How Electroencephalogram Reference Influences the Movement Readiness Potential?

Yuxia Hu; Lipeng Zhang; Mingming Chen; Xiaoyuan Li; Li Shi

doi:10.3389/fnins.2017.00683

Frontiers in Neuroscience (Dec 2017)

How Electroencephalogram Reference Influences the Movement Readiness Potential?

Yuxia Hu,
Lipeng Zhang,
Mingming Chen,
Xiaoyuan Li,
Li Shi

Affiliations

Yuxia Hu: Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, Department of Automation, School of Electric Engineering, Zhengzhou University, Zhengzhou, China
Lipeng Zhang: Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, Department of Automation, School of Electric Engineering, Zhengzhou University, Zhengzhou, China
Mingming Chen: Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, Department of Automation, School of Electric Engineering, Zhengzhou University, Zhengzhou, China
Xiaoyuan Li: Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, Department of Automation, School of Electric Engineering, Zhengzhou University, Zhengzhou, China
Li Shi: Department of Automation, Tsinghua University, Beijing, China

DOI: https://doi.org/10.3389/fnins.2017.00683
Journal volume & issue: Vol. 11

Abstract

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Readiness potential (RP) based on electroencephalograms (EEG) has been studied extensively in recent years, but no studies have investigated the influence of the reference electrode on RP. In order to investigate the reference effect, 10 subjects were recruited and the original vertex reference (Cz) was used to record the raw EEG signal when the subjects performed a motor preparation task. The EEG was then transformed to the common average reference (CAR) and reference electrode standardization technique (REST) reference, and we analyzed the RP waveform and voltage topographies and calculated the classification accuracy of idle and RP EEG segments. Our results showed that the RP waveform and voltage topographies were greatly influenced by the reference, but the classification accuracy was less affected if proper channels were selected as features. Since the Cz channel is near the primary motor cortex, where the source of RP is located, using the REST and CAR references is recommended to get accurate RP waveforms and voltage topographies.

Published in Frontiers in Neuroscience

ISSN: 1662-4548 (Print); 1662-453X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: http://www.frontiersin.org/neuroscience

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