Sleep EEG characteristics associated with total sleep time misperception in young adults: an exploratory study.

IF 4.7 2区 心理学 Q1 BEHAVIORAL SCIENCES
Biyun Xu, Qinghao Cai, Runru Mai, Hailong Liang, Jiayu Huang, Zhimin Yang
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引用次数: 5

Abstract

Background: Power spectral analysis (PSA) is one of the most commonly-used EEG markers of cortical hyperarousal, and can help to understand subjective-objective sleep discrepancy (SOD). Age is associated with decreased sleep EEG activity; however, the PSA of young adults is currently limited. Thus, this study aimed to examine the correlation of spectral EEG power with total sleep time (TST) misperception in young patients.

Methods: Forty-seven young adults were recruited and underwent a polysomnography recording in a sleep laboratory. Clinical records and self-report questionnaires of all patients were collected, and were used to categorize patients into a good sleeper (GS) group (n = 10), insomnia with a low mismatch group (IWLM, n = 19) or participant with a high mismatch group (IWHM, n = 18). PSA was applied to the first 6 h of sleep.

Results: IWHM patients exhibited a higher absolute power and relative beta/delta ratio in the frontal region compared to the GS group. No significant difference was observed between the IWLM and GS groups. No significant difference in the above parameters was observed between the IWHM and IWLM groups. Moreover, The SOD of TST was positively correlated with frontal absolute power and the relative beta/delta ratio (r = 0.363, P = 0.012; r = 0.363, P = 0.012), and absolute beta EEG spectral power (r = 0.313, P = 0.032) as well as the number of arousals.

Conclusions: Increased frontal beta/delta ratio EEG power was found in young patients with a high mismatch but not in those with a low mismatch, compared with good sleepers. This suggests that there exists increased cortical activity in IWHM patients. In addition, the frontal beta/delta ratio and the number of arousals was positively correlated with the SOD of TST.

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睡眠脑电图特征与年轻人总睡眠时间错误知觉相关:一项探索性研究。
背景:功率谱分析(Power spectral analysis, PSA)是最常用的皮质亢进EEG标记之一,有助于理解主客观睡眠差异(SOD)。年龄与睡眠脑电图活动减少有关;然而,年轻人的PSA目前是有限的。因此,本研究旨在探讨频谱脑电图功率与年轻患者总睡眠时间(TST)误解的相关性。方法:招募了47名年轻人,并在睡眠实验室进行了多导睡眠记录。收集所有患者的临床记录和自述问卷,将患者分为良好睡眠(GS)组(n = 10)、低错配失眠组(IWLM, n = 19)和高错配失眠组(IWHM, n = 18)。PSA应用于睡眠的前6小时。结果:与GS组相比,IWHM患者在额区表现出更高的绝对功率和相对β / δ比值。IWLM组与GS组间无显著差异。IWHM组与IWLM组以上参数均无显著差异。此外,TST的SOD与额叶绝对功率和相对β / δ比值呈正相关(r = 0.363, P = 0.012;r = 0.363, P = 0.012)、绝对β脑电图谱功率(r = 0.313, P = 0.032)以及觉醒次数。结论:与良好睡眠者相比,高失配的年轻患者的额叶β / δ比脑电图功率增加,而低失配的年轻患者则无此现象。这表明IWHM患者存在皮层活动增加。此外,脑额叶β / δ比值和觉醒次数与TST SOD呈正相关。
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来源期刊
Behavioral and Brain Functions
Behavioral and Brain Functions 医学-行为科学
CiteScore
5.90
自引率
0.00%
发文量
11
审稿时长
6-12 weeks
期刊介绍: A well-established journal in the field of behavioral and cognitive neuroscience, Behavioral and Brain Functions welcomes manuscripts which provide insight into the neurobiological mechanisms underlying behavior and brain function, or dysfunction. The journal gives priority to manuscripts that combine both neurobiology and behavior in a non-clinical manner.
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