关于此课程： 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
制作方： Johns Hopkins University, University of Colorado Boulder
教学方： Martin Lindquist, PhD, MSc, Professor, Biostatistics
Bloomberg School of Public Health | Johns Hopkins University
教学方： Tor Wager, PhD
Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
8 个视频, 2 个阅读材料
- Leyendo: Syllabus
- Leyendo: Principles of fMRI Book
- 视频: Module 2: Goals of fMRI Analysis
- 视频: Module 3: fMRI Data Structure
- 视频: Module 4.1: Psychological Inference Part 1
- 视频: Module 4.2: Psychological Inference Part 2
- 视频: Module 5: Basic Understanding of MR Physics
- 视频: Module 6: Forming an Image
- 视频: Module 7: K Space
已评分: Quiz 1
第 2 周
Week 2
This week we will discuss the fMRI signal, experimental design and pre-processing.
9 个视频
- 视频: Module 9: fMRI Artifacts and Types of Noise
- 视频: Module 10.1: Spatial and Temporal Resolution of Bold Part 1
- 视频: Module 10.2: Spatial and Temporal Resolution of Bold Part 2
- 视频: Module 11: Experimental Design
- 视频: Module 12.1: Kinds of Designs Part 1
- 视频: Module 12.2: Kinds of Designs Part 2
- 视频: Module 13: Pre-Processing of fMRI Data
- 视频: Module 14: Pre-Processing (continued)
已评分: Quiz 2
第 3 周
Week 3
This week we will discuss the General Linear Model (GLM).
8 个视频
- 视频: Module 16: Applying GLM to fMRI Data
- 视频: Module 17: Details of Building GLM Models
- 视频: Module 18: Linear Basis Sets
- 视频: Module 19: Filtering a Nuisance Covariance
- 视频: Module 20: GLM Estimation
- 视频: Module 21: Noise Models - AR Models
- 视频: Module 22: Inference - Contrasts and T-tests
已评分: Quiz 3
第 4 周
Week 4
The description goes here
7 个视频
- 视频: Module 24: Group-level Analysis II
- 视频: Module 25: Group-level Analysis III
- 视频: Module 26: Multiple Comparison Problem in fMRI
- 视频: Module 27: FWER Correction
- 视频: Module 28: FDR Correction
- 视频: Module 29: Pitfalls and Multiple Comparisons
已评分: Quiz 4
常见问题解答
运作方式
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制作方
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.
评分和审阅
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.
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.
Excelent and helpful. Great instructors (I like the brains flying around :))