SLEEP 2011 Abstract Supplement

B. Clinical Sleep Science I. Sleep Disorders – Breathing
0440
MILD OBSTRUCTIVE SLEEP APNEA: A QUANTITATIVE
EEG ANALYSIS
Djonlagic I 1,2 , Saboisky J 1 , Carusona A 1 , Simoni M 1 , Wamsley EJ 2 ,
Stickgold R 2 , Malhotra A 1
1
Medicine/Sleep Medicine, Brigham and Women’s Hospital, Boston,
MA, USA, 2 Center for Sleep and Cognition, Dept of Psychiatry, Beth
Israel Deaconess Medical Center, Boston, MA, USA
Introduction: Obstructive sleep apnea (OSA) results in sleep fragmentation,
which can lead to changes in the EEG power spectrum. On the
other hand, spectral analysis can also be affected by age leading to a
decline in slow wave activity (SWA) and sleep deprivation, which is
known to enhance SWA. The aim of our study was to study EEG spectral
power in young subjects with mild obstructive sleep apnea.
Methods: Polysomnography recordings from 20 subjects, 10 healthy
control subjects and 10 apnea patients, were studied. EEG channels included
F1-A2, C3-A2, O1-A2, F2-A1, C4-A1, O2-A1 and A2-A1. After
manual artifact removal (including EEG arousals) relative spectral
power was examined in the following EEG bands: delta, theta alpha and
sigma (fast and slow). Fourier transform (FFT) analysis was conducted
with Brain Analyzer 2.
Results: OSA patients and Controls showed no significant difference
in age (31.9±1.7 [OSA] versus 29.0±1.7 [Controls], p=0.48) and BMI
(29.7±1.9 [OSA] versus 27.9±1.53 [Controls], p=0.24). Analysis of
polysomnograms demonstrated no significant difference in total sleep
time, sleep efficiency or sleep stage distribution between groups. Significant
differences were only observed in AHI (17.1±2.6/h vs. 3.7±0.4/h, p