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采用静息态功能磁共振成像显示患有重度阻塞性睡眠呼吸暂停综合征的男性病患的异常自发低频大脑活动

 

Authors Li HJ, Dai XJ, Gong HH, Nie X, Zhang W, Peng DC

Published Date January 2015 Volume 2015:11 Pages 207—214

DOI http://dx.doi.org/10.2147/NDT.S73730

Received 4 September 2014, Accepted 2 December 2014, Published 23 January 2015

Background: The majority of previous neuroimaging studies have demonstrated both structural and functional abnormalities in obstructive sleep apnea (OSA). However, few studies have focused on the regional intensity of spontaneous fluctuations during the resting state and the relationship between the abnormal properties and the behavioral performances. In the present study, we employed the amplitude of low-frequency fluctuation (ALFF) method to explore the local features of spontaneous brain activity in OSA patients (OSAs).
Methods: Twenty-five untreated male severe OSAs and 25 age-matched and years-of-education-matched male good sleepers (GSs) were included in this study. The ALFF method was used to assess the local features of spontaneous brain activity. The mean signal values of the altered ALFF areas were analyzed with receiver operating characteristic curve. Partial correlation analysis was used to explore the relationship between the observed mean ALFF values of the different areas and the behavioral performances.
Results: Compared with GSs, OSAs had significantly higher scores for body mass index, apnea–hypopnea index, arterial oxygen saturation <90%, arousal index, and Epworth Sleepiness Scale (ESS) score; furthermore, OSAs had significantly lower scores for rapid eye movement sleep and in the Montreal Cognitive Assessment (MoCA). Compared with GSs, OSAs showed significant lower-ALFF areas in the cluster of the right precuneus and bilateral posterior cingulate gyrus, as well as a higher-ALFF area in the left inferior frontal gyrus. The area under the curve values of the lower- and higher-ALFF areas were 0.90 and 0.93, respectively. Further diagnostic analysis exhibited that the sensibility and specificity of the two clusters were 80% and 92%, respectively. The mean signal value of the lower-ALFF cluster displayed significant positive correlations with lowest oxygen saturation (=0.447, =0.025) and MoCA score (=0.405, =0.045).
Conclusion: OSAs may involve in a dysfunction in the default mode network and an adaptive compensatory response in the frontal lobe, which reflect the underlying pathophysiology of cognitive impairment.
Keywords: obstructive sleep apnea, amplitude of low-frequency fluctuation, functional magnetic resonance imaging, resting state, spontaneous activity, blood oxygen-level-dependent