Zhang Tingting, Pan Yu, Lian Jiakai, Pang Feng, Wen Jinfeng, Luo Yuxi
School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou 510275, People's Republic of China.
Sleep-Disordered Breathing Center, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510655, People's Republic of China.
Physiol Meas. 2021 Jul 28;42(7). doi: 10.1088/1361-6579/ac0e83.
. Sleep apnea hypopnea syndrome (SAHS) induces abnormalities in brain function. This study aims to find features that can characterize the impact of SAHS on the brain functional connectivity (FC) during sleep.. Seventy-eight participants (39 SAHS patients and 39 age-matched healthy controls) were recruited and underwent a whole night of polysomnography. The improved weighted phase lag index algorithm was utilized to evaluate FC in,,,, andbands of six EEG channels. The regional FC features were further constructed to characterize the asymmetries of FC between the left and right hemispheres, the imbalances of FC between the inter- and intra-hemispheres, and those between the anterior and posterior cortex, respectively. Then, support vector machines and feature evaluation were used to verify the discriminative ability for the abnormal FC in SAHS patients of the above-mentioned features.The study observed abnormal FC changes in SAHS patients during sleep in multiple frequency bands. Moreover, regional FC features performed better in SAHS screening, and important features were mainly distributed inandbands.. Our research exhibited the abnormal regional FC in SAHS patients during sleep, which provided new insights and established indicators to investigate the changes of brain function in patients.
睡眠呼吸暂停低通气综合征(SAHS)会引发脑功能异常。本研究旨在找出能够表征SAHS对睡眠期间脑功能连接(FC)影响的特征。招募了78名参与者(39名SAHS患者和39名年龄匹配的健康对照),并让他们接受了一整晚的多导睡眠监测。采用改进的加权相位滞后指数算法来评估六个脑电图通道的、和频段的FC。进一步构建区域FC特征,以分别表征左右半球之间FC的不对称性、半球间和半球内FC的不平衡性以及前后皮层之间的不平衡性。然后,使用支持向量机和特征评估来验证上述特征对SAHS患者异常FC的判别能力。该研究观察到SAHS患者在睡眠期间多个频段的FC出现异常变化。此外,区域FC特征在SAHS筛查中表现更佳,重要特征主要分布在和频段。我们的研究显示了SAHS患者睡眠期间区域FC异常,为研究患者脑功能变化提供了新的见解并确立了指标。