Chevron Left
Back to Introduction to Neurohacking In R

Learner Reviews & Feedback for Introduction to Neurohacking In R by Johns Hopkins University

279 ratings

About the Course

Neurohacking describes how to use the R programming language ( and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization. By the end of this course, you will be able to: Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format Visualize and explore these images Perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template)....

Top reviews


Feb 8, 2017

I like that this course goes through most necessary steps, my only suggest would be to have one additional week where you go through everything all together, and then do some simple group analysis.


May 7, 2019

Thank you for the wonderful course. Especially useful when the team explains every new line of code. As a current undergraduate and aspiring neuroscience researcher, this is tremendously helpful.

Filter by:

1 - 25 of 49 Reviews for Introduction to Neurohacking In R

By Brandy R

Feb 9, 2017

By Ana-Maria N S

Aug 9, 2016

By jeremy s

May 8, 2019

By Sanket G

Aug 29, 2020

By xiaodong c

Feb 5, 2022

By Sreenivasulu U

Dec 27, 2019

By Dadarkforce

Apr 14, 2018

By Lara P

Jul 28, 2017

By Dan S

Sep 26, 2019

By Anna N

Jul 18, 2017

By Hanem E

Dec 17, 2019

By Freeman

Apr 26, 2017

By Fernando M

Sep 19, 2016


Jan 19, 2017

By Suhail K

Jun 29, 2020

By syed m a

Aug 20, 2019

By Ankit S

Aug 26, 2017

By christina J

May 30, 2020

By Belfin R V

Apr 8, 2020

By Lydia D

Oct 8, 2019

By Spyridon S

Sep 4, 2016

By Chandan V

May 17, 2017

By Dinara Y

Oct 13, 2020

By Rajavarman K

Aug 21, 2020