Abdolalizadeh Amirhussein, Nabavi Samaneh
Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran.
Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Front Neurosci. 2022 Jun 2;16:850372. doi: 10.3389/fnins.2022.850372. eCollection 2022.
Sleep deprivation disrupts visual attention; however, the effects of chronic poor sleep quality on it are not understood. The dorsal attention network (DAN) and the ventral attention network (VAN) are involved in visual attention and search (VSA), with the DAN being important for the serial attention network and the VAN for parallel "pop-out" visual search.
The aim of the study was to evaluate correlation of sleep quality with visual attention and search, functional, and tracts' properties of the DAN and VAN.
We recruited 79 young male subjects and assessed their sleep quality using the Pittsburgh Sleep Quality Index (PSQI), dividing subjects into poor sleepers (PSs) and good sleepers (GSs) based on a cutoff of 5. Daytime sleepiness, sleep hygiene, depression, and anxiety levels were also evaluated. We assessed VSA using a computerized match-to-sample (MTS) task. We extracted functional networks and tracts of the VAN and DAN and statistically assessed group differences in task performance and imaging covarying age, depression, and anxiety. An interaction model with MTS × group was also done on imaging.
In total, 43.67% of subjects were PSs. Sleep quality significantly correlated with daytime sleepiness, sleep hygiene, depression, and anxiety (all < 0.001). No between-group differences were seen in task performance and functional or tract properties of the attention networks. Interaction analysis showed that the task performance was highly reliant on the DAN in PSs and on the VAN in GSs.
Our findings show no association between sleep quality and VSA in task performance and imaging correlates of the attention network. However, unlike the GS group, poor sleep quality is associated with VSA being more reliant on the DAN than on the VAN.
睡眠剥夺会干扰视觉注意力；然而，长期睡眠质量差对其影响尚不清楚。背侧注意力网络（DAN）和腹侧注意力网络（VAN）参与视觉注意力和搜索（VSA），DAN对串行注意力网络很重要，而VAN对并行“弹出式”视觉搜索很重要。
本研究旨在评估睡眠质量与视觉注意力和搜索、DAN和VAN的功能及纤维束特性之间的相关性。
我们招募了79名年轻男性受试者，使用匹兹堡睡眠质量指数（PSQI）评估他们的睡眠质量，根据5分的临界值将受试者分为睡眠质量差组（PSs）和睡眠质量好组（GSs）。还评估了日间嗜睡、睡眠卫生、抑郁和焦虑水平。我们使用计算机化的样本匹配（MTS）任务评估VSA。我们提取了VAN和DAN的功能网络和纤维束，并对任务表现以及与年龄、抑郁和焦虑相关的成像进行统计学评估。还对成像进行了MTS×组的交互模型分析。
共有43.67%的受试者为PSs。睡眠质量与日间嗜睡、睡眠卫生、抑郁和焦虑显著相关（均P<0.001）。注意力网络的任务表现、功能或纤维束特性在两组之间未见差异。交互分析表明，PSs组的任务表现高度依赖DAN，而GSs组则依赖VAN。
我们的研究结果表明，睡眠质量与任务表现中的VSA以及注意力网络的成像相关性之间没有关联。然而，与GS组不同 的是，睡眠质量差与VSA更依赖DAN而非VAN有关。
