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由于高强度学习导致的神经疲劳可以通过小睡来逆转,但通过安静醒来则不行。

Neural fatigue due to intensive learning is reversed by a nap but not by quiet waking.

机构信息

CUNY School of Medicine, Department of Physiology, Pharmacology & Neuroscience, New York, New York.

DIBRIS, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi, University of Genova, Genova, Italy.

出版信息

Sleep. 2021 Jan 21;44(1). doi: 10.1093/sleep/zsaa143.

Abstract

Do brain circuits become fatigued due to intensive neural activity or plasticity? Is sleep necessary for recovery? Well-rested subjects trained extensively in a visuo-motor rotation learning task (ROT) or a visuo-motor task without rotation learning (MOT), followed by sleep or quiet wake. High-density electroencephalography showed that ROT training led to broad increases in EEG power over a frontal cluster of electrodes, with peaks in the theta (mean ± SE: 24% ± 6%, p = 0.0013) and beta ranges (10% ± 3%, p = 0.01). These traces persisted in the spontaneous EEG (sEEG) between sessions (theta: 42% ± 8%, p = 0.0001; beta: 35% ± 7%, p = 0.002) and were accompanied by increased errors in a motor test with kinematic characteristics and neural substrates similar to ROT (81.8% ± 0.8% vs. 68.2% ± 2.3%; two-tailed paired t-test: p = 0.00001; Cohen's d = 1.58), as well as by score increases of subjective task-specific fatigue (4.00 ± 0.39 vs. 5.36 ± 0.39; p = 0.0007; Cohen's d = 0.60). Intensive practice with MOT did not affect theta sEEG or the motor test. A nap, but not quiet wake, induced a local sEEG decrease of theta power by 33% (SE: 8%, p = 0.02), renormalized test performance (70.9% ± 2.9% vs 79.1% ± 2.7%, p = 0.018, Cohen's d = 0.85), and improved learning ability in ROT (adaptation rate: 71.2 ± 1.2 vs. 73.4 ± 0.9, p = 0.024; Cohen's d = 0.60). Thus, sleep is necessary to restore plasticity-induced fatigue and performance.

摘要

大脑回路是由于高强度的神经活动还是可塑性而变得疲劳?睡眠对于恢复是否必要?经过广泛的视动旋转学习任务(ROT)或无旋转学习的视动任务(MOT)训练,休息良好的受试者随后进行睡眠或安静清醒。高密度脑电图显示,ROT 训练导致额部电极簇的 EEG 功率广泛增加,在 theta (平均 ± SE:24% ± 6%,p = 0.0013)和β范围(10% ± 3%,p = 0.01)有峰值。这些痕迹在会话之间的自发 EEG(sEEG)中持续存在(theta:42% ± 8%,p = 0.0001;beta:35% ± 7%,p = 0.002),并且伴随着运动测试中错误的增加,该测试具有类似于 ROT 的运动特征和神经基础(81.8% ± 0.8%比 68.2% ± 2.3%;双侧配对 t 检验:p = 0.00001;Cohen's d = 1.58),以及主观任务特异性疲劳评分的增加(4.00 ± 0.39 比 5.36 ± 0.39;p = 0.0007;Cohen's d = 0.60)。MOT 的密集训练不会影响 theta sEEG 或运动测试。小睡,但不是安静清醒,会导致 theta 功率的局部 sEEG 降低 33%(SE:8%,p = 0.02),使测试性能正常化(70.9% ± 2.9%比 79.1% ± 2.7%,p = 0.018,Cohen's d = 0.85),并提高 ROT 中的学习能力(适应率:71.2 ± 1.2 比 73.4 ± 0.9,p = 0.024;Cohen's d = 0.60)。因此,睡眠对于恢复由可塑性引起的疲劳和性能是必要的。

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