Shared EEG&ABR correlates between non-REM parasomnia , fatigue and cognitive performance

This study aims to explore the correlation between brain electrical activity during non-rapid eye movement (non-REM) sleep and individual levels of fatigue and cognitive function in an unconstrained state. By recording electroencephalogram (EEG) signals under three distinct conditions, the focus is on analyzing the power spectral density variations of different brainwave frequencies. This allows for an assessment of the relationship between non-REM sleep quality, cognitive task performance, and self-reported fatigue. The results indicate a significant correlation between theta waves and increased fatigue and response time, while alpha waves are closely related to cognitive performance decline. Additionally, data analysis reveals changes in delta waves, beta waves, and gamma waves, with power spectral analysis showing how these frequency bands influence fatigue and cognitive function. Decreased non-REM sleep quality, increased fatigue, and cognitive impairment show significant overlap in brain activity. These findings offer new insights into the shared neural pathways between non-REM sleep, cognitive dysfunction, and fatigue. Additionally, auditory brainstem response (ABR) testing finds wave I/III/V latencies positively correlate with theta power and negatively with alpha power. The experimental group shows prolonged ABR latencies and reduced amplitudes during non-REM sleep, indicating impaired central auditory processing in fatigue, consistent with EEG findings.