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Johns Hopkins University

Introduction to Neurohacking In R

Neurohacking describes how to use the R programming language (https://cran.r-project.org/) 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).

状态:Magnetic Resonance Imaging
状态:Software Installation
中级课程小时

精选评论

FJ

5.0评论日期:Feb 22, 2024

It has been a great experience. Thanks for making such a high quality specialization!

SS

5.0评论日期:Sep 3, 2016

An excellent introduction to neuroimaging analysis! Tank you.

SG

4.0评论日期:Aug 28, 2020

The process of downloading packages on the virtual machine was very tiring. The documentation of it could have been provided more nicely. Like I was not aware about the 'sudo...'on LINUX.

CV

5.0评论日期:May 16, 2017

Great course....medical imaging techniques at its best :)

BV

5.0评论日期:Apr 7, 2020

Thanks for the course. It was a nice course with good explanation. I enjoyed learning.

RK

5.0评论日期:Aug 20, 2020

Nice Course.Wonderful material.Enjoyed learning it.

K

5.0评论日期:Aug 13, 2023

great course, highly recommend for integrating two fields. Data analysis and Manipulation with R, just becomes so much easier.

LD

5.0评论日期:Oct 7, 2019

A nice introduction to neurohacking in R. I would recommend this course for beginners.

SS

4.0评论日期:Aug 20, 2017

Perhaps links to some materials regarding explanation of the data could be provided.

JS

5.0评论日期:Jan 18, 2017

It would have been better if there were practical exercises, nevertheless it was very comprehensive for basic procedures of fMRI analysis.

MT

4.0评论日期:Apr 4, 2018

Great concise walk-through of neuro-imaging techniques. Low quality audio and a lot of background noise though.

NJ

5.0评论日期:Dec 5, 2023

excellent course building you up with basics using R and fsl, antr

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