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. Lo sviluppo di questi modelli si avvale dei più recenti sviluppi dell’intelligenza artificiale (machine learning e deep learning) ed è finalizzato alla ottimizzazione e alla personalizzazione delle strategie di riabilitazione. Il Laboratorio usufruisce delleStrumentazioni e servizi di Neuropsicologia, Neuroimmagini, Neurofisiologia e Neuromodulazione.
Activities:
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 custom rehabilitation methods based on adaptive algorithms.
Staff of the Computational Neuroimaging Laboratory
Principal Investigator
Marco Zorzi
Research psychologist
Collaborators
Silvia Salvalaggio
Physiotherapist and PhD student
Michele De Filippo De Grazia
computer scientist
Sebastiano Cinetto
PhD Psychologist (UniPD)
Research Assistants
Federica Zagarese
Research assistant psychologist
Trainee
Federico Vanni
Trainee psychologist