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.
Irccs san camillo neuroimages

Staff of the Computational Neuroimaging Laboratory

Principal Investigator

Marco Zorzi

Marco Zorzi

Research psychologist

Collaborators

Silvia Salvalaggio

Silvia Salvalaggio

Physiotherapist and PhD student

Michele De Filippo De Grazia

Michele De Filippo De Grazia

computer scientist

Sebastiano Cinetto

Sebastiano Cinetto

PhD Psychologist (UniPD)

Research Assistants

Federica Zagarese

Federica Zagarese

Research assistant psychologist

Trainee

 Federico Vanni

Federico Vanni

Trainee psychologist

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