BESA GmbH software

BESA Research 7.1 provides the ideal combination of state-of-the-art research tools and proven diagnostic workflows in M/EEG analysis of human brain signals. Whether you are aiming for unlocking mechanisms of brain connectivity and function, or for enhanced diagnostic use on epileptiform data, BESA Research 7.1 will help you to achieve your targets reliably and with more pathways than ever before. This further expands on the set of new features that was introduced in the previous version BESA Research 7.0.

BESA Connectivity 1.0 provides optimized, user-guided workflows for time-frequency and connectivity analysis of EEG/MEG data. Multiple well-established methods are provided. They were optimized for stream-lined performance that yields results for multiple combinations of input data types, time-frequency methods, and connectivity measures.

BESA Statistics 2.1 greatly enhances the options of the previous version 2.0. As before, dedicated workflows allow you to perform t-test, single-factor ANOVA, and correlation analyses of your data using the parameter-free cluster permutation statistics which so elegantly solve the multiple-test problem. Several new input data types were added to this pipeline, in order to ensure that time-frequency analyses and connectivity analyses are now fully supported.