When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Introduction to Neurohacking In R

Introduction to Neurohacking In R

This course is part of Neuroscience and Neuroimaging Specialization

Instructors: Dr. Elizabeth Sweeney

25,658 already enrolled

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

315 reviews

Intermediate level

Some related experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

315 reviews

Intermediate level

Some related experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

26 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Neuroscience and Neuroimaging Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

Module details

What's included

3 videos1 reading1 assignment

In this section, we will discuss different formats that brain images come in, as well as some of the commonly done magnetic resonance imaging (MRI) scans.

What's included

7 videos6 assignments

7 videosTotal 74 minutes

Data Structures and Operations12 minutes
The NIfTI Format10 minutes
Basic Visualization 19 minutes
Basic Visualization 210 minutes
Basic Data Manipulation10 minutes
Transformations and Smoothing15 minutes
Basic MRI Contrasts9 minutes

6 assignmentsTotal 180 minutes

Theme 2 Lecture 1 Quiz30 minutes
Theme 2 Lecture 2 Quiz30 minutes
Theme 2 Lecture 3 Quiz30 minutes
Theme 2 Lecture 4 Quiz30 minutes
Theme 2 Lecture 5 Quiz30 minutes
Theme 2 Lecture 6 Quiz30 minutes

In this section, we will discuss the steps done to process brain MRI data. We will discuss inhomogeneity correction, brain extraction or skull stripping, and various image registration techniques.

What's included

9 videos9 assignments

9 videosTotal 71 minutes

Preprocessing: An Overview14 minutes
Registration15 minutes
fslr: System Requirements9 minutes
Bias Field Correction Using fslr4 minutes
Brain Extraction using fslr6 minutes
Image Registration Using fslr6 minutes
Installing ANTsR5 minutes
Basic Data Manipulation with ANTsR5 minutes
Pre-Processing with ANTSR8 minutes

9 assignmentsTotal 270 minutes

Theme 3 Quiz 130 minutes
Theme 3 Quiz 230 minutes
Theme 3 Quiz 330 minutes
Theme 3 Quiz 430 minutes
Theme 3 Quiz 530 minutes
Theme 3 Quiz 630 minutes
Theme 3 Quiz 730 minutes
Theme 3 Quiz 830 minutes
Theme 3 Quiz 930 minutes

In this section, we will discuss the different types of registration and how one would go through processing a multi-sequence MRI scan, as well as wrapper functions that make the process much easier. We also cover interactive exploration of brain image data and tissue-level (white/gray matter and cerebrospinal fluid (CSF)) segmentation from a T1-weighted image.

What's included

11 videos1 reading10 assignments

11 videosTotal 101 minutes

Advanced Brain Image Processing5 minutes
Co-Registration using fslr9 minutes
Co-Registration using ANTsR10 minutes
Wrapper Functions for Processing Pipelines8 minutes
Across-Visit Co-Registration of T1 Images6 minutes
Rigid Registration to a Template8 minutes
Affine Registration of T1 to Template4 minutes
Nonlinear Registration of T1 to Template7 minutes
Getting ROI Anatomic Information from Non-Linear Registration13 minutes
Tissue-Level Segmentation7 minutes
Papayar: Interactively Viewing Images in R23 minutes

1 readingTotal 10 minutes

Papayar Script10 minutes

10 assignmentsTotal 300 minutes

Theme 4 Quiz 130 minutes
Theme 4 Quiz 230 minutes
Theme 4 Quiz 330 minutes
Theme 4 Quiz 430 minutes
Theme 4 Quiz 530 minutes
Theme 4 Quiz 630 minutes
Theme 4 Quiz 730 minutes
Theme 4 Quiz 830 minutes
Theme 4 Quiz 930 minutes
Theme 4 Quiz 1030 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(50 ratings)

Dr. Elizabeth Sweeney

Johns Hopkins University

1 Course25,658 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
71.11%
4 stars
22.22%
3 stars
4.12%
2 stars
1.26%
1 star
1.26%

Showing 3 of 315

Reviewed on 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.

Reviewed on Sep 3, 2016

An excellent introduction to neuroimaging analysis! Tank you.

Reviewed on Dec 5, 2023

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

View more reviews