Informações sobre o curso
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data. A book related to the class can be found here: https://leanpub.com/principlesoffmri
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curso 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
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Aprox. 12 horas restantes

Sugerido: 5 hours/week
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English

Legendas: English
Globe

curso 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Clock

Aprox. 12 horas restantes

Sugerido: 5 hours/week
Comment Dots

English

Legendas: English

Syllabus - What you will learn from this course

1

Section
Clock
2 hours to complete

Week 1

This week we will introduce fMRI, and talk about data acquisition and reconstruction. ...
Reading
8 videos (Total 82 min), 2 readings, 1 quiz
Video8 videos
Module 2: Goals of fMRI Analysis12m
Module 3: fMRI Data Structure6m
Module 4.1: Psychological Inference Part 111m
Module 4.2: Psychological Inference Part 28m
Module 5: Basic Understanding of MR Physics11m
Module 6: Forming an Image10m
Module 7: K Space11m
Reading2 readings
Syllabus10m
Principles of fMRI Book10m
Quiz1 practice exercises
Quiz 126m

2

Section
Clock
2 hours to complete

Week 2

This week we will discuss the fMRI signal, experimental design and pre-processing. ...
Reading
9 videos (Total 100 min), 1 quiz
Video9 videos
Module 9: fMRI Artifacts and Types of Noise11m
Module 10.1: Spatial and Temporal Resolution of Bold Part 17m
Module 10.2: Spatial and Temporal Resolution of Bold Part 2 13m
Module 11: Experimental Design13m
Module 12.1: Kinds of Designs Part 111m
Module 12.2: Kinds of Designs Part 2 8m
Module 13: Pre-Processing of fMRI Data10m
Module 14: Pre-Processing (continued)7m
Quiz1 practice exercises
Quiz 230m

3

Section
Clock
2 hours to complete

Week 3

This week we will discuss the General Linear Model (GLM)....
Reading
8 videos (Total 93 min), 1 quiz
Video8 videos
Module 16: Applying GLM to fMRI Data11m
Module 17: Details of Building GLM Models11m
Module 18: Linear Basis Sets11m
Module 19: Filtering a Nuisance Covariance13m
Module 20: GLM Estimation9m
Module 21: Noise Models - AR Models9m
Module 22: Inference - Contrasts and T-tests11m
Quiz1 practice exercises
Quiz 322m

4

Section
Clock
2 hours to complete

Week 4

The description goes here...
Reading
7 videos (Total 77 min), 1 quiz
Video7 videos
Module 24: Group-level Analysis II10m
Module 25: Group-level Analysis III14m
Module 26: Multiple Comparison Problem in fMRI9m
Module 27: FWER Correction16m
Module 28: FDR Correction5m
Module 29: Pitfalls and Multiple Comparisons14m
Quiz1 practice exercises
Quiz 424m
4.5
Direction Signs

33%

started a new career after completing these courses
Briefcase

83%

got a tangible career benefit from this course

Top Reviews

By DKFeb 24th 2018

Great insights and incredible work-up! Tor did an exceptional job lecturing as well. I feel like I learned a lot and drew intensive lessons from this course. Can't wait for the second part :)

By AMSep 20th 2017

A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part. Standard undergrad psychology courses in statistics should be enough.

Instructors

Avatar

Martin Lindquist, PhD, MSc

Professor, Biostatistics

About Johns Hopkins University

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