BESA Research Manual
|Modules||BESA Research Basic or higher|
|Version||BESA Research 6.1 or higher|
Welcome to BESA Research
BESA Research is the most widely used software for source analysis and dipole localization in EEG, MEG, Evoked Potentials and ERP research. BESA Research has been developed on the basis of over 20 years of experience in human brain research by Michael Scherg, University of Heidelberg, and Patrick Berg, University of Konstanz.
BESA Research provides many advanced features for automatic source localization, fast modelling and easy, interactive hypothesis testing. Source analysis can be performed simultaneously on multiple conditions with advanced constraints based on anatomy and physiology. In addition to discrete multiple dipole modelling, all major distributed imaging methods are also available for comparison. This makes BESA a complete all-in-one tool for source imaging.
BESA has all the features required to perform offline processing of continuously acquired EEG and MEG data using external and internal triggers, e.g. generated from an EMG channel or by spatio-temporal pattern search. Triggers are automatically mapped into predefined paradigms to provide for a fast selection of combinations of averages (addition, subtraction, subsets). Based on the spatial components approach of Berg and Scherg (1994), artifacts (e.g. eye and ECG) can be corrected on the fly from EEG, MEG, and ERP data.
Special viewing options allow for easy selection of averaged or single epochs of interest (e.g. spikes) and for immediate source localization and analysis. Digitized 3D sensor locations can be used to coregister EEG or MEG data with structural and functional MRI. Fitted dipole sources can be superimposed directly to the individual MR image. Using the interactive link with the famous BrainVoyager software of Dr. Rainer Goebel, BOLD clusters in functional MRI (fMRI) can be used directly as seeds for dipoles sources.
Information about updates and new releases can be found on the BESA homepage http://www.besa.de
Integration with MRI and fMRI
|Integration with MRI and fMRI|