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清醒放松状态、困倦期和快速眼动睡眠期人类自发阿尔法活动的脑空间微状态。

Brain spatial microstates of human spontaneous alpha activity in relaxed wakefulness, drowsiness period, and REM sleep.

作者信息

Cantero J L, Atienza M, Salas R M, Gómez C M

机构信息

Laboratorio de Sueño, Area de Psicofisiología Cognitiva, Sevilla, España.

出版信息

Brain Topogr. 1999 Summer;11(4):257-63. doi: 10.1023/a:1022213302688.

Abstract

Spontaneous alpha activity clearly present in relaxed wakefulness with closed eyes, drowsiness period at sleep onset, and REM sleep was studied with spatial segmentation methods in order to determine if the brain activation state would be modulating the alpha spatial microstates composition and duration. These methods of spatial segmentation show some advantages: i) they extract topographic descriptors independent of the chosen reference (reference-free methods), and ii) they achieve spatial data reduction that are more data-driven than dipole source analysis. The results obtained with this study revealed that alpha activity presented a different spatio-temporal pattern of brain electric fields in each arousal state used in this study. These differences were reflected in a) the mean duration of alpha microstates (longer in relaxed wakefulness than in drowsy period and REM sleep), b) the number of brain microstates contained in one second (drowsiness showed more different microstates than did relaxed wakefulness and REM state), and c) the number of different classes (more abundant in drowsiness than in the rest of brain states). If we assume that longer segments of stable brain activity imply a lesser amount of different information to process (as reflected by a higher stability of the brain generator), whereas shorter segments imply a higher number of brain microstates caused by more different steps of information processing, it is possible that the alpha activity appearing in the sleep onset period could be indexing the hypnagogic imagery self-generated by the sleeping brain, and a phasic event in the case of REM sleep. Probably, REM-alpha bursts are associated with a brain microstate change (such as sleep spindles), as demonstrated by its phasic intrusion in a desynchronized background of brain activity. On the other hand, alpha rhythm could be the "baseline" of brain activity when the sensory inputs are minimum and the state is relaxed wakefulness.

摘要

采用空间分割方法研究了在闭眼放松清醒状态、睡眠开始时的困倦期以及快速眼动睡眠中清晰呈现的自发α活动,以确定大脑激活状态是否会调节α空间微状态的组成和持续时间。这些空间分割方法具有一些优点:i)它们提取与所选参考无关的地形描述符(无参考方法),ii)它们实现的空间数据约简比偶极子源分析更具数据驱动性。本研究获得的结果表明,α活动在本研究使用的每种唤醒状态下呈现出不同的脑电场时空模式。这些差异体现在:a)α微状态的平均持续时间(放松清醒状态下比困倦期和快速眼动睡眠中更长),b)一秒钟内包含的脑微状态数量(困倦期比放松清醒状态和快速眼动状态显示出更多不同的微状态),以及c)不同类别的数量(困倦期比其他脑状态更丰富)。如果我们假设稳定脑活动的较长片段意味着要处理的不同信息较少(如脑发生器的更高稳定性所反映),而较短片段意味着由更多不同信息处理步骤导致的脑微状态数量更多,那么有可能在睡眠开始期出现的α活动可能在为睡眠中大脑自我产生的催眠意象进行索引,而在快速眼动睡眠的情况下是一个相位事件。可能,快速眼动-α爆发与脑微状态变化(如睡眠纺锤波)相关,这由其在脑活动去同步化背景中的相位侵入所证明。另一方面,当感觉输入最小且状态为放松清醒时,α节律可能是脑活动的“基线”。

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