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Johns Hopkins University

Principles of fMRI 2

Johns Hopkins University via Coursera

Overview

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”.

Syllabus

  • Week 1
    • This week we will discuss psychological and behavioral inference, as well as advanced experimental design.
  • Week 2
    • This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.
  • Week 3
    • This week we will focus on brain connectivity.
  • Week 4
    • This week we will focus on multi-voxel pattern analysis.

Taught by

Martin Lindquist

Reviews

4.7 rating at Coursera based on 242 ratings

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