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There are 4 modules in this course
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here: https://leanpub.com/principlesoffmri.
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
What's included
8 videos2 readings1 assignment
Show info about module content
8 videos•Total 82 minutes
Module 1: Introduction and Ground Rules•9 minutes
Module 2: Goals of fMRI Analysis•12 minutes
Module 3: fMRI Data Structure•7 minutes
Module 4.1: Psychological Inference Part 1•12 minutes
Module 4.2: Psychological Inference Part 2•9 minutes
Module 5: Basic Understanding of MR Physics•12 minutes
Module 6: Forming an Image•10 minutes
Module 7: K Space•12 minutes
2 readings•Total 20 minutes
Syllabus•10 minutes
Principles of fMRI Book•10 minutes
1 assignment•Total 30 minutes
Quiz 1•30 minutes
Week 2
Module 2•2 hours to complete
Module details
This week we will discuss the fMRI signal, experimental design and pre-processing.
What's included
9 videos1 assignment
Show info about module content
9 videos•Total 100 minutes
Module 8: Signal, Noise, and Bold Physiology•15 minutes
Module 9: fMRI Artifacts and Types of Noise•12 minutes
Module 10.1: Spatial and Temporal Resolution of Bold Part 1•8 minutes
Module 10.2: Spatial and Temporal Resolution of Bold Part 2 •13 minutes
Module 11: Experimental Design•14 minutes
Module 12.1: Kinds of Designs Part 1•12 minutes
Module 12.2: Kinds of Designs Part 2 •8 minutes
Module 13: Pre-Processing of fMRI Data•10 minutes
Module 14: Pre-Processing (continued)•8 minutes
1 assignment•Total 30 minutes
Quiz 2•30 minutes
Week 3
Module 3•2 hours to complete
Module details
This week we will discuss the General Linear Model (GLM).
What's included
8 videos1 assignment
Show info about module content
8 videos•Total 92 minutes
Module 15: General Linear Model•14 minutes
Module 16: Applying GLM to fMRI Data•11 minutes
Module 17: Details of Building GLM Models•12 minutes
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TR
5·
Reviewed on Aug 26, 2018
you are the best guys!! You helped me so much in my understanding of fMRI...I wish I did this course years before!!Thank you!
K
K
4·
Reviewed on May 25, 2020
I learnt a lot from the course, even if it is just a surface understanding. It'll really help with when I need to pick up selective content for reals in the future.
A
AP
5·
Reviewed on Jan 14, 2019
Amazing course. More advanced than I thought it would be, which was excellent. Interested students should know that it has a lot of statistics in it.
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
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