- Data review
- Event definition and handling
- ERP analysis
- Source analysis
- Time-frequency analysis and coherence
- ICA analysis
- Cross-subject statistics
- Batch processing
- Matlab interface
Choose the best signal processing for your EEG and MEG data
BESA is the most widely used software for source analysis and dipole localization in EEG and MEG research. BESA Research has been developed on the basis of 30 years of experience in human brain research by Michael Scherg, University of Heidelberg, Patrick Berg, University of Konstanz, their team and collaborators.
BESA Research is a highly versatile and user-friendly Windows® program with optimized tools and scripts to preprocess raw or averaged data for source analysis. All important aspects of source analysis are displayed in one window for immediate selection of a wide range of tools. BESA Research provides fast and easy hypothesis testing, a variety of source analysis algorithms, integration with MRI and fMRI, standardized realistic head models (FEM) as well as the possibility to import individual head models (FEM) generated by BESA MRI 2.0.
The statistical analysis of the results achieved by BESA Research can be performed with the highly user-friendly BESA Statistics 2.0, that features statistical comparison (non-parametric cluster permutation testing) of two or more groups.