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.
이 강좌는 Neuroscience and Neuroimaging 특화 과정의 일부입니다.
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귀하가 습득할 기술
- Statistics
- Statistical Analysis
- Statistical Model
- Preprocessor
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존스홉킨스대학교
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.
강의 계획표 - 이 강좌에서 배울 내용
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
검토
- 5 stars71.80%
- 4 stars22.13%
- 3 stars4.61%
- 2 stars0.92%
- 1 star0.52%
PRINCIPLES OF FMRI 1의 최상위 리뷰
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
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.
A very well structured course starting from the basics of fMRI. It is of great help in understanding what goes into fMRI analysis
Great course, would be better if it incorporated labs/practical assignments to practice or apply the principles of fMRI onto actual datasets.
Neuroscience and Neuroimaging 특화 과정 정보
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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