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.
Ce cours fait partie de la Spécialisation Neuroscience and Neuroimaging
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Spécialisation Neuroscience and NeuroimagingUniversité Johns-HopkinsÀ propos de ce cours
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- Statistics
- Statistical Analysis
- Statistical Model
- Preprocessor
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Avis
- 5 stars72,11 %
- 4 stars21,91 %
- 3 stars4,53 %
- 2 stars0,90 %
- 1 star0,51 %
Meilleurs avis pour PRINCIPLES OF FMRI 1
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.
A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part. Standard undergrad psychology courses in statistics should be enough.
It was very much informative video about mri system and advancement in the mri system.Thank you so much for your informative videos.
It was a wonderful beginning to a topic details of which were unknown to me. Thank you to both the instructors for making the videos crisp, informative and understandable. Thank you very much.
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