Effects of Sleepiness on Resting-State Connectivity

Can functional connectivity predict sleep deprivation? This project aims to explore neuroimaging data organization to build a workflow from the acquisition of an open dataset to the visualization of brain connectivity. The pipeline will be detailed and carried out for one subject, using resting state fMRI to compare the result between normal sleep and sleep deprivation (less than 3 hours of sleep the previous night).

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rs-fMRI Workflow from Preprocessing to Machine Learning Classification

Can functional connectivity predict sensory deprivation? This project 1. explores neuroimaging data organization and preprocessing using open science tools and 2. uses a predictive model to classify whether a participant is hearing or not. For better visualization, the most contributing coefficients in the classifier are displayed on the brain.

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Generating a BIDS compatible dataset and interactive graphs from the Projet Courtois NeuroMod's hearing test data

In a longitudinal study, the amount of data and figures to manage and create quickly becomes too massive to be manually handled. The goal of this project is to create tools to take an auditory test database and automatically format it into a BIDS compatible dataset and generate interactive graphs.

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