https://github.com/htwangtw/sbfc

Seed-based resting-state functional connectivity with Nilearn.
https://github.com/htwangtw/sbfc

brainweb fmri functional-connectivity neuroimaging nilearn resting-state-fmri

Last synced: 10 days ago
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Seed-based resting-state functional connectivity with Nilearn.

• Host: GitHub
• URL: https://github.com/htwangtw/sbfc
• Owner: htwangtw
• License: bsd-3-clause
• Created: 2021-04-29T15:24:04.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2022-02-22T18:18:39.000Z (over 4 years ago)
• Last Synced: 2026-05-24T01:33:19.940Z (10 days ago)
• Topics: brainweb, fmri, functional-connectivity, neuroimaging, nilearn, resting-state-fmri
• Language: Python
• Homepage:
• Size: 112 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
> ## ⚠️ This project is not actively maintained anymore as the author doesn't do Seed-based resting state functional connectivity analysis on a regular basis anymore. ⚠️

> Please feel free to take over, give it a better name, and take the idea to adapt in your own analysis.

# SBFC

Seed-based resting state functional connectivity with Nilearn.

This project is subject to change as Nilearn GLM features are still under development.

[![Test and coverage](https://github.com/htwangtw/sbfc/actions/workflows/main.yml/badge.svg)](https://github.com/htwangtw/sbfc/actions/workflows/main.yml)

[![codecov](https://codecov.io/gh/htwangtw/sbfc/branch/main/graph/badge.svg?token=014wbcr2sJ)](https://codecov.io/gh/htwangtw/sbfc)

## Dependencies

The required dependencies to use the software are:

* Python >= 3.7

* Nilearn >= 0.7.0

* Matplotlib >= 3.4.0

## Install

First make sure you have installed all the dependencies listed above.

Then you can install by running the following command in

a command prompt:

```bash

pip install git+http://github.com/htwangtw/sbfc.git

```

## Prepare your data

This library work on minimally processed data only.

If you need to preprocess your imaging data, please consider `fMRIprep`.

You can find an example in [`example`](https://github.com/htwangtw/sbfc/tree/main/example) and files that you should prepare to run the pipeline.