EEG software Connectivity 2.0

analysisvisualization

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