Course Summary
This course provides an introduction to functional MRI (fMRI) and its applications in cognitive neuroscience and neuroscience research. Students will learn how to design and conduct fMRI experiments, and how to analyze and interpret fMRI data.Key Learning Points
- Learn the fundamentals of fMRI and its applications in cognitive neuroscience
- Gain hands-on experience in designing and conducting fMRI experiments
- Develop skills in analyzing and interpreting fMRI data
Job Positions & Salaries of people who have taken this course might have
- USA: $75,000 - $150,000
- India: ₹600,000 - ₹2,000,000
- Spain: €30,000 - €70,000
- USA: $75,000 - $150,000
- India: ₹600,000 - ₹2,000,000
- Spain: €30,000 - €70,000
- USA: $80,000 - $170,000
- India: ₹700,000 - ₹2,500,000
- Spain: €35,000 - €80,000
- USA: $75,000 - $150,000
- India: ₹600,000 - ₹2,000,000
- Spain: €30,000 - €70,000
- USA: $80,000 - $170,000
- India: ₹700,000 - ₹2,500,000
- Spain: €35,000 - €80,000
- USA: $60,000 - $120,000
- India: ₹400,000 - ₹1,500,000
- Spain: €25,000 - €60,000
Related Topics for further study
Learning Outcomes
- Understand the basics of fMRI and its applications in neuroscience
- Design and conduct fMRI experiments
- Analyze and interpret fMRI data
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of neuroscience
- Basic knowledge of statistics
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Neuroimaging Methods
- Brain and Space
Related Education Paths
Related Books
Description
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.
Outline
- Week 1
- Module 1: Introduction and Ground Rules
- Module 2: Goals of fMRI Analysis
- Module 3: fMRI Data Structure
- Module 4.1: Psychological Inference Part 1
- Module 4.2: Psychological Inference Part 2
- Module 5: Basic Understanding of MR Physics
- Module 6: Forming an Image
- Module 7: K Space
- Syllabus
- Principles of fMRI Book
- Quiz 1
- Week 2
- Module 8: Signal, Noise, and Bold Physiology
- Module 9: fMRI Artifacts and Types of Noise
- Module 10.1: Spatial and Temporal Resolution of Bold Part 1
- Module 10.2: Spatial and Temporal Resolution of Bold Part 2
- Module 11: Experimental Design
- Module 12.1: Kinds of Designs Part 1
- Module 12.2: Kinds of Designs Part 2
- Module 13: Pre-Processing of fMRI Data
- Module 14: Pre-Processing (continued)
- Quiz 2
- Week 3
- Module 15: General Linear Model
- Module 16: Applying GLM to fMRI Data
- Module 17: Details of Building GLM Models
- Module 18: Linear Basis Sets
- Module 19: Filtering & Nuisance Covariates
- Module 20: GLM Estimation
- Module 21: Noise Models - AR Models
- Module 22: Inference - Contrasts and T-tests
- Quiz 3
- Week 4
- Module 23: Group-level Analysis I
- Module 24: Group-level Analysis II
- Module 25: Group-level Analysis III
- Module 26: Multiple Comparison Problem in fMRI
- Module 27: FWER Correction
- Module 28: FDR Correction
- Module 29: Pitfalls and Multiple Comparisons
- Quiz 4
Summary of User Reviews
Discover the principles of functional MRI and learn how to analyze fMRI data with this comprehensive course. Students rave about the engaging lectures and in-depth content that provide a solid foundation in fMRI techniques and analysis.Pros from User Reviews
- Comprehensive course content
- Solid foundation in fMRI techniques and analysis
- Engaging and knowledgeable instructors
- Challenging assignments that reinforce learning
- Interactive forum for discussion and collaboration
Cons from User Reviews
- Course can be challenging for beginners
- Some technical glitches in the online platform
- Limited opportunities for hands-on practice
- Course may be too theoretical for some learners
- Lack of real-world examples or applications
Martin Lindquist, PhD, MSc
4.6 Raiting
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