Mingming Zhao, Wenhong Chen, Xiaoying Mo, Yang Jianrong, Liu Howe Hao, Lingli Shi, Hongwu Ma, Zhirong Jiang
Department of Sleep Medicine, People's Hospital of Guangxi Zhuang Autonomous Region, Nan Ning, China.
Physical Therapy Department, Allen College, Waterloo, Lowa, USA.
J Sleep Res. 2024 Apr;33(2):e14033. doi: 10.1111/jsr.14033. Epub 2023 Sep 18.
To assess prefrontal brain network abnormality in adults with obstructive sleep apnea (OSA), resting-state functional near infrared spectroscopy (rs-fNIRS) was used to evaluate 52 subjects, including 27 with OSA and 25 healthy controls (HC). The study found that patients with OSA had a decreased connection edge number, particularly in the connection between the right medial frontal cortex (MFG-R) and other right-hemisphere regions. Graph-based analysis also revealed that patients with OSA had a lower global efficiency, local efficiency, and clustering coefficient than the HC group. Additionally, the study found a significant positive correlation between the Montreal Cognitive Assessment (MoCA) score and both the connection edge number and the graph-based indicators in patients with OSA. These preliminary results suggest that prefrontal rs-fNIRS could be a useful tool for objectively and quantitatively assessing cognitive function impairment in patients with OSA.
为评估阻塞性睡眠呼吸暂停（OSA）成人的前额叶脑网络异常，采用静息态功能近红外光谱（rs-fNIRS）对52名受试者进行评估，其中包括27名OSA患者和25名健康对照（HC）。研究发现，OSA患者的连接边数减少，尤其是右侧额内侧皮质（MFG-R）与右半球其他区域之间的连接。基于图的分析还显示，OSA患者的全局效率、局部效率和聚类系数均低于HC组。此外，研究发现OSA患者的蒙特利尔认知评估（MoCA）评分与连接边数和基于图的指标均呈显著正相关。这些初步结果表明，前额叶rs-fNIRS可能是客观、定量评估OSA患者认知功能损害的有用工具。
