BESA Connectivity
BESA Connectivity 2.0 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.
Particular highlights include:
Four time-frequency methods and nine connectivity methods supported, including Imaginary Part of Coherency, Phase Lag Index, Granger Causality, PDC, DTF
Batch mode enabling multi-subject analysis of up to ten different conditions
Grand Average visualization
Direct comparison between subjects, conditions, time-frequency methods, connectivity methods with one or two mouse clicks
Support for source montages as well as sensor-level data and polygraphic channels
Superior visualization of results in 2D and 3D
Several connectivity visualization modes including connectome view, circular graph view, 3D view
Highly versatile image and video export of results
ASCII data result export and input support for Matlab
Full (multi-subject) project exports for direct reading into BESA Statistics
Modern 64-bit architecture optimized for multi-core processing
Workflow-based user guidance for optimized usability
The list of new features and changes to previous versions of BESA Connectivity 2.0 is provided in theBESA Connectivity 2.0 – Update History.
Please refer to the BESA Image brochure, pp 21 ff for detailed information.
A short guide to the usage of BESA Connectivity is given in the document Steps for using BESA Connectivity.
You can download the complete BESA Connectivity manual here.
BESA Connectivity integrates optimally with data that were analyzed in BESA Research 7.0 or higher, but it can also process data from other software packages as long as they conform to the BESA Connectivity file format.
The program is fully integrated into the BESA Research Complete package, but can also be ordered as a standalone product.


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