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

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

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

Frequency analysis for resting-state EEG data.

Standardized Resting-State Paradigm

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

MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity

Global brain connectivity pattern analysis

time-frequency analysis for EEG

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

Leading Eigenvector Dynamics Analysis Matlab Toolbox

Collection of Matlab functions for denoising fMRI data

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

A Quality Control database for the HCP resting-state scans

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

Word-list Multimodal Cortical Atlas (WMCA) is a brain atlas of the essential phonological processing regions.

Scripts used in the "Dynamic Functional Connectivity in Autism Spectrum Disorder" project.

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)

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