Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Johns Hopkins University

Principles of fMRI 1

Johns Hopkins University via Coursera

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

  • Week 1
    • This week we will introduce fMRI, and talk about data acquisition and reconstruction.
  • Week 2
    • This week we will discuss the fMRI signal, experimental design and pre-processing.
  • Week 3
    • This week we will discuss the General Linear Model (GLM).
  • Week 4
    • The description goes here

Taught by

Martin Lindquist and Tor Wager

Reviews

4.5 rating, based on 2 Class Central reviews

4.6 rating at Coursera based on 824 ratings

Start your review of Principles of fMRI 1

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.