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Resource Name
BESA
RRID:SCR_009530 RRID Copied      
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BESA (RRID:SCR_009530)
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Resource Information

URL: http://besa.de

Proper Citation: BESA (RRID:SCR_009530)

Description: 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.

Abbreviations: BESA

Synonyms: Brain Electrical Source Analysis

Resource Type: software resource, software application

Keywords: application, connectivity analysis, eeg, meg, electrocorticography, eeg modeling, event related potential, finite element analysis, forward - inverse, fourier time-domain analysis, independent component analysis, meg modeling, modeling, principal component analysis, source separation analysis, spectral analysis, statistical operation, surrogate data analysis, temporal transformation, time domain analysis, evoked potential, evoked field, event-related field, neuroimaging, mri, fmri

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