Analysis and Visualisation Software / BESA EEG/MEG Analysis
Versatile and user friendly signal processing for EEG and MEG data. The most widely used software in EEG and MEG research, developed on the basis of 20 years experience in human brain mapping. Wide variety of source analysis algorithms. Bidirectional connection with BrainVoyager™ allows source seeding from fMRI clusters with one mouse click
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Data review and processing module
Source montages and 3D whole-head mapping
ERP analysis and averaging
Source coherence and time-frequency display
Integration with MRI and fMRI
This main BESA window provides many tools for reviewing and processing of your EEG or MEG data.
Raw data are directly read using readers implemented for many EEG and MEG file formats. Data processing steps include digital filtering,
artifact detection and correction, computation of correlation and spectral analysis. All these steps can be performed easily with a few mouse clicks.
A variety of different display options allows for convenient review of your data.
This module assists in extracting event-related potentials or fields from your raw data.
It provides an easy-to use interactive tool for designing your own scripted paradigms with predefined trigger definitions, conditions and settings for averaging. Data Files can be scanned automatically for artifacts, and bad channels and samples can be easily identified and excluded using an advanced 2D selection tool. A variety of displays is at hand to view the event-related signals,including 3D whole head maps and event-related (de)synchronization
BESA has a highly interactive and easy-to-use window for source analysis. All relevant information is available at one glance including data, PCA, source waveforms and source localization in 3D head schemes or standardized MRI. You can choose among a variety of state-of-the-art source modeling techniques and head models. 2D and 3D source imaging can be performed with projection onto a standardized MRI.
Source coherence analysis reveals the functional connectivity between brain regions. This is achieved by transforming the surface signals into brain activity using brain source montages derived from multiple source models. The new Source Coherence Module provides an extremely fast and user-friendly implementation of time-frequency analysis based on complex demodulation. Users can create event-related time-frequency displays of power, amplitude, or event-related (de)synchronization and coherence for the current montage using brain sources or surface channels. Induced and evoked activities can be separated.
For an easy superposition of the results of source analysis with individual MRI and fMRI data, BESA provides an interactive link to Rainer Goebel's BrainVoyager program. The bidirectional connection of the two programs allows for source seeding from fMRI clusters with one mouse click.