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Sensorimotor Cortical Activity during Respiratory Arousals in Obstructive Sleep Apnea
Katharina Bahr-Hamm1, Nabin Koirala2, Marsha Hanif1
1Sleep Medicine Center, Department of Otolaryngology, University Medical Center of Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Severe obstructive sleep apnea (OSA) patients exhibit distinct brain activity during respiratory cortical arousals (RCAs) compared to moderate OSA. EEG analysis reveals differences in spectral entropy and approximate entropy, aiding in differentiating OSA severity.
Area of Science:
- Neuroscience
- Sleep Medicine
- Biomedical Engineering
Background:
- Respiratory cortical arousals (RCAs) are a key pathophysiological feature in obstructive sleep apnea (OSA).
- Understanding brain oscillatory differences during RCAs can help differentiate OSA severity.
Purpose of the Study:
- To investigate brain oscillatory features associated with respiratory arousals in moderate versus severe OSA patients.
- To identify EEG signal characteristics that can distinguish between moderate and severe OSA.
Main Methods:
- Retrospective analysis of raw electroencephalography (EEG) data from 102 OSA patients undergoing polysomnography (PSG).
- Analysis of EEG signals during, before, and after respiratory cortical arousals (RCAs) across sleep stages (N1, N2, REM).
- Computation of approximate entropy (ApEn), spectral entropy (SpEn), and area under the curve (AUC) of EEG signals during RCAs.
Main Results:
- Severe OSA patients showed significantly decreased EEG signal AUC during RCAs compared to moderate OSA patients (p < 0.0001).
- Spectral entropy (SpEn) was significantly decreased before and after RCAs in severe OSA patients relative to moderate OSA.
- Approximate entropy (ApEn) exhibited an inverse pattern, with the highest increase observed in sleep stage N1 for severe OSA.
Conclusions:
- The dynamic range of sensorimotor cortical activity during RCAs is sleep-stage specific and depends on respiratory event frequency.
- Brain oscillatory patterns during RCAs are uncoupled from autonomic activation.
- These EEG-based findings may aid in the differential diagnosis of severe OSA from moderate OSA.
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