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Principles of fMRI Part 1, Module 5: Basic MR Physics
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Principles of fMRI Part 1, Module 1: Introduction to fMRI
Principles of fMRI Part 1, Module 3: fMRI Data Structure & Terminology
Principles of fMRI Part 1, Module 2: Analysis of fMRI Data
Principles of fMRI Part 1, Module 5: Basic MR Physics
Principles of fMRI Part 1, Module 11: Experimental Design I – Psychological principles
Principles of fMRI Part 1, Module 29: More about multiple comparisons
Principles of fMRI Part 1, Module 12a: Experimental Design II – Kinds of designs
Principles of fMRI Part 1, Module 17: Model Building I – conditions and contrasts
Principles of fMRI Part 1, Module 14: Pre-processing II
Martin and Tor 1st Course Intro
Principles of fMRI Part 1, Module 6: Image Formation
Principles of fMRI Part 1, Module 13: Pre-processing I
Principles fMRI Part 1, Module 4: Psychological Questions and Inference
Principles of fMRI Part 1, Module 16: GLM applied to fMRI
Principles of fMRI Part 1, Module 4b: Psychological and Inference Questions
Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 1
Principles of fMRI Part 1, Module 19: Model Building III- nuisance variables
1. Principles of fMRI
Principles of fMRI Part 1, Module 8: fMRI Signal & BOLD Physiology
Principles of fMRI Part 1, Module 10a: Spatial and temporal resolution
Principles of fMRI Part 1, Module 7: K-space
Principles of fMRI Part 1, Module 9: fMRI Artifacts and Noise
Principles of fMRI Part 1, Module 15: The General Linear Model- Intro
Principles of fMRI Part 1, Module 27: FWER Correction
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