BESA Research 7.0 sets new standards in several aspects of neurophysiological data analysis: it is the most streamlined and comprehensive, user-friendly software for source analysis and dipole localisation in human EEG and MEG research. The BESA Research 7.0 software is highly versatile, with optimised tools and scripts to preprocess raw or averaged data for source analysis and connectivity analysis.
BESA Research 7.0 allows fast and easy testing of hypotheses, multiple source analysis algorithms (including cortical imaging and volume imaging methods), integration with MRI and fMRI, and age-appropriate template head models (FEM) along with the option to import individual head models (FEM) generation by BESA MRI 2.0.
The updated software provides many new tools for reviewing and processing your EEG or MEG data. Raw data are directly read using readers implemented for many EEG and MEG file formats, and data processing steps include digital filtering, artefact detection and correction, computation of correlation, and spectral analysis.
BESA Research 7.0 covers the entire process of signal processing and analysis, from the acquired raw data to dynamic source images, allowing:
- Data review and processing
- Source montages and 3D whole-head mapping
- ERP analysis and averaging
- Source localisation and source imaging
- Cortical mapping and time-frequency analysis
- Source coherence and time-frequency analysis
- Source coherence for enhanced viewing of brain activity
Additional modules compatible with BESA Research are available.
Please contact us for information on other modules available, including:
BESA Research 7.0 is available in three different packages: BESA Basic, BESA Standard, and BESA Complete.
|Feature Overview||BESA Basic||BESA Standard||BESA Complete|
|Review, mapping, averaging ERP analysis||✓||✓||✓|
|Standardised source montages including resting state networks||✓||✓||✓|
|ICA (SOBI and Extended Infomax)||✓||✓||✓|
|fMRI artefact correction||✓||✓||✓|
|Source analysis and imaging||✓||✓|
|Cortical imaging on individual or averaged brain||✓||✓|
|Source estimation using Bayesian statistics (SESAME)||✓||✓|
|User-defined source montages||✓||✓|
|Individual FEM Models (created with BESA MRI)||✓||✓|
|Age-appropriate realistic FEM models from 0 - 24 yrs||✓||✓|
|Coherence, time frequency analysis||✓|
|Time-frequency analysis using wavelets or complex demodulation||✓|
|Source space and sensor space analysis||✓|
|Time domain beam forming||✓|
|Time-frequency domain beamforming||✓|
|Connectivity analysis using Granger Causality, Partial Directed Coherence, or Directed Transfer Function||✓|