À propos de ce cours : 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
Créé par : Johns Hopkins University, University of Colorado Boulder
Enseigné par : Martin Lindquist, PhD, MSc, Professor, Biostatistics
Bloomberg School of Public Health | Johns Hopkins University
Enseigné par : Tor Wager, PhD
Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
8 vidéos, 2 lectures
- Reading: Syllabus
- Reading: Principles of fMRI Book
- Vidéo: Module 2: Goals of fMRI Analysis
- Vidéo: Module 3: fMRI Data Structure
- Vidéo: Module 4.1: Psychological Inference Part 1
- Vidéo: Module 4.2: Psychological Inference Part 2
- Vidéo: Module 5: Basic Understanding of MR Physics
- Vidéo: Module 6: Forming an Image
- Vidéo: Module 7: K Space
Noté: Quiz 1
SEMAINE 2
Week 2
This week we will discuss the fMRI signal, experimental design and pre-processing.
9 vidéos
- Vidéo: Module 9: fMRI Artifacts and Types of Noise
- Vidéo: Module 10.1: Spatial and Temporal Resolution of Bold Part 1
- Vidéo: Module 10.2: Spatial and Temporal Resolution of Bold Part 2
- Vidéo: Module 11: Experimental Design
- Vidéo: Module 12.1: Kinds of Designs Part 1
- Vidéo: Module 12.2: Kinds of Designs Part 2
- Vidéo: Module 13: Pre-Processing of fMRI Data
- Vidéo: Module 14: Pre-Processing (continued)
Noté: Quiz 2
SEMAINE 3
Week 3
This week we will discuss the General Linear Model (GLM).
8 vidéos
- Vidéo: Module 16: Applying GLM to fMRI Data
- Vidéo: Module 17: Details of Building GLM Models
- Vidéo: Module 18: Linear Basis Sets
- Vidéo: Module 19: Filtering a Nuisance Covariance
- Vidéo: Module 20: GLM Estimation
- Vidéo: Module 21: Noise Models - AR Models
- Vidéo: Module 22: Inference - Contrasts and T-tests
Noté: Quiz 3
SEMAINE 4
Week 4
The description goes here
7 vidéos
- Vidéo: Module 24: Group-level Analysis II
- Vidéo: Module 25: Group-level Analysis III
- Vidéo: Module 26: Multiple Comparison Problem in fMRI
- Vidéo: Module 27: FWER Correction
- Vidéo: Module 28: FDR Correction
- Vidéo: Module 29: Pitfalls and Multiple Comparisons
Noté: Quiz 4
FAQ
Comment cela fonctionne
Coursework
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Créateurs
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.
Notation et examens
Thank you for the course. If I want to correctly rate it, is somewhere between 3 and 4. I think the chosen topics were very good. The slides and examples were very good too. However, as I am a medical doctor the mathematical point of view and the rate of the speech in that parts were a little bit confusing for me.
The phrasing of questions and answers in the quizzes are sometimes awkward.
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Very densly packed course with many great information. Sometimes it went a bit too fast, though. I wish there was a bit more explanation for some of the more advanced ideas. Still a very good course that made me confident to start analyzing some fMRI data that I have at hand.