Course Summary
This course will teach you the principles and methods of functional magnetic resonance imaging (fMRI) analysis, including advanced techniques such as multivariate pattern analysis (MVPA) and functional connectivity analysis.Key Learning Points
- Learn the fundamental principles of fMRI analysis
- Explore advanced techniques such as MVPA and functional connectivity analysis
- Apply fMRI analysis to real-world research questions
Related Topics for further study
Learning Outcomes
- Understand the principles and techniques of fMRI analysis
- Apply fMRI analysis to real-world research questions
- Explore advanced techniques such as MVPA and functional connectivity analysis
Prerequisites or good to have knowledge before taking this course
- Basic understanding of neuroscience and brain anatomy
- Basic knowledge of statistics
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Introduction to Neuroimaging
- Neuroscience and Neuroimaging
- Principles of Neuroimaging
Related Education Paths
Notable People in This Field
- Neuroscientist and Author
- Neuroscientist
- Neuroscientist
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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.
Outline
- Week 1
- Module 1A: Crises in neuroscience and psychology: Problems and solutions
- Module 1B: Crises in neuroscience and psychology: Problems and solutions
- Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond
- Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond
- Module 3: Meta Analysis
- Module 4: Using meta-analysis to improve inference
- Module 5: Optimizing acquisition for your study goals
- Module 6: Resting-state fMRI
- Syllabus
- Quiz 1
- Week 2
- Module 7A: Advanced Experimental Design I - Fundamentals of design efficiency
- Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency
- Module 8: Advanced Experimental Design II – Efficiency in fMRI
- Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms
- Module 10: Model building: Parametric modulators
- Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level
- Module 12A: Multicolinearity and diagnostics
- Module 12B: Multicolinearity and diagnostics
- Module 13: Robust regression
- Module 14A: Practical group analysis: Procedures and checks
- Module 14B: Practical group analysis: Procedures and checks
- Quiz 2
- Week 3
- Module 15: Brain Connectivity – different types
- Module 16: Functional Connectivity
- Module 17: Multivariate Decomposition Methods
- Module 18: Dynamic Connectivity
- Module 19: Network Analysis I – Graph theory
- Module 20: Effective Connectivity
- Module 21: Mediation, moderation, and structural models
- Module 21B: Mediation, moderation, and structural models
- Quiz 3
- Week 4
- Module 22: Directed graphs: DCM
- Module 23: Directed graphs: Granger causality
- Module 24: Principles of causal inference
- Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective
- Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective
- Module 26: MVPA Intro
- Module 27: Performing MVPA I
- Module 28: Performing MVPA II
- Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain
- Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain
- Quiz 4
Summary of User Reviews
Functional MRI 2 is a well-received course on Coursera that provides a comprehensive understanding of the practical applications of fMRI technology. Many users praise the course for its in-depth analysis and clear explanations.Key Aspect Users Liked About This Course
The course is praised for its in-depth analysis and clear explanations.Pros from User Reviews
- Provides a comprehensive understanding of fMRI technology
- Well-structured content with clear explanations
- Engaging lectures by knowledgeable instructors
- Helpful quizzes and assignments to reinforce learning
- Great for beginners and professionals alike
Cons from User Reviews
- Some users found the course to be too technical and difficult to follow
- Lack of hands-on experience with fMRI technology
- Limited interaction with instructors and other students
- Some users found the course to be too basic and not challenging enough
- No certificate of completion for auditing students
Martin Lindquist, PhD, MSc
4.7 Raiting
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