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Johns Hopkins University - Principles of fMRI 2 

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Principles of fMRI 2
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Coursera 
Overview

Duration

9 hours

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Principles of fMRI 2
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Principles of fMRI 2
 at 
Coursera 
Highlights

  • This Course Plus the Full Specialization.
  • Shareable Certificates.
  • Graded Programming Assignments.
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Principles of fMRI 2
 at 
Coursera 
Course details

Skills you will learn
More about 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 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

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Principles of fMRI 2
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