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 experience in human brain research by the team around Michael Scherg, University of Heidelberg, and Patrick Berg, University of Konstanz.
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 and connectivity analysis. All important aspects of source analysis and source imaging are displayed in one window for immediate selection of a wide range of tools. The same holds true for the source coherence / time-frequency module, and other analysis windows. BESA Research provides fast and easy hypothesis testing, a variety of source analysis algorithms including cortical imaging and volume imaging methods, integration with MRI and fMRI, age-appropriate template head models (FEM) as well as the possibility to import individual head models (BEM and / or FEM) generated by BESA MRI.
Connectivity analysis, a unique feature for viewing brain activity
BESA Research transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution.
The BESA Connectivity solution and the Source Coherence Module provide an extremely fast and user-friendly implementation of time-frequency analysis based on wavelets and / or complex demodulation.