Principles of fMRI 2

This course is part of Neuroscience and Neuroimaging Specialization

Instructors: Martin Lindquist, PhD, MSc +1 more

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Skills you'll gain

  •   Image Analysis
  •   Statistical Modeling
  •   Network Analysis
  •   Mental and Behavioral Health
  •   Magnetic Resonance Imaging
  •   Time Series Analysis and Forecasting
  •   Psychology
  •   Neurology
  •   Regression Analysis
  •   Analysis
  •   Experimentation
  •   Research
  •   Data Analysis
  •   Research Design
  •   Statistical Analysis
  •   Matlab
  •   Statistical Methods

    • 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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.

    Week 2

    Week 3

    Week 4

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