This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”
Offered By
Johns Hopkins University
University of Colorado Boulder
Johns Hopkins University
Syllabus - What you will learn from this course
Week
12 hours to complete
Week 1
This week we will discuss psychological and behavioral inference, as well as advanced experimental design.
8 videos (Total 103 min), 1 reading, 1 quiz
8 videos
Module 1B: Crises in neuroscience and psychology: Problems and solutions14m
Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond11m
Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond13m
Module 3: Meta Analysis10m
Module 4: Using meta-analysis to improve inference12m
Module 5: Optimizing acquisition for your study goals18m
Module 6: Resting-state fMRI7m
1 reading
Syllabus10m
1 practice exercise
Quiz 128m
Week
22 hours to complete
Week 2
This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.
11 videos (Total 119 min), 1 quiz
11 videos
Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency12m
Module 8: Advanced Experimental Design II – Efficiency in fMRI10m
Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms12m
Module 10: Model building: Parametric modulators8m
Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level11m
Module 12A: Multicolinearity and diagnostics10m
Module 12B: Multicolinearity and diagnostics8m
Module 13: Robust regression14m
Module 14A: Practical group analysis: Procedures and checks9m
Module 14B: Practical group analysis: Procedures and checks10m
1 practice exercise
Quiz 222m
Week
32 hours to complete
Week 3
This week we will focus on brain connectivity.
8 videos (Total 77 min), 1 quiz
8 videos
Module 16: Functional Connectivity9m
Module 17: Multivariate Decomposition Methods9m
Module 18: Dynamic Connectivity9m
Module 19: Network Analysis I – Graph theory10m
Module 20: Effective Connectivity9m
Module 21: Mediation, moderation, and structural models12m
Module 21B: Mediation, moderation, and structural models11m
1 practice exercise
Quiz 324m
Week
42 hours to complete
Week 4
This week we will focus on multi-voxel pattern analysis.
10 videos (Total 90 min), 1 quiz
10 videos
Module 23: Directed graphs: Granger causality9m
Module 24: Principles of causal inference12m
Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective10m
Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective7m
Module 26: MVPA Intro10m
Module 27: Performing MVPA I9m
Module 28: Performing MVPA II5m
Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain10m
Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain7m
1 practice exercise
Quiz 424m
4.7
23 ReviewsTop reviews from Principles of fMRI 2
Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.
Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !
Instructors
Martin Lindquist, PhD, MSc
Professor, BiostatisticsBloomberg School of Public Health | Johns Hopkins University
Tor Wager
PhDDepartment of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder
About 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.
About 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.
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