Besa
BESA Research EEG analysis
The best EEG signal processing for EEG and MEG data BESA is the most widely used software for source analysis and dipole localization in EEG and MEG research. BESA Research has been develop...
BESA MRI
BESA MRI is a CE-certified software to generate individual head models (FEM) that can be used for EEG and / or MEG source analysis. BESA MRI also allows co-registration of EEG / MEG data ...
BESA STATISTICS
BESA Statistics 2.0 BESA Statistics 2.0 greatly enhances the capabilities of the previous version with two new analysis workflows for Single-factor Analysis of Variance (ANOVA) or Analys...
BESA EPILEPSY
CE certified software for efficient EEG review and automatic detection of spikes and seizures The successor of BESA Epilepsy 1.0 provides the following new features Run an automatic sei...
BESA SIMULATOR
Create your own evoked and induced data BESA Simulator is the perfect tool for simulating evoked and induced brain activity. This free software developed by Patrick Berg allows you to pla...
EEGFOCUS
All-in-one software for fast review and advanced EEG analysis EEGFocus combines digital EEG review with advanced analysis features such as 3D whole head mapping, brain source montages and i...
ERD ERS
Event-Related Spectral Perturbation (ERD/ERS) The ERD_ERS value is in the range from [100 %, +100%] and describes the spectral change of activity at sampling time t relative to the activi...
Coherence
Coherence: correlation in frequency domain In BESA Research, the coherence dialog box is part of the ERP module. Use 'ERP/Coherence' in the main window to open the dialog box. It defines ...
Beamforming
Beamforming 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 ima...
Complex Demodulation
Complex Demodulation Time-frequency transforms are obtained in a very fast implementation based on complex demodulation. Apart from source channels, intracranial channels, and scalp chan...
Source coherence
Source coherence From the single trials, time-frequency displays are generated by averaging spectral density amplitude or power over trials. Source coherence is calculated by averagin...
Covariance (Noise Regularization)
Covariance (Noise Regularization) Two methods to estimate the channel noise correlation matrix CN are provided by BESA Research: Use baseline or Use 15% lowest values. In each case, the a...
CSD and CSD Map (Current Source Density or EEG voltage)
CSD and CSD Map (Current Source Density or EEG voltage) The surface Laplacian operator (second spatial derivative of the voltage distribution in tissue) calculates the volume current flow ...
DC Detrend
DC Detrend (default in BESA) BESA Research uses settings provided in the initialization file BESA.ini whenever BESA Research is started or a new file is opened for the first time. The for...
FFT (Fast Fourier Transform)
FFT (Fast Fourier Transform) The Fast Fourier Transformation (FFT) can be applied to a marked region, the data displayed on the screen, over a larger time range in the data between two ma...
FFT Inverse (n/a BESA)
FFT Inverse (n/a BESA) Individual FEM model BESA Research provides head models that are based either on multi-shell spherical head models, standardized realistic head models using finite...
Grand Average
Grand Average The Event-Related Potentials (ERP) module provides many features that assist you with the analysis of event-related and evoked potentials and fields. These features, which a...
ICA analysis
ICA ICA analysis allows decomposing EEG/MEG data into independent components. The method behind ICA analysis is the extended ICA algorithm (Lee TW et al. Independent component analysis us...
Inverse ICA
Inverse ICA The option Define as Artifact Topography opens the �Select Topographies� tab of the Artifact Correction Dialog (analogous to pressing Artifact / Select). In this tab, the ...
LORETA - for source analysis
LORETA - for source analysis LORETA ("Low Resolution Electromagnetic Tomography") is a distributed inverse method of the family of weighted minimum norm methods. LORETA was suggested by R...
Lateralized Readiness Potential
LRP (Lateralized Readiness Potential) The Contingent Negative Variation (CNV) and the Lateralized Readiness Potential (LRP) can be used as indicators for premotor and motor preparation dur...
BESA interface to MATLAB / EEGLAB
MATLAB, BESA inbuilt interface to MATLAB / EEGLAB BESA Research has menu items "Send to MATLAB..." at various locations that allow to send data as structures to Matlab. After sending the ...
MR Correction - for detecting and correcting MR scanner artifacts during combined EEG-fMRI measurements
MR Correction - for detecting and correcting MR scanner artifacts during combined EEG-fMRI measurements When combining EEG and fMRI data: You will simply open the EEG data file in BESA Rese...
Ocular Correction (Subspace projection-SSP, regression algorithm)
Ocular Correction (Subspace projection-SSP, regression algorithm) This approach has been commonly applied in the literature. SSP does not contrast artifacts and brain activity. Rather, the ...
Ocular Correction ICA (based on ICA)
Ocular Correction ICA (based on ICA) ICA analysis allows decomposing EEG/MEG data into independent components. ICA decomposition is performed on the current screen and can be started from...
PCA (Principal Component Analysis)
PCA (Principal Component Analysis) This method estimates the brain activity from the data currently displayed on the screen. The data is scanned in specified time intervals. Those segment...
Phase diagram
Phase diagram The phase diagram option is used to analyze phase differences between coherent channels. This can give an insight into a possible coupling of brain regions which may be nece...
Segmentation
Segmentation It is possible to create new trigger events from any of the recorded channels. This is achieved by defining parameters that characterize the features of the event. After the ...
t-Tests (paired and unpaired)
t-Tests (paired and unpaired) BESA Statistics provides optimized, user-guided workflows for cross-subject analysis of EEG / MEG data. The statistical method used is parameter-free permuta...
BESA Connectivity
Besa Connectivity 1.0BESA Connectivity 1.0 is a software developed for neuroscience professionals, whose objective is the analysis of the cerebral connectivity from data of Electroencephalog...
