The BESA beamformer is a modified version of the linearly constrained minimum variance vector beamformer in the time-frequency

domain as described in Gross et al., "Dynamic imaging of coherent sources: Studying neural interactions in the human brain",

PNAS 98, 696-699, 2001. It allows to image evoked and induced oscillatory activity in a user-defined time-frequency range,

where time is taken relative to a triggered event.

The computation is based on a transformation of each channel's single trial data from the time domain into time-frequency space.

This transformation is performed by the BESA source coherence module and results in the complex spectral density Si(f,t),

where i is the channel index.


EEG Data Analysis