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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來自FMRI 基础 1的熱門評論
you are the best guys!! You helped me so much in my understanding of fMRI...I wish I did this course years before!!
Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.
Heavier on the statistics than I expected, but that's not a bad thing. A sort of wake-up call that I need to brush up on my biostatistics background.
It was very much informative video about mri system and advancement in the mri system.Thank you so much for your informative videos.
關於 Neuroscience and Neuroimaging 專項課程
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.