Spectral Analysis of Hidden EEG Arousal Activity in Periodic Leg Movements in Sleep without Microarousal.
- Author:
Jaegong CYN
;
Wanseok S SEO
;
J S OH
;
D U JEONG
- Publication Type:Original Article
- Keywords:
Periodic Limb movements during sleep;
EEG microarousal;
Spectral analysis
- MeSH:
Arousal*;
Electroencephalography*;
Fatigue;
Humans;
Leg*;
Male;
Polysomnography;
Sleep Wake Disorders
- From:Sleep Medicine and Psychophysiology
2003;10(2):100-107
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: Periodic leg movements in sleep (PLMS) might be subdivided based upon whether or not they are associated with visible EEG microarousals (MA). MA is considered to be responsible for nonrestorative sleep and daytime fatigue. The American Sleep Disorders Association's (ASDA) scoring rules for MA based on visual analysis of the EEG changes suggest that MA should last more than 3 seconds. However, it has been suggested that visual analysis may not detect some changes in EEG activity. This study is aimed at measuring changes in EEG spectra during PLMS without MA in order to better understand the arousing response of PLMS. METHODS: Ten drug-free patients (three men and seven women) diagnosed with PLMS by polysomnography were studied. Spectral analysis of the EEG was performed in each patient on 30 episodes of PLMS without MA, chosen randomly across the night in stage 2 non-REM sleep. We applied stricter criteria for MA compared to ASDA, by defining it as a return to alpha and theta frequency lasting at least 1 second. RESULTS: The mean PLMS index was 16.7 10.0. The mean PLMS duration was 1.3 0.7 seconds. Comparison of 4-second EEG activity both before and after the onset of PLMS without MA using independent t-test showed that the movements were associated with significant increase of relative activity in the delta band (p=0.000) and significant decrease of activity in the alpha (p=0.01) and sigma (p=0.000) bands. No significant decrease in the theta (p=0.05), beta (p=0.129), or gamma (p=0.062) bands was found. CONCLUSIONS: PLMS without MA was found to be associated with EEG change characterized by increase in the delta frequency band. This finding seems to be compatible with the hypothesis of an integrative hierarchy of arousal responses of Sforza's. Considering that the subjects had lower PLMS index and shorter PLMS duration than those of the previous study, it is suggested that an even less severe form of PLMS without MA could induce neurophysiologic change, which may potentially be of clinical significance.
