Neuroimaging Data Analysis in R

Analyzing brain imaging data requires a unique blend of programming skills and domain-specific knowledge to handle complex spatial datasets. This course provides a clear path for using R to manage neuroimaging information, transforming raw MRI scans into meaningful analytical results through written explanations and code examples. By completing this course, you will understand how to manipulate, process, and visualize structural brain images while maintaining high standards for data integrity. What you'll learn: - Understand core neuroimaging terminology and the NIfTI data format - Read, write, and manipulate 3D brain images using specialized R packages - Apply essential preprocessing steps like inhomogeneity correction and brain extraction - Perform image registration to align scans across different subjects or time points - Visualize neuroimaging data effectively using modern R plotting tools - Practice reproducible research patterns using the BIDS framework and tidyverse principles The course begins with foundational concepts of digital imaging and R data structures before progressing through a standard neuroimaging pipeline, from raw data ingestion to final visualization. It is designed specifically for beginners in data science or neuroscience, requiring no previous experience with medical imaging. Start your journey into neuroimaging data analysis today.