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High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources
Published on: November 26, 2016
How do the reference montage and electrodes setup affect the measured scalp EEG potentials?
Shiang Hu1, Yongxiu Lai1, Pedro Antonio Valdés-Sosa1
1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, CHINA.
The Reference Electrode Standardization Technique (REST) offers the most accurate electroencephalogram (EEG) potentials, outperforming Average Reference (AR) and Linked Mastoids (LM). REST is recommended for precise neural activity measurements in cognitive neuroscience and clinical studies.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Human scalp electroencephalogram (EEG) is crucial for cognitive neuroscience and clinical research due to its non-invasiveness and high temporal resolution.
- The accuracy of EEG potentials in representing underlying neural activity remains a significant challenge.
- Understanding the impact of reference montages and electrode setups is vital for reliable EEG data.
Purpose of the Study:
- To systematically investigate how reference montages and electrode configurations influence the accuracy of human scalp EEG potentials.
- To quantify the representativeness of measured EEG potentials relative to underlying neural sources.
- To provide guidance on optimizing EEG recording techniques for improved data fidelity.
Main Methods:
- Generated standard EEG potentials using forward calculations with a single dipole source model across various channel numbers (10-335).
- Transformed standard potentials to different reference schemes: monopolar (earlobe, Fz, Pz, Oz, Cz) and re-references (Linked Mastoids, Average Reference, REST).
- Evaluated relative errors based on channel count, scalp regions, electrode layout, source characteristics, sensor noise, and head models.
Main Results:
- Monopolar references introduce significant distortions; re-referencing is generally necessary.
- Reference Electrode Standardization Technique (REST) demonstrated superior accuracy across all evaluated factors compared to Average Reference (AR) and Linked Mastoids (LM).
- REST showed robustness against head model variations, while AR was influenced by electrode coverage and dipole orientation.
Conclusions:
- REST is the recommended re-reference method for accurate EEG potential measurements.
- Average Reference (AR) may serve as an alternative in scenarios with high sensor noise.
- Findings offer practical recommendations for enhancing EEG data accuracy in neuroscience and clinical applications.
