Soft drink effects on sensorimotor rhythm brain computer interface performance and resting-state spectral power.

Area of Science:

• Neuroscience
• Biomedical Engineering

Background:

• Brain-computer interface (BCI) systems enable direct control of external devices via brain signals.
• Understanding factors influencing BCI performance, such as dietary intake, is crucial for practical applications.

Purpose of the Study:

• To investigate the impact of common soft drink ingredients (sugar, caffeine) on resting-state electroencephalography (EEG) signals.
• To evaluate the effect of these ingredients on BCI control performance.

Main Methods:

• Eight healthy volunteers underwent three BCI cursor control and resting-state EEG sessions.
• Participants consumed unlabeled soft drinks containing sugar, caffeine, or neither (control) during each session.
• EEG spectral power was analyzed, and BCI performance metrics were recorded.

Main Results:

• Caffeine consumption led to a significant decrease in alpha and beta frequency power in resting-state EEG compared to the control.
• Despite the observed changes in EEG power within the control signal frequency range, average BCI performance remained comparable across conditions.
• Sugar and control conditions showed no significant differences in EEG power or BCI performance.

Conclusions:

• Caffeine alters specific brain wave frequencies (alpha, beta) but does not impair BCI control performance in this context.
• This research provides valuable insights into the neurophysiological effects of caffeine, the most widely consumed stimulant, on BCI technology.
• Further research can explore optimal BCI design considering dietary influences.