BESA provides state-of-the-art scientific analysis tools covering the complete range of neurophysiological applications. We strive to bring you the latest methods for advanced EEG and MEG analysis in a user – friendly and optimized implementation. BESA is the most widely used software for source analysis and dipole localization in EEG and MEG research.
BESA offers four different products which cover many usage scenarios in neurophysiological data analysis in EEG and MEG.
Choose the best signal processing for your EEG and MEG data
BESA Research is a highly versatile and user-friendly Windows program with optimized tools and scripts to pre process raw or averaged data for source analysis and connectivity analysis. All important aspects of source analysis and source imaging are displayed in one window for immediate selection of a wide range of tools. The same holds true for the source coherence / time-frequency module, and other analysis windows. BESA Research provides fast and easy hypothesis testing, a variety of source analysis algorithms including cortical imaging and volume imaging methods, integration with MRI and fMRI, age-appropriate template head models (FEM) as well as the possibility to import individual head models (BEM and / or FEM) generated by BESA MRI.
BESA MRI is software to generate individual head models (BEM / FEM) that can be used for EEG and / or MEG source analysis. BESA MRI also allows co-registration of EEG / MEG data with individual MRI data, and visualization of dipole solutions generated in BESA Research in the individual anatomy. BESA MRI is the first software that offers an easy, intuitive interface with an integrated workflow guiding the user step-by-step
Dedicated workflows allow you to perform t-test, single-factor ANOVA, and correlation analyses of your data using the parameter-free cluster permutation statistics which so elegantly solve the multiple-test problem. Several new input data types were added to this pipeline, in order to ensure that time-frequency analyses and connectivity analyses are now fully supported.
Highlights:
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 place your sources in the brain, assign them a time-course and save your data with an electrode layout of your choice. You can simulate average data or raw data choosing your own real dataset for overlaying the modelled activity. This allows simulating induced data, as well as evoked data. Use the simulated data to examine your source or coherence analysis techniques.
BESA Connectivity provides optimized, user-guided workflows for time-frequency and connectivity analysis of EEG/MEG data. Multiple well-established methods are provided. They were optimized for stream-lined performance that yields results for multiple combinations of input data types, time-frequency methods, and connectivity measures.
BESA Connectivity provides optimized, user-guided workflows for time-frequency and connectivity analysis of EEG/MEG data. Multiple well-established methods are provided. They were optimized for stream-lined performance that yields results for multiple combinations of input data types, time-frequency methods, and connectivity measures.
BESA | We are shaping the future of neurology
Customer views on BESA: Stefan Rampp
Webinar New Features in BESA Research 7.1
New Features In BESA Research 7.1
Webinar: What is Bayesian M/EEG Source Analysis, and why should I care
Webinar: Analyzing joint fMRI-EEG recordings
Using M/EEG beamformers and virtual sensors
Webinar: Explore M/EEG brain connectivity in source space
Webinar New features in BESA Research 7.0
fMRI EEG Pulse Artifact Correction In BESA Research
fMRI EEG Gradient Artifact Correction In BESA Research
Bayesian Source Imaging with SESAME
BESA Connectivity – Using The BESA Connectivity Features
BESA Research – Using Brain Atlases in BESA Research
BESA Connectivity – The Connectivity Workflow
Webinar AN(C)OVA and Correlation: BESA Statistics 2.0
Webinar New features in BESA Research 6 1
BESA WS Seoul 2016 part 5 – Time-Frequency and Coherence
BESA WS Seoul 2016 part 4 – Source Montages and Artifact Correction
BESA WS Seoul 2016 part 3 – Distributed Sources
BESA WS Seoul 2016 part 2 – Coregistration and FEM
BESA WS Seoul 2016 part 1 – Discrete Source Analysis
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