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.
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Meilleurs avis pour PRINCIPLES OF FMRI 1
you are the best guys!! You helped me so much in my understanding of fMRI...I wish I did this course years before!!
Very clear introductory course about fMRI. It touches almost every concept needed to understand an MRI experiment. Many complex topics were explained in a very clear and concise way.
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.
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.
À propos du Spécialisation Neuroscience and Neuroimaging
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging.
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