Easy and comprehensive assessment of predictive power, with support for neuroimaging features
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Updated
Mar 21, 2024 - Python
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.
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)
Volume Local Analysis -- Chest Wall Plethysmography using Opto-Electronic Sensor Data
A Quality Control database for the HCP resting-state scans
Matlab code and tutorial for computing modular dissociation (MD) from connectivity matrices
Final project for the "Python for (open) Neuroscience" course (2024).
Standardized Resting-State Paradigm
Code for "Ultra-slow fluctuations in the fourth ventricle as a marker of drowsiness" Gonzalez-Castillo et al. 2022 Neuroimage
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