Principles of fMRI 1
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Principles of fMRI 1
This course is part of Neuroscience and Neuroimaging Specialization
46,509 already enrolled
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850 reviews
850 reviews
Skills you'll gain
- Research Methodologies
- Image Analysis
- Statistical Methods
- Research Design
- Magnetic Resonance Imaging
- Spatial Analysis
- Radiology
- Statistical Inference
- Data Preprocessing
- Neurology
- Hemodynamics
- Statistical Modeling
- Statistical Analysis
- Medical Imaging
- Statistics
- Time Series Analysis and Forecasting
- Regression Analysis
Details to know
4 assignments
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There are 4 modules in this course
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 (GLMβs). A book related to the class can be found here: https://leanpub.com/principlesoffmri.
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
What's included
8 videos2 readings1 assignment
8 videosβ’Total 82 minutes
- Module 1: Introduction and Ground Rulesβ’9 minutes
- Module 2: Goals of fMRI Analysisβ’12 minutes
- Module 3: fMRI Data Structureβ’7 minutes
- Module 4.1: Psychological Inference Part 1β’12 minutes
- Module 4.2: Psychological Inference Part 2β’9 minutes
- Module 5: Basic Understanding of MR Physicsβ’12 minutes
- Module 6: Forming an Imageβ’10 minutes
- Module 7: K Spaceβ’12 minutes
2 readingsβ’Total 20 minutes
- Syllabusβ’10 minutes
- Principles of fMRI Bookβ’10 minutes
1 assignmentβ’Total 30 minutes
- Quiz 1β’30 minutes
This week we will discuss the fMRI signal, experimental design and pre-processing.
What's included
9 videos1 assignment
9 videosβ’Total 100 minutes
- Module 8: Signal, Noise, and Bold Physiologyβ’15 minutes
- Module 9: fMRI Artifacts and Types of Noiseβ’12 minutes
- Module 10.1: Spatial and Temporal Resolution of Bold Part 1β’8 minutes
- Module 10.2: Spatial and Temporal Resolution of Bold Part 2 β’13 minutes
- Module 11: Experimental Designβ’14 minutes
- Module 12.1: Kinds of Designs Part 1β’12 minutes
- Module 12.2: Kinds of Designs Part 2 β’8 minutes
- Module 13: Pre-Processing of fMRI Dataβ’10 minutes
- Module 14: Pre-Processing (continued)β’8 minutes
1 assignmentβ’Total 30 minutes
- Quiz 2β’30 minutes
This week we will discuss the General Linear Model (GLM).
What's included
8 videos1 assignment
8 videosβ’Total 92 minutes
- Module 15: General Linear Modelβ’14 minutes
- Module 16: Applying GLM to fMRI Dataβ’11 minutes
- Module 17: Details of Building GLM Modelsβ’12 minutes
- Module 18: Linear Basis Setsβ’11 minutes
- Module 19: Filtering & Nuisance Covariatesβ’14 minutes
- Module 20: GLM Estimationβ’9 minutes
- Module 21: Noise Models - AR Modelsβ’10 minutes
- Module 22: Inference - Contrasts and T-testsβ’11 minutes
1 assignmentβ’Total 30 minutes
- Quiz 3β’30 minutes
The description goes here
What's included
7 videos1 assignment
7 videosβ’Total 77 minutes
- Module 23: Group-level Analysis Iβ’7 minutes
- Module 24: Group-level Analysis IIβ’10 minutes
- Module 25: Group-level Analysis IIIβ’14 minutes
- Module 26: Multiple Comparison Problem in fMRIβ’9 minutes
- Module 27: FWER Correctionβ’16 minutes
- Module 28: FDR Correctionβ’5 minutes
- Module 29: Pitfalls and Multiple Comparisonsβ’15 minutes
1 assignmentβ’Total 30 minutes
- Quiz 4β’30 minutes
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- Status: Free TrialJ
Johns Hopkins University
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- Status: Free TrialJ
Johns Hopkins University
Course
- Status: Free TrialJ
Johns Hopkins University
Specialization
- Status: PreviewK
Korea Advanced Institute of Science and Technology(KAIST)
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Reviewed on Aug 30, 2019
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.
Reviewed on Jan 14, 2019
Amazing course. More advanced than I thought it would be, which was excellent. Interested students should know that it has a lot of statistics in it.
Reviewed on Jun 21, 2019
Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you canβt afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, youβll find a link to apply on the description page.
