BESA (Brain Electrical Source Analysis) 4.x/5.x, 5.1.8 (c) MEGIS Software GmbH *Dongle Emulator (Dongle Crack) for Aladdin Hardlock*
BESA is the most widely used software for source analysis and dipole localization in EEG and MEG research. BESA Research has been developed on the basis of 20 years experience in human brain research by Michael Scherg, University of Heidelberg, and Patrick Berg, University of Konstanz.
BESA Research is a highly versatile and user-friendly Windows® program with optimized tools and scripts to preprocess raw or averaged data for source analysis. All important aspects of source analysis are displayed in one window for immediate selection of a wide range of tools. BESA Research provides a variety of source analysis algorithms, a standardized realistic head model (FEM), and allows for fast and easy hypothesis testing and integration with MRI and fMRI.
Source coherence, a unique feature for viewing brain activity
BESA Research transforms the surface signals into brain activity using source montages derived from multiple source models. This allows to display ongoing EEG, single epochs, and averages with much higher spatial resolution.
The 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. Source coherence analysis reveals the functional connectivity between brain regions by reducing the volume conduction effects seen in surface coherence.
More than just dipole source localization
BESA Research covers the whole range of signal processing and analysis from the acquired raw data to dynamic source images:
* Data review and processing
* Source montages and 3D whole-head mapping
* ERP analysis and averaging
* Source localization and source imaging
* Cortical mapping and visualization in standard MRI
* Individual MRI and fMRI integration with BrainVoyager
* Source coherence and time-frequency analysis
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