BESA Connectivity

BESA Connectivity for EEG/MEG connectivity analysis which integrates seamlessly with BESA Research 7.0, and sets new standards for user-friendly analysis and visualization of brain connectivity, using state-of-the-art technologies. BESA Connectivity 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:

• Three time-frequency methods and six connectivity methods supported, including Imaginary Part of Coherency, Granger Causality, PDC, DTF
• Direct comparison between 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
• Highly versatile image and video export of results
• ASCII data result export and input support for Matlab
• Modern 64-bit architecture optimized for multi-core processing
• Workflow-based user guidance for optimized usability

Read the article and more information over on Besa's Wikipedia