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
46,251 already enrolled
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Skills you'll gain
- Statistical Analysis
- Statistical Inference
- Science and Research
- Radiology
- Magnetic Resonance Imaging
- Time Series Analysis and Forecasting
- Image Analysis
- Hemodynamics
- Regression Analysis
- Data Analysis
- Neurology
- Spatial Analysis
- Research Methodologies
- Statistics
- Medical Imaging
- Research Design
- Statistical Modeling
- Data Preprocessing
- Statistical Methods
- Laboratory Research
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Reviewed on Aug 22, 2020
Excellent teaching method. Lectures were easy to follow. Bought the book as well which in my case added to the whole experience.
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.
Reviewed on Jun 21, 2019
Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.




