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鼻腔气流促进默认模式网络活动。

Nasal airflow promotes default mode network activity.

作者信息

Salimi Morteza, Ayene Fahime, Parsazadegan Tannaz, Nazari Milad, Jamali Yousef, Raoufy Mohammad Reza

机构信息

Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

Department of Molecular Biology and Genetics, Aarhus University, Denmark; DANDRITE, The Danish Research Institute of Translational Neuroscience, Aarhus, Denmark; Center for Proteins in Memory - PROMEMO, Danish National Research Foundation, Aarhus, Denmark.

出版信息

Respir Physiol Neurobiol. 2023 Jan;307:103981. doi: 10.1016/j.resp.2022.103981. Epub 2022 Oct 27.

Abstract

BACKGROUND AND OBJECTIVES

Default mode network (DMN) is a principal network that is more active at the baseline functional state of consciousness and spontaneous brain activity. Nasal breathing beyond the oxygen supply, entrained brain oscillations in widespread brain regions. Consistent with the important role of nasal breathing on neural oscillation for brain function, here we aimed to evaluate respiration entrained DMN rhythms.

MATERIALS AND METHODS

Using electroencephalography (EEG), we assessed the power spectral density and connectivity in DMN during the resting state among a group of sixteen healthy during three successive sessions. In addition to DMN, synchrony of the signal over the widespread cortical regions including somatosensory areas was investigated. Signal acquisition sessions consist of three times including nasal breathing, oral breathing, and nasal air-puff state that odorless air was puffed using a nasal cannula via an electrical valve (open duration of 630 ms) with a frequency of 0.2 Hz while subjects spontaneously breath orally.

RESULTS

Our analyses demonstrated that nasal airflow, during both nasal breathing and nasal air-puff states, enhanced the power and connectivity of DMN regions specially at higher frequency bands, particularly gamma ranges. Enhancement in brain areas activity and connectivity including DMN and somatosensory due to the nasal airflow were not affected even in the condition that subjects were not attending to the nasal air-puff.

CONCLUSIONS

Nasal airflow promotes brain oscillations, particularly at the range of gamma that is very essential for higher brain functions.

摘要

背景与目的

默认模式网络(DMN)是一个主要网络,在意识的基线功能状态和自发脑活动时更为活跃。鼻呼吸除了提供氧气外,还能在广泛的脑区引发脑振荡。鉴于鼻呼吸对脑功能的神经振荡具有重要作用,我们旨在评估呼吸引发的DMN节律。

材料与方法

我们使用脑电图(EEG),在三个连续的时段内,对一组16名健康受试者在静息状态下的DMN中的功率谱密度和连通性进行了评估。除了DMN,还研究了包括体感区域在内的广泛皮质区域信号的同步性。信号采集时段包括三次,分别为鼻呼吸、口呼吸和鼻吹气状态,在受试者自主进行口呼吸时,通过电动阀使用鼻导管以0.2赫兹的频率吹入无味空气(打开持续时间为630毫秒)。

结果

我们的分析表明,在鼻呼吸和鼻吹气状态下,鼻气流增强了DMN区域的功率和连通性,特别是在较高频段,尤其是伽马频段。即使在受试者未注意到鼻吹气的情况下,鼻气流引起的包括DMN和体感区域在内的脑区活动和连通性增强也不受影响。

结论

鼻气流促进脑振荡,特别是在对高级脑功能非常重要的伽马频段范围内。

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