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
Offert par
Spécialisation Neuroscience and NeuroimagingUniversité Johns-HopkinsÀ propos de ce cours
Résultats de carrière des étudiants
50%
29%
Compétences que vous acquerrez
Résultats de carrière des étudiants
50%
29%
Offert par
Université Johns-Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Université du Colorado à Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Programme du cours : ce que vous apprendrez dans ce cours
Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
Week 2
This week we will discuss the fMRI signal, experimental design and pre-processing.
Week 3
This week we will discuss the General Linear Model (GLM).
Week 4
The description goes here
Avis
Meilleurs avis pour PRINCIPLES OF FMRI 1
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.
It is really easy going and interesting course. With good explanations that keep you on track easily. I really liked it since the begging and it gave me curiosity to undertake the second one
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.
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.
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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