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”.
About this Course
- 5 stars77.37%
- 4 stars18.55%
- 3 stars3.16%
- 2 stars0.45%
- 1 star0.45%
TOP REVIEWS FROM PRINCIPLES OF FMRI 2
Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.
Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.
The course was ery good, I wish it also included working with sample fmri data.
Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!
About the Neuroscience and Neuroimaging Specialization
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