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.
Introduction to Neurohacking In R
Introduction to Neurohacking In R
This course is part of Neuroscience and Neuroimaging Specialization
Instructors: Dr. Elizabeth Sweeney
Sponsored by Coursera Learning Team
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Gain insight into a topic and learn the fundamentals.
4.6
(309 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
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Assessments
26 assignments
Taught in English
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This course is part of the Neuroscience and Neuroimaging Specialization
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There are 4 modules in this course
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
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
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
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4.6 (48 ratings)Offered by
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4.6
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FJ
5
Reviewed on Feb 23, 2024
It has been a great experience. Thanks for making such a high quality specialization!
AS
5
Reviewed on Aug 26, 2017
I am really appreciate this course. Its good to have a structured course on these complex topics.
OA
5
Reviewed on Jan 29, 2025
It was wonderful learning from these amazing Lecturers
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