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
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 2 小时
Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
8 个视频 （总计 82 分钟）, 2 个阅读材料, 1 个测验
8 个视频
Module 2: Goals of fMRI Analysis12分钟
Module 3: fMRI Data Structure6分钟
Module 4.1: Psychological Inference Part 111分钟
Module 4.2: Psychological Inference Part 28分钟
Module 5: Basic Understanding of MR Physics11分钟
Module 6: Forming an Image10分钟
Module 7: K Space11分钟
2 个阅读材料
Syllabus10分钟
Principles of fMRI Book10分钟
1 个练习
Quiz 126分钟
周
2完成时间为 2 小时
Week 2
This week we will discuss the fMRI signal, experimental design and pre-processing.
9 个视频 （总计 100 分钟）, 1 个测验
9 个视频
Module 9: fMRI Artifacts and Types of Noise11分钟
Module 10.1: Spatial and Temporal Resolution of Bold Part 17分钟
Module 10.2: Spatial and Temporal Resolution of Bold Part 2 13分钟
Module 11: Experimental Design13分钟
Module 12.1: Kinds of Designs Part 111分钟
Module 12.2: Kinds of Designs Part 2 8分钟
Module 13: Pre-Processing of fMRI Data10分钟
Module 14: Pre-Processing (continued)7分钟
1 个练习
Quiz 230分钟
周
3完成时间为 2 小时
Week 3
This week we will discuss the General Linear Model (GLM).
8 个视频 （总计 93 分钟）, 1 个测验
8 个视频
Module 16: Applying GLM to fMRI Data11分钟
Module 17: Details of Building GLM Models11分钟
Module 18: Linear Basis Sets11分钟
Module 19: Filtering a Nuisance Covariance13分钟
Module 20: GLM Estimation9分钟
Module 21: Noise Models - AR Models9分钟
Module 22: Inference - Contrasts and T-tests11分钟
1 个练习
Quiz 322分钟
周
4完成时间为 2 小时
Week 4
The description goes here
7 个视频 （总计 77 分钟）, 1 个测验
7 个视频
Module 24: Group-level Analysis II10分钟
Module 25: Group-level Analysis III14分钟
Module 26: Multiple Comparison Problem in fMRI9分钟
Module 27: FWER Correction16分钟
Module 28: FDR Correction5分钟
Module 29: Pitfalls and Multiple Comparisons14分钟
1 个练习
Quiz 424分钟
4.6
85 个审阅60%
完成这些课程后已开始新的职业生涯
29%
通过此课程获得实实在在的工作福利
热门审阅
It is really easy going and interesting course. With good explanations that keep you on track easily. I really liked it since the begging and it gave me curiosity to undertake the second one
A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part. Standard undergrad psychology courses in statistics should be enough.
讲师
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
关于 约翰霍普金斯大学
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.
关于 科罗拉多大学波德分校
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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