Choose the best signal processing for your EEG and MEG data.
BESA (Brain Electrical Source Analysis) is the most widely used software for source analysis and dipole localization in EEG and MEG research. BESA has been developed on the basis of 20 years experience in human brain research by Michael Scherg, University of Heidelberg, and Patrick Berg, University of Konstanz.
BESA 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 provides a variety of source analysis algorithms, a standardized realistic head model (FEM), and allows for fast and easy hypothesis testing and integration with MRI and fMRI.
Source coherence, a unique new feature for viewing brain activity
BESA transforms the surface signals into brain activity using source montages derived from multiple source models. This allows you to display ongoing EEG, single epochs, and averages with much higher spatial resolution.
The Source Coherence Module provides an extremely fast and user-friendly implementation of time-frequency analysis based on complex demodulation. Users can create event-related time-frequency displays of power, amplitude, or event-related (de)synchronization and coherence for the current montage using brain sources or surface channels. Induced and evoked activities can be separated. Source coherence analysis reveals the functional connectivity between brain regions by reducing the volume conduction effects seen in surface coherence.
More than just dipole source localization
BESA covers the whole range of signal processing and analysis from the acquired raw data to dynamic source images:
- Windows® 10, 8.1, 7 (32 bit and 64 bit versions)
- Processor: minimum: 2 GHz
- RAM: minimum 4 GB; recommended: 8 GB or higher
- Graphics card supporting OpenGL 1.1 with 16 MB RAM or more