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Using MEG to Understand the Progression of Light Sleep and the Emergence and Functional Roles of Spindles and K-Complexes

机译:使用MEG了解轻度睡眠的进展以及主轴和K复合体的出现和功能作用

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We used tomographic analysis of MEG signals to characterize regional spectral changes in the brain at sleep onset and during light sleep. We identified two key processes that may causally link to loss of consciousness during the quiet or “core” periods of NREM1. First, active inhibition in the frontal lobe leads to delta and theta spectral power increases. Second, activation suppression leads to sharp drop of spectral power in alpha and higher frequencies in posterior parietal cortex. During NREM2 core periods, the changes identified in NREM1 become more widespread, but focal increases also emerge in alpha and low sigma band power in frontal midline cortical structures, suggesting reemergence of some monitoring of internal and external environment. Just before spindles and K-complexes (KCs), the hallmarks of NREM2, we identified focal spectral power changes in pre-frontal cortex, mid cingulate, and areas involved in environmental and internal monitoring, i.e., the rostral and sub-genual anterior cingulate. During both spindles and KCs, alpha and low sigma bands increases. Spindles emerge after further active inhibition (increase in delta power) of the frontal areas responsible for environmental monitoring, while in posterior parietal cortex, power increases in low and high sigma bands. KCs are correlated with increase in alpha power in the monitoring areas. These specific regional changes suggest strong and varied vigilance changes for KCs, but vigilance suppression and sharpening of cognitive processing for spindles. This is consistent with processes designed to ensure accurate and uncorrupted memory consolidation. The changes during KCs suggest a sentinel role: evaluation of the salience of provoking events to decide whether to increase processing and possibly wake up, or to actively inhibit further processing of intruding influences. The regional spectral patterns of NREM1, NREM2, and their dynamic changes just before spindles and KCs reveal an edge effect facilitating the emergence of spindles and KCs and defining the precise loci where they might emerge. In the time domain, the spindles are seen in widespread areas of the cortex just as reported from analysis of intracranial data, consistent with the emerging consensus of a differential topography that depends on the kind of memory stored.
机译:我们使用MEG信号的层析成像分析来表征睡眠发作和轻度睡眠时大脑的区域光谱变化。我们确定了两个关键过程,这些过程可能与NREM1的安静或“核心”时期失去知觉有关。首先,对额叶的积极抑制导致δ和θ谱功率的增加。其次,激活抑制导致α谱功率急剧下降,而后顶叶皮质的频率更高。在NREM2核心时期,NREM1中识别出的变化变得更加普遍,但在额中线皮层结构中,α和低sigma带功率也出现了局灶性增加,这提示需要重新监测内部和外部环境。就在纺锤体和K络合物(KCs)(NREM2的标志)之前,我们确定了额前皮层,中扣带回以及环境和内部监测所涉及的区域(即喙和次通用前扣带)的聚焦光谱功率变化。在主轴和KC期间,α和低sigma带增加。在负责环境监测的额叶区域受到进一步的主动抑制(增量功率增加)后,出现了纺锤体,而在顶叶后皮质中,低和高西格玛谱带中的功率增加。 KC与监视区域中alpha功率的增加相关。这些特定的区域变化表明,KC的警戒性变化很大,但是警戒性受到抑制,纺锤体的认知过程更加尖锐。这与旨在确保准确且无损坏的内存整合的过程一致。 KC期间的变化暗示着哨兵的作用:评估引发事件的显着性,以决定是否增加处理并可能唤醒,或者积极抑制入侵影响的进一步处理。 NREM1,NREM2的区域光谱图及其动态变化正好在纺锤和KC之前显示出边缘效应,促进纺锤和KC的出现并定义了可能出现纺锤的确切位点。在时域中,正如在颅内数据分析中所报告的那样,在皮质的广泛区域都可以看到纺锤体,这与取决于存储的内存类型的差分地形学的新兴共识是一致的。

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