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本文引用的文献

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Aberrant waste disposal in neurodegeneration: why improved sleep could be the solution.神经退行性疾病中的异常废物处理:改善睡眠为何可能是解决方案。
Cereb Circ Cogn Behav. 2021 Aug 13;2:100025. doi: 10.1016/j.cccb.2021.100025. eCollection 2021.
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Frontal grey matter microstructure is associated with sleep slow waves characteristics in late midlife.额叶灰质微观结构与中年后期睡眠慢波特征有关。
Sleep. 2022 Nov 9;45(11). doi: 10.1093/sleep/zsac178.
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Slow-wave sleep affects synucleinopathy and regulates proteostatic processes in mouse models of Parkinson's disease.慢波睡眠影响帕金森病小鼠模型中的α-突触核蛋白病并调节蛋白质稳态过程。
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Ageing-related changes in nap neuroscillatory activity are mediated and moderated by grey matter volume.衰老相关的午睡神经振荡活动变化受灰质体积的介导和调节。
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Sleep-wake characteristics in a mouse model of severe traumatic brain injury: Relation to posttraumatic epilepsy.严重创伤性脑损伤小鼠模型的睡眠-觉醒特征:与创伤后癫痫的关系。
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Slow wave activity moderates the association between new learning and traumatic brain injury severity.慢波活动调节新学习与创伤性脑损伤严重程度之间的关系。
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The synapse in traumatic brain injury.创伤性脑损伤中的突触。
Brain. 2021 Feb 12;144(1):18-31. doi: 10.1093/brain/awaa321.
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Sleep spindles are resilient to extensive white matter deterioration.睡眠纺锤波对广泛的白质退化具有耐受性。
Brain Commun. 2020 Jun 13;2(2):fcaa071. doi: 10.1093/braincomms/fcaa071. eCollection 2020.
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Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep.人类睡眠中的耦合电生理、血流动力学和脑脊液振荡。
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脑灰质可能无法解释严重脑损伤后睡眠慢波特征。

Cerebral Gray Matter May Not Explain Sleep Slow-Wave Characteristics after Severe Brain Injury.

机构信息

Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de Montréal, Montreal, Quebec H4J 1C5, Canada.

Department of Psychology, Université de Montréal, Montreal, Quebec H2V 2S9, Canada.

出版信息

J Neurosci. 2024 Aug 7;44(32):e1306232024. doi: 10.1523/JNEUROSCI.1306-23.2024.

DOI:10.1523/JNEUROSCI.1306-23.2024
PMID:38844342
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11308330/
Abstract

Sleep slow waves are the hallmark of deeper non-rapid eye movement sleep. It is generally assumed that gray matter properties predict slow-wave density, morphology, and spectral power in healthy adults. Here, we tested the association between gray matter volume (GMV) and slow-wave characteristics in 27 patients with moderate-to-severe traumatic brain injury (TBI, 32.0 ± 12.2 years old, eight women) and compared that with 32 healthy controls (29.2 ± 11.5 years old, nine women). Participants underwent overnight polysomnography and cerebral MRI with a 3 Tesla scanner. A whole-brain voxel-wise analysis was performed to compare GMV between groups. Slow-wave density, morphology, and spectral power (0.4-6 Hz) were computed, and GMV was extracted from the thalamus, cingulate, insula, precuneus, and orbitofrontal cortex to test the relationship between slow waves and gray matter in regions implicated in the generation and/or propagation of slow waves. Compared with controls, TBI patients had significantly lower frontal and temporal GMV and exhibited a subtle decrease in slow-wave frequency. Moreover, higher GMV in the orbitofrontal cortex, insula, cingulate cortex, and precuneus was associated with higher slow-wave frequency and slope, but only in healthy controls. Higher orbitofrontal GMV was also associated with higher slow-wave density in healthy participants. While we observed the expected associations between GMV and slow-wave characteristics in healthy controls, no such associations were observed in the TBI group despite lower GMV. This finding challenges the presumed role of GMV in slow-wave generation and morphology.

摘要

睡眠慢波是较深的非快速眼动睡眠的标志。一般认为,灰质属性可以预测健康成年人的慢波密度、形态和频谱功率。在这里,我们测试了 27 名中度至重度创伤性脑损伤(TBI,32.0±12.2 岁,8 名女性)患者的灰质体积(GMV)与慢波特征之间的关联,并将其与 32 名健康对照者(29.2±11.5 岁,9 名女性)进行了比较。参与者接受了过夜多导睡眠图和 3T 扫描仪的大脑 MRI。进行了全脑体素分析以比较组间的 GMV。计算了慢波密度、形态和频谱功率(0.4-6 Hz),并从丘脑、扣带回、脑岛、楔前叶和眶额皮质中提取 GMV,以测试与慢波生成和/或传播相关的区域中的慢波和灰质之间的关系。与对照组相比,TBI 患者的额颞叶 GMV 明显降低,并表现出慢波频率的轻微降低。此外,眶额皮质、脑岛、扣带回和楔前叶的 GMV 较高与慢波频率和斜率较高相关,但仅在健康对照组中如此。健康参与者的眶额 GMV 较高也与慢波密度较高相关。虽然我们在健康对照组中观察到 GMV 与慢波特征之间的预期关联,但在 TBI 组中并未观察到这种关联,尽管 GMV 较低。这一发现挑战了 GMV 在慢波生成和形态中的假定作用。