ArticleIEEE access : practical innovations, open solutions2017
Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance.
Article in IEEE access : practical innovations, open solutions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Article
- Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought.Frontiers in neuroinformatics · 2025Article
- The Effect of Caffeine on Movement-Related Cortical Potential Morphology and Detection.Sensors (Basel, Switzerland) · 2024Article
- Neuroimaging Approach: Effects of Hot and Cold Germinated Wheat Beverages on Electroencephalographic (EEG) Activity of the Human Brain.Foods (Basel, Switzerland) · 2023Article
- Regulation of brain cognitive states through auditory, gustatory, and olfactory stimulation with wearable monitoring.Scientific reports · 2023Article
- Immediate effects of short-term meditation on sensorimotor rhythm-based brain-computer interface performance.Frontiers in human neuroscience · 2022Article
- A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding.Brain sciences · 2021Article
- Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice.Frontiers in neuroscience · 2021Article
- What Internal Variables Affect Sensorimotor Rhythm Brain-Computer Interface (SMR-BCI) Performance?HCA healthcare journal of medicine · 2021Review
- Effects of Caffeine on Event-Related Potentials and Neuropsychological Indices After Sleep Deprivation.Frontiers in behavioral neuroscience · 2020Article
- EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges.Sensors (Basel, Switzerland) · 2019Review
- Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCI.Frontiers in human neuroscience · 2019Article
- Review
- Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition.Frontiers in neuroinformatics · 2018Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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