fmri

Machine learning for NeuroImaging in Python

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Pycortex is a python-based toolkit for surface visualization of fMRI data

Brain Imaging Analysis Kit

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Graph theory analysis of brain MRI data

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)

Official AFNI source and documentation

TE-dependent analysis of multi-echo fMRI

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

SPM (Statistical Parametric Mapping) - Development Version

Python toolbox for analyzing imaging data

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

A dynamic connectome mapping module in python.

Easy to use web database for statistical maps.

Code supporting 'Geometric constraints on human brain function'

ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Package for visualizing brain networks. Creates chord diagrams drawn using matplotlib

The Multi-Modality Visualization Tool (MMVT) is built for researchers who wish to have a better understanding of their neuroimaging anatomical and spatio-temporal data