Fmri Python Packages

nilearn

Machine learning for NeuroImaging in Python

junifer

Forschungszentrum Jülich Neuroimaging Feature Extractor

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.

hedtools

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

tedana

TE-dependent analysis of multi-echo fMRI

phys2cvr

python module to compute cerebrovascular reactivity mapping and other related maps

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.

neurocaps

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

brainfc

Resting-state fMRI functional connectivity, connectome, brain network and hypergraph analysis in Python with a local GUI. 静息态 fMRI · 功能连接矩阵 · 脑网络 · 超图分析

pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

neurora

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

brainiak

Brain Imaging Analysis Kit

warpkit

Python library for multi-echo distortion correction

nibabies

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

visualqc

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

pyspfm

Blind sparse hemodynamic deconvolution methods for fMRI data

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.

rshrf

Resting state HRF estimation from BOLD-fMRI signal

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.

multiecho

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

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

rust-dtw

Python extension backed by a multi-threaded Rust implementation of Dynamic Time Warping (DTW).