CORDIS Project
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This project introduces a new model for detecting and predicting changes in brain networks using Electroencephalography and Magnetic Resonance Imaging. It aims to enhance early diagnosis of neurodegenerative conditions by analyzing cognitive state shifts.
I propose a new model and estimation method that will allow Neuroscientists to detect, track, and predict temporal changes in dynamical brain networks non-invasively.
These changes underpin shifts in brain (cognitive) states which are currently inaccessible using standard Neuroimaging techniques.
The method combines recent advances in dynamical systems theory and Bayesian inference to integrate Electroencephalography (EEG) and Diffusion Weighted Magnetic Resonance Imaging (DWMRI) data in an effi…
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