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Sleep EEG Characteristics in Young and Elderly Patients with Obstructive Sleep Apnea Syndrome
Psychiatry Investigation ; : 217-221, 2016.
Article in En | WPRIM | ID: wpr-44784
Responsible library: WPRO
ABSTRACT
OBJECTIVE: In the present study, it was hypothesized that the sleep electroencephalogram (EEG) characteristics of young (55 yrs) OSAS patients would differ. METHODS: We analyzed 76 sleep EEG recordings from OSAS patients (young group: n=40, mean age: 24.3±4.9 yrs; elderly group: n=36, mean age: 59.1±4.9 yrs), which were obtained during nocturnal polysomnography. The recordings were assessed via spectral analysis in the delta (0.5–4.5 Hz), theta (4.5–8 Hz), alpha (8–12 Hz), beta (12–32 Hz), slow sigma (11–13 Hz), and fast sigma (13–17 Hz) frequency bands. RESULTS: Apnea Hypopnea Index (AHI) and sleep efficiency (%) did not differ significantly between the two groups (19.8±14.4 vs. 25.9±16.0, p=0.085; 84.4±12.6 vs. 80.9±11.0, p=0.198, respectively). After adjusting for gender, the slow/fast sigma ratio was not significantly correlated with AHI in the elderly group (r=-0.047, p=0.790) but AHI was inversely correlated with the slow/fast sigma ratio in the young group (r=-0.423, p=0.007). A multiple linear regression analysis revealed that a higher AHI was related with a lower slow/fast sigma ratio in the young group (β=-0.392, p=0.028) but not the elderly. CONCLUSION: In the present study, sleep EEG activity differed between young and elderly OSAS patients. The slow/fast sigma ratio was associated with OSAS severity only in young patients, suggesting that young OSAS patients may have a distinctive brain plasticity compared with elderly patients.
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Full text: 1 Index: WPRIM Main subject: Apnea / Plastics / Brain / Linear Models / Polysomnography / Sleep Apnea, Obstructive / Electroencephalography Limits: Aged / Humans Language: En Journal: Psychiatry Investigation Year: 2016 Type: Article
Full text: 1 Index: WPRIM Main subject: Apnea / Plastics / Brain / Linear Models / Polysomnography / Sleep Apnea, Obstructive / Electroencephalography Limits: Aged / Humans Language: En Journal: Psychiatry Investigation Year: 2016 Type: Article