I am currently working on understanding how neural damage post stroke can result in specific behavioural deficits. In particular, I make use of advanced mathematical techniques to tackle large scale behavioural and neuroimaging data (such as combining principle component analysis with lesion correlation methodology). I am making use of multimodal data (high resolution T1-weighted, diffusion-weighted, resting-state fMRI), in order to build a predictive model that can accurately estimate specific behavioural scores based purely on neuroimaging measures.
fMRI (task-related and rest)
EEG/MEG (ERPs, source analysis and frequency analysis)
Diffusion weighted imaging
Structural and functional connectivity analyses
Data reduction methods (PCA, ICA, etc)
Combining methodologies (EEG-fMRI; PCA-VBCM)