The China-Cuba-Canada Neuroinformatics Ecosystem for qEEGt
The China-Cuba-Canada Neuroinformatics Ecosystem for qEEGt
This lecture contains an overview of the China-Cuba-Canada neuroinformatics ecosystem for Quantitative Tomographic EEG Analysis (qEEGt).
Topics covered in this lesson
- Developing infrastructure for the CCC and GBC: LORIS, CBRAIN and methods (Valdes-Sosa, Pedro)
- Classical Quantitative Tomographic EEG Analysis (qEEGt), a resource of CBRAIN
- Applications of the classical qEEGt: Malnutrition and Learning disabilities
- Multimodal neuroimaging: acquisition and processing pipelines
- Empowering qEEGt with BC-VARETA and Riemannian geometry: a new generation of MEEG source imaging and connectivity methods and statistics
- Registration of electrophysiology with BigBrain: Informing MEEG connectivity with structural priors and layer-specific neural mass modeling
Documents
Slides
(5.93 MB)
External Links
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