CourseraIntroduction To Computer ScienceFree courseCertificate

Introduction to Neurohacking In R

4.4

32 reviews

Created by: Dr. Elizabeth Sweeney

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 88 / 100

Course Description

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) formatVisualize and explore these imagesPerform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template).

Time: 12h

Instructor Details

Dr. Elizabeth Sweeney

4.4 Rating
32 Reviews

Dr. Elizabeth Sweeney earned her PhD from the statistics department at the Johns Hopkins Bloomberg School of Public Health, under the supervision of Dr. Ciprian Crainiceanu at Johns Hopkins and Dr. Russell Shinohara at the University of Pennsylvania. Elizabeth's PhD research has made contributions to the improved analysis of neuroimaging data, as evidenced by numerous publications, presentations, and patents. Elizabeth's interest in this area began with a traineeship at the Nation Institute of Neurological Disease and Stroke, where she did research in Dr. Daniel Reich's lab on image analysis in multiple sclerosis. Elizabeth is passionate about both research and teaching. Elizabeth has co-taught a number of tutorials and courses on neuroimage data analysis. She also taught and introductory biostatistics course to masters of public health students at the American University of Armenia. Elizabeth now works on imaging in Alzheimer's disease at Rice University as a Rice Academy Postdoctoral Fellow. With mentors Dr. Genevera Allen of Rice Statistics and Dr. Joshua Shulman of the Baylor College of Medicine Neurology, Elizabeth is working to develop neuroimaging, epidemiological, and genetic biomarkers in Alzheimer's disease.

More Introduction to Computer Science courses

The Horse Course: Introduction to Basic Care and Management
4.9 (156 Reviews)

- Provider: Coursera
- Time: 22h

Free

Operating Systems from scratch - Part 2 (2022)
4.8 (1,662 Reviews)

- Provider: Udemy
- Time: 12.3h

$10.99

Object Oriented Programming (OOP) with Python for beginners (2026)
4.8 (531 Reviews)

- Provider: Udemy
- Time: 2.3h

$64.99

Code Yourself! An Introduction to Programming
4.8 (297 Reviews)

- Provider: Coursera
- Time: 18h

Free

Introduction to Programming Crash Course + Python Primer (2025)
4.7 (3,814 Reviews)

- Provider: Udemy
- Time: 4.7h

$59.99

Object-Oriented Software Engineering with Java (2023)
4.7 (210 Reviews)

- Provider: Udemy
- Time: 6.5h

$84.99

All Introduction to Computer Science courses

Reviews

4.4

32 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Alexander J on 13-Oct-19

thank you!

By Lydia D H on 8-Oct-19

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

By Dan S on 26-Sep-19

Thank you to the team for setting up this course! I learned a lot about manipulation of imaging data within R, which is something I previously executed at the command line within FSL. These formats will provide more reproducible code within my publications.

By syed m a on 20-Aug-19

it would be great if can create a specialization for this course going in more depth like making your own dti films etc.

By Fidel G on 17-Jul-19

It was a great experience going through the processes of ways of viewing, manipulating and extracting data from brain scan images. With few bumps on the way I keep focusing on the knowledge that I gain which I may apply into a future project of machine learn.

By Sim W K J on 8-May-19

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.

By Zaeem H on 10-Apr-19

I was expecting teaching but they are simply reading code from slides. Big let down.

By Jinyi K on 28-Dec-18

Great intro class. Recommended.

By Al-Rashid J on 14-Apr-18

Great course. Learned quite a lot from the course. Only problem was the difficulty at first with the software and libraries stubbornly refusing to get setup. But, after realizing there was a VM provided with all intended software installed, everything was smooth sailing from there.

By Mehdi N T on 5-Apr-18