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Comparing aperiodic activity in consumer-grade and research-grade EEG: Reliability and association with mathematical
Nienke E R van Bueren1, Anne H van Hoogmoed2, Sanne H G van der Ven2
1Behavioural Science Institute, Radboud Universiteit (Maria Montessorigebouw), Thomas van Aquinostraat 4, 6525 GD, Nijmegen, The Netherlands. Nienke.vanbueren@ru.nl.
Behavior Research Methods
|January 6, 2026
Summary
A wireless EEG headset is feasible for studying children's brain activity in schools. This consumer-grade device reliably measures brain activity, linking it to math performance and supporting personalized education.
Area of Science:
- Neuroscience
- Developmental Psychology
- Educational Technology
Background:
- Electroencephalography (EEG) offers insights into brain development but faces challenges in pediatric data collection.
- Traditional EEG systems are often cumbersome, limiting use in naturalistic settings like schools.
Purpose of the Study:
- To evaluate the feasibility and reliability of a wireless, consumer-grade EEG headset (EMOTIV EPOC X) for pediatric data acquisition.
- To compare EEG data, specifically aperiodic brain activity, collected with the EMOTIV headset against a research-grade system (BioSemi ActiveTwo).
- To assess the potential of consumer-grade EEG for school-based neurocognitive assessments and personalized education.
Main Methods:
- Recorded EEG data from 93 children (9-10 years old) using the EMOTIV headset in a classroom setting.
- Collected resting-state EEG and data during cognitive tasks (mathematical ability, working memory).
- Extracted and compared aperiodic brain activity between the EMOTIV and BioSemi systems, and tested its predictive power for math performance.
Main Results:
- The EMOTIV headset demonstrated feasibility and reliability for EEG data acquisition in children.
- Aperiodic brain activity measured by EMOTIV showed similar patterns to research-grade systems.
- Lower aperiodic activity correlated with higher mathematical ability, confirming its role as a neural marker for cognitive function.
Conclusions:
- Consumer-grade wireless EEG headsets are viable tools for studying cognitive development in real-world educational environments.
- This technology enables large-scale, school-based neurocognitive assessments.
- Findings support the development of personalized educational strategies based on individual neural profiles.
