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Principles of fMRI 2

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Principles of fMRI 2

This course is part of Neuroscience and Neuroimaging Specialization

Instructors: Martin Lindquist, PhD, MSc

18,565 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

249 reviews

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

249 reviews

9 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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This course is part of the Neuroscience and Neuroimaging Specialization

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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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.

Module details

This week we will discuss psychological and behavioral inference, as well as advanced experimental design.

What's included

8 videos1 reading1 assignment

8 videosTotal 103 minutes

Module 1A: Crises in neuroscience and psychology: Problems and solutions14 minutes
Module 1B: Crises in neuroscience and psychology: Problems and solutions15 minutes
Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond12 minutes
Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond13 minutes
Module 3: Meta Analysis11 minutes
Module 4: Using meta-analysis to improve inference12 minutes
Module 5: Optimizing acquisition for your study goals18 minutes
Module 6: Resting-state fMRI8 minutes

1 readingTotal 10 minutes

Syllabus10 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.

What's included

11 videos1 assignment

11 videosTotal 119 minutes

Module 7A: Advanced Experimental Design I - Fundamentals of design efficiency10 minutes
Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency13 minutes
Module 8: Advanced Experimental Design II – Efficiency in fMRI10 minutes
Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms13 minutes
Module 10: Model building: Parametric modulators9 minutes
Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level11 minutes
Module 12A: Multicolinearity and diagnostics11 minutes
Module 12B: Multicolinearity and diagnostics9 minutes
Module 13: Robust regression15 minutes
Module 14A: Practical group analysis: Procedures and checks9 minutes
Module 14B: Practical group analysis: Procedures and checks10 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

This week we will focus on brain connectivity.

What's included

8 videos1 assignment

8 videosTotal 77 minutes

Module 15: Brain Connectivity – different types6 minutes
Module 16: Functional Connectivity9 minutes
Module 17: Multivariate Decomposition Methods9 minutes
Module 18: Dynamic Connectivity9 minutes
Module 19: Network Analysis I – Graph theory10 minutes
Module 20: Effective Connectivity10 minutes
Module 21: Mediation, moderation, and structural models12 minutes
Module 21B: Mediation, moderation, and structural models12 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

This week we will focus on multi-voxel pattern analysis.

What's included

10 videos1 assignment

10 videosTotal 90 minutes

Module 22: Directed graphs: DCM7 minutes
Module 23: Directed graphs: Granger causality10 minutes
Module 24: Principles of causal inference12 minutes
Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective11 minutes
Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective7 minutes
Module 26: MVPA Intro10 minutes
Module 27: Performing MVPA I10 minutes
Module 28: Performing MVPA II5 minutes
Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain11 minutes
Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain7 minutes