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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.
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Principles of fMRI 2
This course is part of Neuroscience and Neuroimaging Specialization
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Instructors: Martin Lindquist, PhD, MSc
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4 assignments
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There are 4 modules in this course
This week we will discuss psychological and behavioral inference, as well as advanced experimental design.
What's included
8 videos1 reading1 assignment
This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.
What's included
11 videos1 assignment
This week we will focus on brain connectivity.
What's included
8 videos1 assignment
This week we will focus on multi-voxel pattern analysis.
What's included
10 videos1 assignment
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Recommended if you're interested in Data Analysis
Korea Advanced Institute of Science and Technology(KAIST)
The University of Chicago
Hebrew University of Jerusalem
Johns Hopkins University
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Reviewed on Nov 16, 2016
The course was ery good, I wish it also included working with sample fmri data.
Reviewed on Nov 11, 2018
Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.
Reviewed on May 23, 2019
Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.
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