Run ICA-AROMA on fMRIPrep derivatives

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

Combine fMRI/EEG to learn about music/auditory processing

Scripts for comparing different fmriprep denoising approaches on quality control functional connectivity (QC-FC) motion, QC-FC distance-dependence, and temporal degree of freedom loss.

Modular, YAML-configured Python pipeline for multi-scale fMRI functional brain network analysis. Validated on OpenNeuro ds007318 with Schaefer-200 parcellation.

Package for multivariate fMRI analyses

A BIDS App for running rapidtide on a preprocessed fMRI dataset.

An attempt at an fMRIPost workflow for handling phase data

Code for our pilot study on social closeness, trust, and aging.

Utilities for using fmriprep on the DCCN compute cluster

This repository contains materials for a workshop on fmriprep

🧠 Standardized fMRI preprocessing and analysis framework with fMRIPrep integration and interactive TUI for reproducible neuroimaging research across multiple studies at Stanford Memory Lab.

Command line automation of SPM

Simple script to convert functional files from fmriPrep to BrainVoyager.

Brain Imaging Documentation Website at NYUAD

This is a neural data science project to investigate relationships between music and depression using Neural Data Science Techniques

The HCP Pipelines product is a set of tools (primarily, but not exclusively, python3) for processing MRI image using Nipy. This repository is based on the original HPC preprocessing pipeline

Ready-to-analyze ABIDE I & II (preprocessed with fMRIPrep)

A curated list of free resources for fMRI and fMRI data analysis: videos, courses, and tutorials. Covers FSL, fMRIPrep, Nilearn, NiBabel, and the GLM. For students and researchers getting started with neuroimaging. Contributions are welcome.

Brain Hack School 2021 project that explores the stages of data preprocessing up to machine learning classification.