Code for importing/preprocessing/analysing wavepain MRI and behavioural data. And plotting routines.
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Updated
Jan 10, 2024 - MATLAB
Code for importing/preprocessing/analysing wavepain MRI and behavioural data. And plotting routines.
Collection of Plugins for PyNIPT project
Public repository for code related to the VP multiband experiment/dataset.
shell script package for (pre)processing fmri data
Scripts in bash and python to manipulate dicom images
Construction of functional network from fMRI tasked-based data
Automated processing of single echo (SE), multi-echo (ME) fMRI, ASLBOLD and VBM in SPM12.
Repository for initial code behind OpenNFT's motion monitoring add-on (afterwards renamed to real-time quality assessment module (rtQA)).
Code to run and analyse of audiovisual/attention 7T experiment
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
predictive machine learning classification and data processing on neuroscience brain image data
This repository contains some codes for the computational neuroscience.
“Plasma p-Tau181 and GFAP track 7T MR-based changes in Alzheimer’s disease”, Göschel L, 2023
This GitHub repository contains code and data for a assignment investigating the brain's auditory networks using functional Magnetic Resonance Imaging (fMRI).
This repository suggests an organized pipeline for spatial preprocessing of fMRI data (both task-based and resting-state).
Scripts used in the "Dynamic Functional Connectivity in Autism Spectrum Disorder" project.
Comparing latent space representations using autoencoders and vision transformers using fMRI data.
Portfolio assignments mainly focused on how the general linear model (GLM) can be used for the analysis of brain scan data. 2019 spring semester at Aarhus University
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