Methods and Modeling

Modeling and Data Analysis concern:

  • Development of new methods for electromagnetic inverse solution
  • Analysis of stationary and non-stationary brain signals
  • Bayesian methods for fMRI data analysis
  • Data quality control
  • Support for fMRI data analysis
  • Methods for the analysis of stationary and non stationary brain connectivity during a task and at rest
  • Methods for EEG/MEG-fMRI data fusion and combined analysis
  • Neuronavigation for fMRI guided TMS
  • Data pre-processing for EEG-fMRI and EEG-TMS
  • Brain connectivity studies using multimodal data

 

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