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.

Combine fMRI/EEG to learn about music/auditory processing

Package for multivariate fMRI analyses

An attempt at an fMRIPost workflow for handling phase data

Repository for neurocaps, a Python package to perform Co-Activation Patterns (CAPs) analyses.

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

Command line automation of SPM

Simple script to convert functional files from fmriPrep to BrainVoyager.

Utilities for using fmriprep on the DCCN compute cluster

A MATLAB library designed to help fMRI block-based studies construct word lists for experiments, ensuring minimal correlation between words. This library provides methods for adjusting word list length and offers flexibility for user customization.

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

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

Code for importing/preprocessing/analysing wavepain MRI and behavioural data. And plotting routines.

Scripts used in the "Dynamic Functional Connectivity in Autism Spectrum Disorder" project.