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

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

Instructors: Martin Lindquist, PhD, MSc
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Skills you'll gain
- Regression Analysis
- Statistics
- Radiology
- Medical Imaging
- Hemodynamics
- Spatial Analysis
- Statistical Inference
- Time Series Analysis and Forecasting
- Statistical Analysis
- Research Methodologies
- Magnetic Resonance Imaging
- Statistical Modeling
- Data Preprocessing
- Statistical Methods
- Neurology
- Image Analysis
- Research Design
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Reviewed on Apr 25, 2019
It's not really a beginners course. Reviews most of the important fMRI statistical analysis concepts. Additionally, the information regarding MR Physics involved was invaluable.
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.
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