BESA Research Software

BESA Research 7.1 is the most streamlined and comprehensive, user-friendly software for source analysis and dipole localisation in human EEG and MEG research. BESA Research 7.1 is highly versatile, with optimised tools and scripts to preprocess raw or averaged data for source analysis and connectivity analysis.

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BESA Research Software

BESA Research Software

The world's most comprehensive signal processing toolbox for EEG/MEG source localisation

For over two decades, the BESA Research package has set the standard for state-of-the-art EEG and MEG data analysis. Combining an easy-to-use interface with innovative, tailored analysis methods and data review tools, BESA research provides a convenient and extremely smooth pathway for carrying out EEG/MEG data analysis.

BESA Data Analysis

BESA Research 7.1 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 2.1.

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 7.1 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 BESA MRI, BESA Statistics, or BESA Epilepsy.

BESA Functionality

BESA Research 7.0 supports a range of functions for your research, including:

Data Review & Data Processing:

  • Reading and writing of multiple formats;
  • A graphical montage editor (pictured above);
  • Source montages for:
    • Standard review, epilepsy review, ERP/ERF;
    • Resting state networks;
    • Brain atlas regions.
  • ICA/PCA;
  • Superior artefact removal tools, including EEG-fMRI;
  • ERP/ERF paradigms and averaging;
  • Graphical artefact rejection tool;
  • Co-registration with individual MRI/fMRI;
  • Grand averaging of subjects and conditions.

Time-Frequency Analysis

  • Time-frequency transformation of any montage data;
  • Connectivity analysis:
    • Wavelets and/or complex demodulation;
    • In-source space or sensor space;
    • Using state-of-the-art methods, including Granger Causality, Partial Directed Coherence;
    • Visualisation of data in clear 2D and 3D result plots.
  • Workflow-guided user interaction.

Source Analysis and Source Imaging

  • Dipole fitting/regional, single dipoles;
  • Volume-imaging: (s)LORETA, CLARA, LAURA, sSLOFO, user-defined;
  • SESAME: Bayesian source imaging;
  • Cortical imaging on individual or standard cortical surface:
    • Minimum Norm;
    • Cortical LORETA, Cortical CLARA;
  • Multiple or single-source beamforming in time-domain or time-frequency domain;
  • Individual source montages or virtual sensor montages, including pre-defined brain atlas regions;
  • Joint fitting of EEG and MEG data;
  • Realistic head models (BEM and/or FEM) in combination with BESA MRI for both EEG and MEG;
  • Co-registration with individual MRI or fMRI;
  • Confidence limit display for dipole fits;
  • Brain atlases;
  • Realistic children's and adults' FEM head models for various age groups based on real averaged MRI data.

BESA Source Analysis

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BESA Data ReviewUser montages can be defined easily in the BESA Research 7.1 graphical Montage Editor.


BESA Source AnalysisCombined volume imaging and dipole source analysis using a template head model.


Source montages and 3D whole-head mapping, using standardised realistic head models or individual head models generated by BESA MRI 2.0.


Optimised tools and scripts to preprocess raw or averaged data.

Operating system

Windows 10, 8.1, 7 (64 bit and touch versions not supported)


2GHz minimum


4GB Min (8GB+ recommended)

Graphics card

Open GL 2.0 and 16MB RAM or higher


CE Certified


Directly interfaced

  1. Reduced late mismatch negativity and auditory sustained potential to rule‐based patterns in schizophrenia. Sarah M. Haigh, Brian A. Coffman, Timothy K. Murphy, Christiana D. Butera, Justin R. Leiter‐McBeth, & Dean F. Salisbury. European Journal of Neuroscience. November 2018
  2. Multifocal epilepsy in children is associated with increased long-distance functional connectivity: An explorative EEG-fMRI study. Michael Siniatchkin, Jan Moehring, Bianca Kroeher, Andreas Galka, Giselavon Ondarza, Friederike Moeller, Stephan Wolff, Enzo Tagliazucchi, Elisabeth Steinmann, Rainer Boor, & Ulrich Stephani. European Journal of Paediatric Neurology. November 2018
  3. From eyes‐closed to eyes‐open: Role of cholinergic projections in EC‐to‐EO alpha reactivity revealed by combining EEG and MRI. Lu Wan, Haiqing Huang, Nadine Schwab, Jared Tanner, Abhijit Rajan, Ngoc B. Lam, Laszlo Zaborszky, Chiang‐shan R. Li, Catherine C. Price, & Mingzhou Ding. Human Brain Mapping. September 2018
  4. A high‐density EEG study of differentiation between two speeds and directions of simulated optic flow in adults and infants. Kenneth Vilhelmsen, Seth B. Agyei, F. R. (Ruud) van der Weel, & Audrey L. H. van der Meer. Psychophysiology. September 2018
  5. Beta oscillatory power modulation reflects the predictability of pitch change. Andrew Chang, Dan J.Bosnyak, & Laurel J.Trainor. Cortex. September 2018
  6. Neurophysiological changes in the visuomotor network after practicing a motor task. James E. Gehringer, David J. Arpin, Elizabeth Heinrichs-Graham, Tony W. Wilson, and Max J. Kurz. Journal of Neurophysiology. July 2018
  7. Encoding of frequency-modulation (FM) rates in human auditory cortex. Hidehiko Okamoto & Ryusuke Kakigi. Scientific Reports. 2016
  8. Individual language experience modulates rapid formation of cortical memory circuits for novel words. Lilli Kimppa, Teija Kujala & Yury Shtyrov. Scientific Reports. 2016
  9. Distinctive Representation of Mispredicted and Unpredicted Prediction Errors in Human Electroencephalography. Yi-Fang Hsu, Solene Le Bars, Jarmo A. Hämäläinen and Florian Waszak. The Journal of Neuroscience. October 2015
  10. Face processing in the brains of pre-school aged children measured with MEG. Wei He, Jon Brock, & Blake W.Johnson. NeuroImage. February 2015
  11. Distinct slow and fast cortical theta dynamics in episodic memory retrieval. Bernhard Pastötter & Karl-Heinz T.Bäuml. NeuroImage. July 2014
  12. Temporal Processing of Audiovisual Stimuli Is Enhanced in Musicians: Evidence from Magnetoencephalography (MEG). Yao Lu, Evangelos Paraskevopoulos, Sibylle C. Herholz, Anja Kuchenbuch, & Christo Pantev. PLOS ONE. March 2014

Compatible Products

This product can be used in combination with some of our other systems. Find out more by selecting one from the list below.

Associated Techniques

To find out more about the techniques that are applicable to this product, follow the links below.

Added Value

In addition to supplying and supporting a wide range of neuroscience products, Brainbox offers additional value in a number of areas that can benefit our customers, including:

Installation, Product Training, Technique Training, Bespoke Training

Lab Support
System Upgrades, Testing, Calibration, System Integration, Bespoke Solutions

Research Support
Study Design, Piloting, Technical Information, References

Grant Applications, Industrial Projects, Workshops

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