There are 3 repositories under fmri-preprocessing topic.
This repository contains the files that generate Andy's Brain Book on ReadTheDocs.
bids application for processing functional MRI data, robust to scanner, acquisition and age variability.
Using computational tools to explore the networks underlying cognitive neuroscience
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
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.
Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis
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.
A generally applicable whole-brain preprocessing toolbox for mice and rats
This code repository contains a collection of Python scripts for classifying autistic and control conditions using Support Vector Machines (SVM), leveraging preprocessed functional MRI (fMRI) data from the ABIDE dataset.
🐀🧠Using Convolutional Neural Networks to Predict fMRI Noise in Rats
Implementation of LSTM and CNN models for classification of visual stimuli from fMRI data on BOLD5000 dataset
Materials for the "fMRI analysis" workshop at the Cognitive Neuroscience Skills Training In Cambridge-2023 (COGNESTIC-2023).
legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm
A collection of python scripts and functions to (po)st(p)rocess fmridata, preprocessed with fmriprep
Code to analyze audio-visual-tactile high-resolution 7T data
Command line automation of SPM
fMRI-Preprocessing pipeline used for [Guillon et al., 2019]
This repository is associated with the manuscript: “Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder”
Python library for setting up FEAT analyses (FSL)
This repo is provided pipeline for preprocessing fmri & dti data to functional and structural connectivity matrices
preprocessing and statistical analysis for mouse MRI.
fMRI data processing pipelines
This GitHub repository contains code and data for a assignment investigating the brain's auditory networks using functional Magnetic Resonance Imaging (fMRI).
shell script package for (pre)processing fmri data
Repository for initial code behind OpenNFT's motion monitoring add-on (afterwards renamed to real-time quality assessment module (rtQA)).
This repository contains batch scripts to standardise and automate the processing of single echo (SE-fMRI), multi-echo (ME-fMRI) fMRI and VBM data in SPM12.
This repository suggests an organized pipeline for spatial preprocessing of fMRI data (both task-based and resting-state).
This repository contains some codes for the computational neuroscience.
predictive machine learning classification and data processing on neuroscience brain image data
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
Scripts used in the "Dynamic Functional Connectivity in Autism Spectrum Disorder" project.