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.
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Johns Hopkins University
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TOP REVIEWS FROM INTRODUCTION TO NEUROHACKING IN R
A nice introduction to neurohacking in R. I would recommend this course for beginners.
Thanks for the course. It was a nice course with good explanation. I enjoyed learning.
Very Informative. I suggest all people who are seeking to gain knowledge about image processing should definitely check this out.
Perhaps links to some materials regarding explanation of the data could be provided.
About the Neuroscience and Neuroimaging Specialization
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging.
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