Literature DB >> 29423352

Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance.

Jianjun Meng1, John Mundahl1, Taylor Streitz1, Kaitlin Maile1, Nicholas Gulachek1, Jeffrey He2, Bin He3.   

Abstract

Motor imagery-based (MI based) brain-computer interface (BCI) using electroencephalography (EEG) allows users to directly control a computer or external device by modulating and decoding the brain waves. A variety of factors could potentially affect the performance of BCI such as the health status of subjects or the environment. In this study, we investigated the effects of soft drinks and regular coffee on EEG signals under resting state and on the performance of MI based BCI. Twenty-six healthy human subjects participated in three or four BCI sessions with a resting period in each session. During each session, the subjects drank an unlabeled soft drink with either sugar (Caffeine Free Coca-Cola), caffeine (Diet Coke), neither ingredient (Caffeine Free Diet Coke), or a regular coffee if there was a fourth session. The resting state spectral power in each condition was compared; the analysis showed that power in alpha and beta band after caffeine consumption were decreased substantially compared to control and sugar condition. Although the attenuation of powers in the frequency range used for the online BCI control signal was shown, group averaged BCI online performance after consuming caffeine was similar to those of other conditions. This work, for the first time, shows the effect of caffeine, sugar intake on the online BCI performance and resting state brain signal.

Entities:  

Keywords:  BCI; Brain-computer Interface; Caffeine; EEG; electroencephalography; soft drink

Year:  2017        PMID: 29423352      PMCID: PMC5798644          DOI: 10.1109/ACCESS.2017.2751069

Source DB:  PubMed          Journal:  IEEE Access        ISSN: 2169-3536            Impact factor:   3.367


  35 in total

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Review 9.  Caffeine, fatigue, and cognition.

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Journal:  Brain Cogn       Date:  2003-10       Impact factor: 2.310

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Review 2.  Sugar Beverages and Dietary Sodas Impact on Brain Health: A Mini Literature Review.

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Review 6.  Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition.

Authors:  Hui-Ling Chan; Po-Chih Kuo; Chia-Yi Cheng; Yong-Sheng Chen
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7.  Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCI.

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  7 in total

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