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

Topological data analysis of brain networks through order statistics

This is a Work In Progress (WIP) project. It is part of my undergraduate studies in Biomedical Engineering at Ostbayerische Technische Hochschule in Germany. This repository incorporates the code and results of my participation in the course Data Science Projects: Train you own Machine Learning Model.

Computing Temporal ICA from HCP resting state data using Functional Modes DiFuMo atlas.

some of the work I've done with resting-state fMRI

Tools for mapping human motor circuits - with implications for Parkinson's Disease

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.

Analysis scripts used to analyze the local and global functional connectivity of the medial temporal lobe including the amygdala ('A-MTL') described in Ruiz-Rizzo et al. (2020), NeuroImage.

Scripts for the paper: A supervoxel-based method for groupwise whole brain parcellation with resting-state fMRI data.

Sparsely Reconstructed Graphs (SpaRG) for robust and interpretable fMRI analysis using GNNs and VAEs.

PUMI: neuroimaging Pipelines Using Modular workflow Integration

Between-network functional connectivity across frequency bins described in Küchenhoff et al. (2021), European Journal of Neuroscience.

Resting-state Functional Correlation (RSFC) node set (Chan et al. 2014 PNAS)

Seed-based resting-state functional connectivity with Nilearn.

Easy Resting State Analysis with Python

Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision - PyTorch Implementation (MICCAI 2021)

A Python software package for sKPCR

Documentation and MATLAB code for test-retest functional MRI studies.

This repository contains the notes, matlab toolbox and implement document of the brant. Enjoy!