EEG-Based Analysis of Breakfast's Impact on Cognitive Performance Using Earth Mover's Divergence.

Area of Science:

• Neuroscience and Cognitive Science
• Biomedical Engineering

Background:

• Cognitive functions like focus and attention are vital for academic achievement.
• Lifestyle factors, including breakfast consumption, impact cognitive performance.
• Existing research often lacks objective, quantitative measures for cognitive assessment.

Purpose of the Study:

• To introduce a novel, objective framework, Optimal Representative Selection via Earth Mover's Divergence (ORS-EMD), for assessing breakfast's impact on cognitive performance.
• To quantify the effects of breakfast consumption on cognitive functions using electroencephalogram (EEG) signals.

Main Methods:

• Developed the ORS-EMD framework utilizing Earth Mover's Divergence (EMD) to analyze EEG data.
• Computed dissimilarities between EEG segments and identified optimal representative segments.
• Classified EEG segments as 'breakfast-consumed' or 'breakfast-skipped' using divergence thresholding.

Main Results:

• Breakfast consumption led to significantly faster task completion times (6.1 ±0.5 min vs. 8.3 ±0.7 min, p < 0.001).
• Distinct neural activity patterns were observed between the breakfast and no-breakfast groups.
• The ORS-EMD framework achieved 92.5% accuracy, surpassing traditional time-domain (85.3%) and frequency-domain (88.7%) methods.

Conclusions:

• Breakfast consumption demonstrably enhances cognitive performance and neural activity.
• The ORS-EMD framework offers a quantitative, objective method for evaluating lifestyle impacts on cognition.
• EEG-based analysis holds significant potential for real-world educational and healthcare applications.