Computational Neuroimaging Laboratory
The Computational Neuroimaging Laboratory carries out research activities on the neural bases of behaviour, with particular regard to cognitive functions, and deficits resulting from brain lesions. It develops and validates computational models based on structural and/or functional brain connectivity measurements obtained from neuroimaging data (MRI or EEG) to predict the severity of behavioural deficits and possible functional recovery. The development of these models makes use of the latest developments in artificial intelligence (machine learning and deep learning) and is aimed at optimising and personalising rehabilitation strategies. The Laboratory benefits from the Neuropsychology, Neuroimaging, Neurophysiology and Neuromodulation Facilities provided by the Research Hospital.
Research activities conducted at the Computational Neuroimaging Laboratory include:
- Analysis of brain lesions and disconnections in patients with stroke outcomes;
- Analysis of functional connectome;
- Study of the relationships between brain connectivity and cognitive deficits, in particular visual attention;
- Development of predictive computational models of behavioral deficits and functional recovery;
- Development of new personalised rehabilitation methods based on adaptive algorithms.