Brainana Lite

Brainana Lite is a lightweight, easy-to-run workflow for quick volumetric T1w preprocessing on a single subject. It runs in Jupyter (local) or Google Colab and does not require Docker.

Compared with the full Brainana release, Brainana Lite:

  • Covers T1w only (no functional MRI, no cortical surface reconstruction)

  • Uses a notebook-driven setup (brainana[lite]) instead of the Nextflow Docker pipeline

  • Is suited for exploration and small jobs; for production-grade preprocessing, multi-modality data, surfaces, and the full QC suite, use Installation and Usage notes.

Processing steps include BIDS organization, optional T1w synthesis, conformation, brain extraction and tissue segmentation, bias field correction, template registration, and atlas backprojection.

How to run

Follow the interactive tutorial on GitHub:

BrainanaLite.ipynb

It includes setup, configuration, preprocessing, and QC. Open it on GitHub or download it for local Jupyter; on Colab, open from GitHub or upload—the runtime (Colab vs local) is detected automatically.