Fmri Python Packages

nilearn

Machine learning for NeuroImaging in Python

hedtools

Python validation, summary, and analysis tools for HED (Hierarchical Event Descriptors).

junifer

Forschungszentrum Jülich Neuroimaging Feature Extractor

tedana

TE-dependent analysis of multi-echo fMRI

fmriprep

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.

neurocaps

A Python package for performing Co-Activation Patterns (CAPs) analyses on resting-state and task-based fMRI data.

fmriprep-docker

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.

neurora

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)

brainiak

Brain Imaging Analysis Kit

phys2cvr

python module to compute cerebrovascular reactivity mapping and other related maps

pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

pyspfm

Blind sparse hemodynamic deconvolution methods for fMRI data

visualqc

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

rshrf

Resting state HRF estimation from BOLD-fMRI signal

nibabies

fMRIPrep Lifespan - A robust, transparent workflow tailored for neonate and infant MRI

multiecho

Combine multiple-echoes from a multi-echo BOLD fMRI acquisition.

nibabies-wrapper

fMRIPrep Lifespan - A robust, transparent workflow tailored for neonate and infant MRI

frat-brain

An analysis tool that uses per-voxel statistical maps in conjunction with FSL atlases to create per-region statistical maps. Current usage includes the creation of regional maps of temporal signal to noise ratio.

actflow

The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.

topoconscious

Persistent homology pipeline for detecting neural correlates of consciousness from fMRI

pyqmix

Qmix pump and valve interface

nichord

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

hcp-utils

Utilities to use HCP and HCP-like data with nilearn and other Python tools

fmri-volumetric-renderer

A volumetric fMRI renderer for Jupyter Notebook