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.

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

This repository is dedicated for the tutorial on network and topological neuroscience.

Official code release for BOLD5000 Release 2.0

How-to examples and a batch pipeline for second-level neuroimaging analysis. Batch scripts and examples publish HTML files with code and output.

Tutorial on representational similarity analysis for MIND 2018

Materials for the "Introduction to fMRI analysis" workshop at the MRC CBU

Examples available at:

Teaching computational reproducibility for neuroimaging

User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.

Scripts used in the "Spatiotemporal Structure of Spontaneous Brain Activity in Autistic Children" project.

HED Standard Organization Profile Page

Analyzing event related fMRI data with mutual information with R

Project Web site of our Brains on Code research group

The Evaluative Role of Rostrolateral Prefrontal Cortex in Rule-Based Category Learning

Website for the NeuroCognitive Imaging Lab, directed by Dr. Aaron J. Newman at Dalhousie University.