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Sleep

Understanding Sleep vs Wake Brain Connectivity Using Simultaneous fMRI and EEG

This project investigates how resting-state functional connectivity differs between sleep and wake states using simultaneous EEG and fMRI data from the OpenNeuro “Simultaneous EEG and fMRI signals during sleep from humans” dataset. By comparing default mode network connectivity and EEG frequency-band connectivity across states, the project found minimal differences at the network level but a reliable increase in theta-band connectivity during sleep, highlighting the value of combining modalities to characterize state-dependent brain connectivity.

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Sleep detection using fMRI data

This project utilizes fMRI data and machine learning to predict sleep states, aiming to enhance understanding of sleep patterns and disorders. By analyzing brain activity during different sleep stages, it seeks to improve diagnostics and develop personalized treatments for sleep disorders. The primary goal is to determine whether a participant is asleep or awake using resting-state fMRI data.

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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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