 Powerful EEG / ERP Post-processing and Dipole Source
Modeling
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 18 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.
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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 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 Modeling
 BESA covers the whole range of signal processing and analysis
from the acquired raw data to dynamic source images:
System requirements
- Pentium, 800 MHz or higher, 256 MB RAM (512 MB RAM with source
coherence)
- Windows® 2000 or XP
- Graphics card supporting OpenGL 1.1 with 16 MB RAM or more
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