0606 Can qEEG Be Used For Evaluation Of Cognitive Decline In OSA Patients?

• Published in: Sleep (New York, N.Y.) Vol. 41; no. suppl_1; p. A225
• Main Authors: Singh, S, Thakkar, M, Bollu, P, Goyal, M, Sivaraman, M, Bhartee, H, Johnson, J, Smith, D, Sahota, P
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 27.04.2018
• Subjects: Electroencephalography; Fourier transforms; Gender
• ISSN: 0161-8105; 1550-9109
• DOI: 10.1093/sleep/zsy061.605

Abstract Introduction Obstructive sleep apnea (OSA) results in impaired cognitive functioning and daytime sleepiness. Clinicians often face difficulty in identifying patients are risk of neurobehavioural dysfunction due to wide inter-individual variability, disparity between symptoms and conventional metrics of disease severity such as Apnea Hypopnea Index (AHI). Quantitative electroencephalogram (qEEG) measures are determinants of awake neurobehavioural function in healthy subjects. The sinusoidal waveforms of the EEG are often defined by their frequency. The fast Fourier transform is used to perform spectral analysis of the signal, over a period of time (or space) to divide it into its frequency components. We used spectral analysis to predict cognitive decline in OSA patients and note gender difference. This study was designed to address these issues. Methods We have included 100 subjects (BMI = 18 to 65) in the study. Controls without OSA (AHI <5; N=25/gender) and OSA (AHI >10; N =25/gender) were arbitrarily chosen. We examined frontal cortex (F3 and F4 channels) during 5-minute epoch of quite wakefulness (eyes closed). EEG was acquired using high frequency filter 100 Hz; low frequency filter 0.3 Hz, Notch 60 Hz; sensitivity 7 muV/mm using Natus System. Spectral analysis was performed by Spike 2 software (CED Cambridge). Relative power was calculated for the following bands: Delta (1–4 Hz), Theta (5- 7 Hz), Alpha (8 - 15 Hz) and Beta (16 - 32 Hz). Two-Way ANOVA was used to examine the effect of gender and OSA on EEG spectra. Results This is an ongoing study. Preliminary analysis conducted 11 controls (Male = 4; Female =7) and OSA patients (Male 3; female 8) suggested that a reduction of power in alpha and beta frequencies in patients with OSA as compared to controls. Conclusion Reduction of power in higher (greater than alpha) frequencies is an indicator of cognitive decline. Our preliminary analysis suggest that OSA patients display a reduction in spectral power. Since patients with dementia have lower power in higher frequencies, we suggest further workup to address cognitive decline be performed for those with OSA. Support (If Any):