Effects of exercise on the sleep microarchitecture in the aging brain: A study on a sedentary sample.

Effects of exercise on the sleep microarchitecture in the aging brain: A study on a sedentary sample.
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DOI:
10.3389/fnsys.2022.855107
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发表时间:
2022
影响因子:
3
通讯作者:
Garcia, Paul S.
Garcia, Paul S.
中科院分区:
医学3区
文献类型:
--
作者:
Cassim, Tuan Z.;McGregor, Keith M.;Nocera, Joe R.;Garcia, Violet V.;Sinon, Christopher G.;Kreuzer, Matthias;Garcia, Paul S.

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拥有健康的睡眠模式对一个人的整体健康起着至关重要的作用。老年人睡眠的特点是慢波睡眠减少,快速眼动睡眠增加。此外,定量脑电图(qEEG)研究表明,睡眠中脑电图总功率的衰减与年龄有关。然而,运动已被证明可以改善所有年龄组的睡眠。在这项研究中,我们使用Sleep Profiler™EEG睡眠监测仪来观察有氧运动干预后睡眠期间发生的EEG变化。本研究的对象是年龄在60-85岁之间的老年人(N = 18,只有5名受试者包含足够质量的前后数据进行分析)。有氧运动方案每周进行三次,持续12周,每次20分钟。每次训练的时间根据需要增加1-2分钟,每次训练的最长时间为45分钟。利用MATLAB对宏观结构(睡眠阶段)和微观结构(脑电图)结果进行分析。对于微结构,我们的结果显示有氧运动方案后深度睡眠时间更长。此外,对于微结构,我们的结果显示,在轻度睡眠(N1和L1)和深度睡眠(N2和N3)中,运动后的总脑电功率都有所增加。这些睡眠微结构的初步变化表明,非药物方法可能会减轻与年龄相关的脑电图变化,从而对神经认知健康产生潜在影响。
Having a healthy sleep pattern plays a vital role in one’s overall health. Sleep in the elderly is characterized by decreased slow-wave sleep and an increase of REM sleep. Furthermore, quantitative electroencephalographic (qEEG) studies have shown an age-related attenuation of total EEG power in sleep. However, exercise has been shown to improve sleep across all age groups. In this study, we used the Sleep Profiler™ EEG Sleep Monitor to observe EEG changes occurring during sleep following an aerobic exercise intervention. This study was done on older adults (N = 18, with only five subjects containing both pre- and post-data of sufficient quality for analysis) with an age range 60–85 years. The aerobics regimen was performed three times weekly for 12-weeks commencing with 20-min sessions. The time of each session progressed by 1–2 min/session as needed to a maximum time of 45 min per session. The macro-architecture (sleep stages) and microarchitecture (EEG) results were analyzed using MATLAB. For the microarchitecture, our results showed more deep sleep following the aerobic exercise regimen. Furthermore, for the microarchitecture, out results shows an increase in total EEG power post-exercise in both light (N1 and L1) and deep sleep (N2 and N3). These preliminary changes in sleep the microarchitecture suggest that non-pharmacologic methods might mitigate age-related EEG changes with potential implications for neurocognitive health.
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