Theory and Empirical Research (TEWA) – Neuroimaging

Focus: Reproducable fMRI data analysis using Python

Goals

Learn the basics of the Python programming language as well as of software libaries commonly used in research (e.g., NumPy, Pandas, Matplotlib)
Get a basic understanding of fMRI preprocessing and analysis. Cave: The goal of the course is not necessarily that you will be able to independently perform a full-fledged state-of-the-art fMRI analysis. Rather, we focus on teaching the basics, learning how to get help etc. All of this as reproducible as possible
Becoming familiar with the NiPy framework, Neurodesk, as well as common neuroimaging software tools

Name		Name	Last commit message	Last commit date
Latest commit History 122 Commits
.github/workflows		.github/workflows
resources		resources
01_Intro_Python_Colab_Nilearn.ipynb		01_Intro_Python_Colab_Nilearn.ipynb
02_Understanding_MRI_Data.ipynb		02_Understanding_MRI_Data.ipynb
03_Neuroimaging_File_Formats.ipynb		03_Neuroimaging_File_Formats.ipynb
04_Motion_Intro_Preprocessing.ipynb		04_Motion_Intro_Preprocessing.ipynb
05_Preprocessing_Nipype.ipynb		05_Preprocessing_Nipype.ipynb
06_First_Level_Analysis.ipynb		06_First_Level_Analysis.ipynb
07_Second_Level_Analysis.ipynb		07_Second_Level_Analysis.ipynb
08_Masking_Extracting_Signals.ipynb		08_Masking_Extracting_Signals.ipynb
Individual_Assignment.ipynb		Individual_Assignment.ipynb
README.md		README.md