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
- Radiology
- Statistical Inference
- Hemodynamics
- Neurology
- Statistical Modeling
- Data Preprocessing
- Probability & Statistics
- Magnetic Resonance Imaging
- Image Analysis
- Statistical Analysis
- Science and Research
- Statistics
- Statistical Methods
- Medical Imaging
- Spatial Analysis
- Regression Analysis
- Research Design
- Data Analysis
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Reviewed on Apr 24, 2020
Really lots of new knowledge,But not exactly not relevent from my field but learn alot new things that very helpfull for my further study.Thank you COURSERA for upgrade my knowledge.
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 Apr 26, 2020
Thanks for organising such course. I am very happy in attending this course. But It would be excellent if some more explanations on the concepts are clear.
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