- 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).
- This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.
A book related to the class can be found here: https://leanpub.com/principlesoffmri
- This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”
- Imaging in R is almost Neurohacking 2.0 (maybe 1.5), where the majority of the tutorials use ANTsR versus the fslr package that was the primary analysis package in Neurohacking 1.0.