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.
Principles of fMRI 1
This course is part of Neuroscience and Neuroimaging Specialization
Instructors: Martin Lindquist, PhD, MSc
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There are 4 modules in this course
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
What's included
8 videos2 readings1 assignment
This week we will discuss the fMRI signal, experimental design and pre-processing.
What's included
9 videos1 assignment
This week we will discuss the General Linear Model (GLM).
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8 videos1 assignment
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7 videos1 assignment
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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.
Reviewed on Jun 21, 2019
Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.
Reviewed on Jun 14, 2020
Great course which introduces one to the basic principles of fMRI and Statistical Analysis.
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