BrainVision Analyzer is software for analysing EEG, ERP and other neurophysiological data. In teaching, it can help students understand how raw brain signal data are inspected, prepared, analysed and interpreted. Because the analysis workflow can be followed visually, BrainVision Analyzer is especially useful for EEG or ERP courses, lab training, research methods teaching, workshops and thesis supervision where students need to understand how inspection, preprocessing and analysis steps shape the final research conclusions.
- Functions
- Data analysis
- Access
- Standalone
- Difficulty of use
- Needs guidance
Examples of use in your education
Use BrainVision Analyzer when you want students to understand the overall pathway from raw EEG or ERP data to processed output.
You can apply this tool in your teaching in several concrete ways:
Workflow modelling - Demonstrate an example analysis pathway step by step, so students see how raw data, inspection, processing and output are connected.
History tracking - Use the History Tree to show the order of analysis steps, make the analytical pathway visible in class, or discuss whether the workflow matches a thesis or lab research question.
Workflow comparison - Compare two example workflows for the same research question and discuss how the chosen workflow affects the final output.
Tip 1
Start with a small example or demo dataset, for example from the course team, lab training materials or available software tutorials, so students can understand the sequence of steps before working with full research data.
Tip 2
Ask students to complete a short step-purpose table during the activity, listing each processing step, its purpose and its expected effect on the data.
Use BrainVision Analyzer when you want students to learn how data quality, artifacts and preprocessing choices affect EEG or ERP analysis.
You can apply this tool in your teaching in several concrete ways:
Artifact inspection - Show examples of common EEG artifacts and ask students to identify what they see before applying correction or rejection steps.
Preprocessing choices - Demonstrate filtering, segmentation or artifact handling as methodological decisions, so students understand how preprocessing shapes the dataset.
Before-and-after inspection - Compare data before and after one preprocessing step, so students can see what changed and discuss whether the change is justified.
Quality judgement - Use problematic examples to discuss when data should be kept, corrected, rejected or interpreted with caution.
Tip 1
Teach artifact handling as a judgement process rather than a fixed recipe, because the appropriate decision depends on the research question, data quality and analysis goal.
Tip 2
Let students inspect the data visually before showing the chosen preprocessing decision, so they practise recognising signal problems instead of only following instructions.
Use BrainVision Analyzer when you want students to connect processed neurophysiological data with interpretation, reporting and research conclusions.
You can apply this tool in your teaching in several concrete ways:
Visual interpretation - Use plots, waveforms or processed output to teach students how to describe patterns in the data before moving to conclusions.
Condition comparison - Compare ERP waveforms or processed signals between experimental conditions within the same analysis, so students connect differences in the output to the study design.
Conclusion checking - Ask students to identify what can and cannot be concluded from a processed example, so they distinguish observation and interpretation.
Reporting practice - Give students an exported plot or screenshot and ask them to write a short methods note and result description, then compare examples of clear and unclear reporting.
Tip 1
Provide a short reporting template with separate prompts for method, observed pattern, interpretation and limitation, so students do not jump from a plot directly to an unsupported conclusion.
Tip 2
Use the same example dataset across workflow, preprocessing and interpretation activities, so students can trace how earlier analytical choices influence the final result.
How-to videos
EEG artifact types and handling strategies in BrainVision Analyzer 2
Introduction to Analyzer 2 & EEG analysis concepts
Getting started
Support
In case of educational questions, please contact your learning innovator or web team from your faculty.
In case of technical difficulty, please consult the official Brain Products manuals or support resources first. Because BrainVision Analyzer is used for specialised EEG and ERP analysis, it is recommended to involve a local lab specialist, course coordinator or experienced researcher when using it in teaching.
