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dartbrains
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
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DartBrains
An open-access introduction to functional neuroimaging analysis in Python.
Website: dartbrains.org
About
DartBrains provides interactive tutorials covering fMRI data analysis, from MR physics fundamentals through advanced analysis techniques. All content is authored as marimo notebooks with interactive visualizations.
Reading the tutorials
Browse online: Visit dartbrains.org to read all tutorials with rendered outputs.
Run interactively: Each tutorial page has an "Open in molab" link to launch the notebook with live code, interactive widgets, and editable cells.
Local development
Requires uv and Python 3.13+.
# Clone the repo
git clone https://github.com/ljchang/dartbrains.git
cd dartbrains
# Install dependencies
uv sync
# Edit a notebook
uv run marimo edit content/MR_Physics.py
# Validate book.yml
uv run marimo-book check
# Live-reload dev server
uv run marimo-book serve
# One-shot static build (output: ./_site/)
uv run marimo-book build
License
All content is licensed under CC BY-SA 4.0.
Acknowledgements
Created by Luke Chang and supported by NSF CAREER Award 1848370 and the Dartmouth Center for the Advancement of Learning.