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Learner Reviews & Feedback for Principles of fMRI 2 by Johns Hopkins University

4.7
stars
234 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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”....

Top reviews

DD

Nov 11, 2018

Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.

FS

May 9, 2018

Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !

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26 - 36 of 36 Reviews for Principles of fMRI 2

By Baraka M

Jun 5, 2020

It`s awesome

By Yacila D

Jan 4, 2017

Excellent!

By farzaneh d d

Jul 30, 2016

بسیار خوب

By CRISTIANO S P

Jul 24, 2020

Perfect

By Harley G

Oct 24, 2022

I think this is a great course for an overview of fMRI in experimental studies. I love how the course makes fMRI analyses engaging and mostly digestable. The fact that they return to the same fMRI pipeline over multiple modules makes it really reinforce some of the central themes of conducting fMRI experiments. I find that Tor Wager gives great examples from real research studies. Though Martin Linquist is obviously a brilliant statistician, I think he often gets too technical and glosses over jargon too quickly. This makes it difficult to learn. I've had trouble sometimes keeping up with the material when certain jargon is not spelled out always. I was also hoping to see real fMRI data in some sort of programming software that might make it a bit more hands on. Though, this is a good introductory course if you are already familiar with statistics, and have read a handful of fMRI papers. It may be too technical to people who are completely new to fMRI. All in all, great work.

By Jan S

Jan 20, 2017

Still very good course with a lot to offer especially parts covering new methods. The only downside for me were the mathematical parts by Martin which got complex, messy and seemed to be explained not as clear as in previous course. Some ecological, more experiment related examples could be useful to help understand mathematical operations and formulas.

By Anirban S

May 18, 2020

The course assignments were bit easy and it would be good to provide more thought provoking exercises. The explanations by Dr. Tor Wager was unsatisfactory many a times. The course can be made practical oriented where the students get to implement the algorithms learnt. Overall the course was good in giving a broad overview of various topics.

By Zikou L

Nov 28, 2020

More illustration with cartoons would be much appreciated, words and text are kind of too abstract and hard to grab.

By Siyuan G

Aug 11, 2017

pretty great

By mohammad a m

Dec 24, 2020

good course

By clara d

Aug 16, 2021

wow