Easy and comprehensive assessment of predictive power, with support for neuroimaging features

micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below

Collection of Matlab functions for denoising fMRI data

A Matlab-based software package for preprocessing the resting-state fMRI data

MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity

Code used for research project. Our objective is to identify people based on patterns of brain connectivity (as indexed by MEG) using Deep Learning and other linear methods

Frequency analysis for resting-state EEG data.

Leading Eigenvector Dynamics Analysis Matlab Toolbox

This toolbox enables to automatically preprocess and analyze resting-state Biosemi EEG files, relying on the EEGLAB software and additional toolboxes.

scorEpochs: a computer aided scoring tool for resting-state M/EEG epochs

This repo contains preprocessing scripts used in the lab, organized (mainly) by imaging modality.

time-frequency analysis for EEG

we will use supervised learning techniques to classify the independent component (IC) images of resting state functional magnetic resonance imaging (rs-fMRI) scans as Noise and Resting state network (RSN)

Code for "Ultra-slow fluctuations in the fourth ventricle as a marker of drowsiness" Gonzalez-Castillo et al. 2022 Neuroimage

Code associated with pre-print titled: In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants “rest” matters.

Volume Local Analysis -- Chest Wall Plethysmography using Opto-Electronic Sensor Data

A Quality Control database for the HCP resting-state scans

Final project for the "Python for (open) Neuroscience" course (2024).

Global brain connectivity pattern analysis

Matlab code and tutorial for computing modular dissociation (MD) from connectivity matrices