Literature DB >> 14998247

Correlates of respiratory cycle-related EEG changes in children with sleep-disordered breathing.

Ronald D Chervin1, Joseph W Burns, Nikolas S Subotic, Christopher Roussi, Brian Thelen, Deborah L Ruzicka.   

Abstract

STUDY
OBJECTIVES: To explore newly-identified respiratory cycle-related electroencephalographic changes (RCREC), which may represent microarousals, as correlates of neurobehavioral outcomes in children with sleep-disordered breathing (SDB).
DESIGN: Retrospective.
SETTING: University sleep laboratory. PARTICIPANTS: Ten research subjects, aged 6 to 10 years, with and without SDB. INTERVENTION: Polysomnography, Multiple Sleep Latency Tests, and tests of auditory attention before and after clinically-indicated tonsillectomy (n = 9) or hernia repair (n = 1, control). MEASUREMENTS: For the first 3 hours of nocturnal sleep, a computer algorithm quantified the degree to which delta, theta, and alpha electroencephalographic power varied within non-apneic respiratory cycles. Correlations between the RCREC and standard objective measures of SDB, sleepiness, and attention were explored.
RESULTS: Five children had SDB (> 1 obstructive apnea per hour of sleep). Preoperative delta, theta, or alpha RCREC were statistically significant (P < .01) in all subjects except 1 without SDB and the 1 control. Theta RCREC correlated with rates of apneas and hypopneas (P = .01) and decreased after the apnea was treated. Postoperative changes in delta and theta RCREC predicted changes in Multiple Sleep Latency Test scores (rho = -0.84, P = .002; rho = -0.64, P = .05), whereas changes in rates of apneas and hypopneas did not (rho = -0.24, P = .50). Postoperative changes in attention tended to correlate with changes in delta RCREC (rho = -0.54, P = .11) more strongly than with changes in rates of apneic events (rho = -0.07, P = .84).
CONCLUSIONS: The RCREC may reflect brief but numerous microarousals that could help to explain neurobehavioral consequences of SDB.

Entities:  

Mesh:

Year:  2004        PMID: 14998247     DOI: 10.1093/sleep/27.1.116

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


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