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Learner Reviews & Feedback for Principles of fMRI 1 by Johns Hopkins University

815 ratings

About the 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 design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here:

Top reviews


Jan 8, 2023

Taken in concert, the lectures and the reading are thorough if complex. However, this is a complex topic. Probably should be listed as an intermediate course at least, but a very good introduction.


Aug 29, 2020

It was a wonderful beginning to a topic details of which were unknown to me. Thank you to both the instructors for making the videos crisp, informative and understandable. Thank you very much.

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126 - 150 of 159 Reviews for Principles of fMRI 1

By Guillermo P

Dec 20, 2016

In general terms the course is very good. It would be great if they could include at least one real example of each statistic method presented.

By Joana T S F

Apr 14, 2020

Por ser um curso de módulo 1, acredito que deveria ter uma linguagem mais fácil e uma metodologia melhor. Mas o curso é ótimo. Recomendo!

By Young I C

Jun 22, 2019

Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.

By Yunfei L

Jun 18, 2020

This is a great online resource that efficiently introduce me to the field of fMRI analysis, which is a completely new field to me.

By Jérémy W

Mar 13, 2017

It goes a bit too much into the details sometimes. Personal researches are sometimes required to understand what is explained.

By Asli E

Dec 23, 2019

I wish this course had a bit more of a practical reasoning that explains us the concrete steps to take when analysing data

By Daniel G

Mar 21, 2018

Solid introductory course on fMRI, but some kind of interactive assignments and discussions might be useful.

By Derrick L H

Jan 20, 2022

A concise introduction to the statistical procedures used to process fMRI data and make causal inferences.

By Diane A F C F

Sep 18, 2021

good information on the slides, but the instructors only reed the slides, not any additional information.

By Eduard V

Oct 14, 2018

it does not incorporate a lot fo background information and the information is too succinct

By Nicolas D D

Apr 15, 2017

It was a great course.However I expect more discussion in foro and the proffesors opinion

By wang l

Dec 25, 2018

need some fundamental knowledge in stats and then you will get more from this course

By Xaver F

Mar 26, 2020

High-quality information brought to the point. Instructors are a little stiff.

By Veronik S

Sep 26, 2019

A basic understanding is necessary, sometimes it is complicated to understand.

By Jerry M

May 2, 2018

The phrasing of questions and answers in the quizzes are sometimes awkward.

By Rodrigo F G

May 5, 2017

Great course! Though a bit of more examples through cases would be great.

By Elvina G

Apr 30, 2020

Very good and interesting course, although misses practical exercises.

By Zikou L

Oct 27, 2020

Maybe more examples to help understand and to remember the terms.


May 13, 2020

Thank you sir for sharing your valuable knowledge with us ...

By Tiago A

Sep 18, 2017

Very good material but questions not answered in the forums

By Allwyn .

Sep 2, 2017

Contents were very good and useful!

By Ying-Qiu Z

Feb 14, 2016

can add some detail, i.e. proofs

By José d J d L S H

Aug 14, 2020

Encantado de seguir aprendiendo

By Kanika B

Mar 6, 2016

Terrific learning experience!

By Diego S R

Nov 15, 2017