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BESA Research Upgrade

Upgrade for BESA Research 5.x, 6.00, 6.10 or from 7.0 (no matter of age) to the latest version 7.10. BESA Research 7.10 comes with a myriad of new features, offering a completely new look of source imaging and latest OS compatibility. Check the latest features in the full description below.
Manufacturer: BESA
SKU: NS-7896
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US$ 6,196.50
US$ 4,957.20

BESA Research Upgrade is eligible for BESA Research versions 5.x, 6.00, 6.10 or from 7.0, to the latest version 7.10. Your existing license dongle will be used for upgrading your current BESA research version to 7.10 (if the condition is acceptable and not defective)

BESA Research 7.10 comes with new features including:

  • Boundary element model (BEM) integration: Boundary element head models for individual subjects computed in BESA MRI version 3.0 or higher are automatically loaded in the Source Analysis module, for EEG and/or MEG. They can be selected from the model selection dropdown. Finite element models (FEMs) and BEMs for a subject can be loaded at the same time, allowing toggling between FEM and BEM model type and compare results.
  • Combined MEG-EEG source modelling: Combining MEG and EEG for source imaging is now possible. Discrete source fitting as well as all distributed source imaging methods can use the combined model. Simply use the EEG / MEG / MEEG toggle button to switch between the modalities. In case of MEG data with combined magnetometers and gradiometers, you can also toggle whether one or both MEG channel types are combined with the EEG.
  • MRI display in multi-slice view: The subject’s MRI with overlay of source images, dipole solutions, atlases, can now be shown in multi-slice view. A highly interactive control set allows to adjust settings on the fly for optimum viewing. Navigation through the MRI was also made easier.
  • Use of noise covariance data from individual trials: The full noise covariance matrix from individual trials can now be used in computation of minimum norm estimates.
  • The Bayesian source imaging method SESAME was improved to enhance robustness, as well as speed of computation and convergence. For this purpose, hyper-priors were introduced (cf. https://arxiv.org/abs/2006.04141) and parallel computing was optimized for this method.
  • Confidence limit calculation and display: For dipole solutions and oriented regional sources, confidence limits are now calculated, displayed, and stored.
  • Calculation of beamformer virtual sensor montages based on atlas regions is now supported.
  • Two new brain atlases were added: Yeo7 and Yeo17.
  • Montreal Neurological Institute (MNI) coordinates can now be used in the Source Analysis window.
  • The baseline interval definition now features an automatic alert if it interferes with signal of interest.
  • Ready-made color schemes for publication purposes are now available.
  • Atlas-based source montages: Pre-computed atlas-based source montages are now available from the menu entry Montage/Source/Atlas montages as well as under the Src button in the control ribbon.
  • Parallel computing is used for speed-up of many time-consuming tasks.
  • Smoother and faster plotting of waveforms eases review of high-density M/EEG data.
  • New data readers for XDF and Neuroscan CURRY 8 formats are available.

 

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