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.

Principles of fMRI 1
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Principles of fMRI 1
This course is part of Neuroscience and Neuroimaging Specialization

Instructors: Martin Lindquist, PhD, MSc
46,389 already enrolled
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Skills you'll gain
- Regression Analysis
- Research Design
- Time Series Analysis and Forecasting
- Statistical Analysis
- Statistical Modeling
- Statistical Methods
- Medical Imaging
- Data Preprocessing
- Statistics
- Statistical Inference
- Spatial Analysis
- Hemodynamics
- Radiology
- Image Analysis
- Research Methodologies
- Neurology
- Magnetic Resonance Imaging
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Status: Free TrialJohns Hopkins University
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Reviewed on Apr 22, 2017
Very clear introductory course about fMRI. It touches almost every concept needed to understand an MRI experiment. Many complex topics were explained in a very clear and concise way.
Reviewed on May 25, 2020
I learnt a lot from the course, even if it is just a surface understanding. It'll really help with when I need to pick up selective content for reals in the future.
Reviewed on Jan 14, 2019
Amazing course. More advanced than I thought it would be, which was excellent. Interested students should know that it has a lot of statistics in it.




