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fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
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.
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 GitHub repository contains code and data for a assignment investigating the brain's auditory networks using functional Magnetic Resonance Imaging (fMRI).
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.