John Hopkins University - Principles of fMRI 2
- Offered byCoursera
Principles of fMRI 2 at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Principles of fMRI 2 at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Principles of fMRI 2 at Coursera Course details
- 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?.
Principles of fMRI 2 at Coursera Curriculum
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
Principles of fMRI 2 at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Useful Links
Know more about Coursera
Know more about Programs
- Engineering
- Instrumentation Technology
- Food Technology
- Aeronautical Engineering
- Artificial Intelligence and Machine Learning
- Metallurgical Engineering
- MTech in Computer Science Engineering
- VLSI Design
- Petroleum Engineering
- Aerospace Engineering
- BTech in Biotechnology Engineering
- Pharmaceutical engineering
- Silk Technology
- Microelectronics
- Agriculture & Farm Engineering