• News

    This is the News section - please choose from one of the News articles below.

    • New BESA Research Version 7.0


      Latest version released

      BESA Research version 7.0 has now officially been released!
      Order the latest version of BESA Research now available online on our webshop!

      BESA Research Webshop 


      BESA Research 7.0 Features & Highlights

      Data review and pre-processing:

      • Simultaneous EEG-fMRI data review: Correction of fMRI artifacts is now possible directly in the BESA Research review window. One of three proven methods can be selected, and the effects on the correction matrix directly visualized.
        • Use this feature for further analysis: Read your fMRI data directly into BESA Research’s Source Analysis window, seed sources from fMRI and directly see activation patterns on a millisecond scale!
      • A new ICA method (SOBI) was introduced.
      • New readers for the following data formats are available:
        • EEG: Neuroscan Curry version 7
        • EEG: Neuralynx
        • MEG: RICOH

      Source analysis:

      • Semi-Analytic Monte-Carlo Estimation (SESAME) of sources is a new automated localization method using Bayesian statistics that finds the most likely solution and displays the likelihood distribution as a volume image.
      • Time-domain beamforming was introduced using either multiple or single sources, which can be applied as vector or scalar beamformer; state-of-the-art options for calculating spatial filters and weights are available.
        • Use this feature to reconstruct source waveforms, and seed virtual sensors from the results with few clicks. Virtual sensor montages can be applied to raw data in further analyses.
      • Brain atlases are available. Several state-of-the-art atlases can be selected, and displayed in user-defined overlay modes. It is possible to combine brain atlas images with other source imaging results.

      Brain connectivity / source coherence:

      • The new BESA Connectivity program can be started directly from the Coherence dialog, for enhanced methods in time-frequency decomposition and brain connectivity analysis (release expected in the next three weeks):
        • wavelets and / or complex demodulation
        • connectivity analysis in source space or sensor space
        • latest connectivity methods including Granger Causality, Partial Directed Coherence, Directed Transfer Function, and more
        • visualize data in clear 2D and 3D result plots and create publication images or videos
      • Single events or any data block can now be plotted in a time-frequency plot.


      Interested in getting the latest version of BESA Research? Contact us at for more information or visit our BESA webshop page and order your license online today!

      Buy BESA Research 7.0 Online 

  • Events

    This is the Event section - please choose from one of the Event articles below.

    • Data Acquisition in an fMRI Environment Webinar - Register Today!


      Wednesday April 11, at 7pm CEST

      On Wednesday, April 11, 2018 from 7:00 PM - 8:00 PM CEST Biopac will hold a webinar on "Data Acquisition in an fMRI Environment".

      Acquiring psychophysiological data in an MRI (magnetic resonance imagining) requires special precautions and consideration. Researchers need to ensure high quality physiological signals while avoiding potential dangers for the subjects. It is of high importance and value to understand the fundamentals of safety, set up and specialized equipment when recording data inside an MRI. Jennifer Robinson, Ph.D., Auburn University, expert in functional MRI & psychophysiology, will present recommendations for successful fMRI data collection.

      Topics covered will include:

      • The unique issues/problems with acquiring psychophysiological data in MR environments (including ultra-high field environments)
      • How to overcome those issues/problems
      • Identifying the correct devices and techniques for collecting great data
      • Video demonstrations of psychophysiological collection in the MR environment
      • Common mistakes/pitfalls in the collection of MR physiological data