Introduction to Neurohacking In R

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Free Online Course: Introduction to Neurohacking In R provided by Coursera is a comprehensive online course, which lasts for 4 weeks long, 18 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Introduction to Neurohacking In R is taught by Dr. Elizabeth Sweeney , Ciprian M. Crainiceanu and John Muschelli III.

Overview
  • 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).

Syllabus
    • Introduction
    • Neuroimaging: Formats and Visualization
      • 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.
    • Image Processing
      • 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.
    • Extended Image Processing
      • 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.

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