https://github.com/dangom/sfs

Signal Fluctuation Sensitivity
https://github.com/dangom/sfs

Last synced: about 1 month ago
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Signal Fluctuation Sensitivity

• Host: GitHub
• URL: https://github.com/dangom/sfs
• Owner: dangom
• License: mit
• Created: 2019-04-06T20:12:23.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-04-07T09:10:15.000Z (over 5 years ago)
• Last Synced: 2023-10-05T20:31:31.063Z (about 1 year ago)
• Language: Python
• Size: 5.86 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE-MIT

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README

        
# sfs

-----

**Table of Contents**

* [Purpose](#purpose)

* [Installation](#installation)

* [Usage](#usage)

* [License](#license)

## Purpose

SFS is a tool to compute signal fluctuation sensitivity from an fMRI dataset, as described in:

DeDora DJ, Nedic S, Katti P, Arnab S, Wald LL, Takahashi A, Van Dijk KRA, Strey HH and Mujica-Parodi LR (2016) 

Signal Fluctuation Sensitivity: An Improved Metric for Optimizing Detection of Resting-State fMRI Networks. 

Front. Neurosci. 10:180. doi: 10.3389/fnins.2016.00180

Currently a WIP. The tool works, but I still have to make sure that results are correct.

## Installation

Clone this repository and:

```bash

$ python setup.py develop

```

## Usage

```python

from sfs.metrics import signal_fluctuation_sensitivity

from nilearn import image

img = image.load_img("my/fmri/dataset.nii.gz")

sfs = signal_fluctuation_sensitivity(img)

```

## License

sfs is distributed under the terms of the

[MIT License](https://choosealicense.com/licenses/mit).