain

Graded: Quiz 4
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