fSTG-Toolkit 1.2.0

Aan Open-Source Software for Spatio-Temporal Graph Analysis of fMRI data.

fSTG Toolkit: an Open-Source Software for Spatio-Temporal Graph Analysis of fMRI data

Overview

fSTG Toolkit is an open-source software dedicated to longitudinal analysis of brain connectivity, modeling data as spatio-temporal graphs. It enables the study of dynamics and reorganization of brain regions, primarily using functional MRI (fMRI) data, but is also compatible with any type of connectivity data.

Current main features:

• Building of spatio-temporal graphs from correlation matrices and region definitions.
• Advanced graph metrics computation.
• Interactive visualization of results via a web dashboard.
• Simulation of connectivity patterns and sequences.
• Frequent subgraph pattern mining via SPMiner integration.

Installation

Installation from PyPI

The easiest way to get started is to install the package from PyPI. Make sure you have a Python environment ready with a supported version (see the badge above), then run:

pip install fSTG-Toolkit

To install optional feature sets:

pip install "fSTG-Toolkit[dashboard]"   # web dashboard
pip install "fSTG-Toolkit[plot]"        # matplotlib plots
pip install "fSTG-Toolkit[frequent]"    # frequent pattern mining (requires Docker)
pip install "fSTG-Toolkit[dashboard,plot,frequent]"  # everything

Installation from Source

To install from source, create a new environment with the required Python and Poetry binaries. Using conda:

conda env create -n <env_name> -f environment.yml
conda activate <env_name>

Then in the project's root folder, install the dependencies:

poetry install

To install optional feature sets:

poetry install --extras dashboard   # web dashboard
poetry install --extras plot        # matplotlib plots
poetry install --extras frequent    # frequent pattern mining (requires Docker)
poetry install --all-extras         # everything

Quick Start

# Build graphs from a correlation matrix file and an areas CSV
python -m fstg_toolkit graph build -o my_graphs.zip areas.csv matrices.npz

# Compute graph metrics
python -m fstg_toolkit graph metrics my_graphs.zip

# Open the interactive dashboard
python -m fstg_toolkit dashboard show my_graphs.zip

The areas CSV must contain Id_Area, Name_Area, and Name_Region columns. Correlation matrices must be NumPy files (.npz or .npy) with shape (T, N, N).

Use --help on any command for full options:

python -m fstg_toolkit --help
python -m fstg_toolkit graph build --help

Full usage documentation, tutorials, and API reference are available at fstg-toolkit.readthedocs.io.