Constructing Personalized Models From Empirical Data
Brain network reconstruction from empirical data is of key importance to generate personalized virtual brain models. This lecture will introduce the basic concepts of preprocessing structural, functional and diffusion weighted neuroimages. It highlights the latest methods and pipelines to extract structural as well as functional connectomes according to a multimodal parcellation.
- Techniques for neuroimage preprocessing
- Structural and functional connectome extraction
- EEG forward modelling