About this Course
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Approx. 13 hours to complete

English

Subtitles: English

Skills you will gain

StatisticsStatistical AnalysisStatistical ModelPreprocessor

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 13 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Week 1

This week we will introduce fMRI, and talk about data acquisition and reconstruction.

...
8 videos (Total 82 min), 2 readings, 1 quiz
8 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
2 readings
Syllabus10m
Principles of fMRI Book10m
1 practice exercise
Quiz 126m
Week
2
2 hours to complete

Week 2

This week we will discuss the fMRI signal, experimental design and pre-processing.

...
9 videos (Total 100 min), 1 quiz
9 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
1 practice exercise
Quiz 230m
Week
3
2 hours to complete

Week 3

This week we will discuss the General Linear Model (GLM).

...
8 videos (Total 93 min), 1 quiz
8 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
1 practice exercise
Quiz 322m
Week
4
2 hours to complete

Week 4

The description goes here

...
7 videos (Total 77 min), 1 quiz
7 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
1 practice exercise
Quiz 424m
4.6
86 ReviewsChevron Right

60%

started a new career after completing these courses

33%

got a tangible career benefit from this course

Top reviews from Principles of fMRI 1

By JBJan 10th 2019

It is really easy going and interesting course. With good explanations that keep you on track easily. I really liked it since the begging and it gave me curiosity to undertake the second one

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
Bloomberg School of Public Health | Johns Hopkins University
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Tor Wager

PhD
Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

About University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

Frequently Asked Questions

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  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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