Principles of fMRI 1

This course is part of Neuroscience and Neuroimaging Specialization

Instructors: Martin Lindquist, PhD, MSc +1 more

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Skills you'll gain

  •   Statistical Modeling
  •   Data Processing
  •   Magnetic Resonance Imaging
  •   Data Analysis
  •   Science and Research
  •   Medical Imaging
  •   Statistical Analysis
  •   Neurology
  •   Research Design
  •   Image Analysis
  • 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.

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