Music interventions and obstructive sleep apnea: a brain connectivity analysis.

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
J Rajeswari, S Navaneethan, P Siva Satya Sreedhar, M Jagannath
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引用次数: 0

Abstract

Background: The blockage in the upper airway that occurs, while sleeping is represented as obstructive sleep apnea (OSA). This seem to be a major issue which cause breathing difficulties also increases the risk of severe complications, such as heart attacks and strokes. Therefore, in this proposed study the impact of OSA using brain connectivity analysis under various conditions such as Neelambari, Kapi, and no music has been investigated. The electroencephalogram (EEG) recordings of twelve subjects were acquired in two different conditions, such as listening to music 1 and 2 (Neelambari and Kapi) and the absence of music. The raw EEG signals were then pre-processed using both bandpass and notch filters. Meanwhile, the EEG sub-bands were obtained using the wavelet packet decomposition (WPD) method. These sub-bands, including delta, theta, alpha, and beta, were used for brain connectivity analysis. This approach provides the visualization of frequency-specific regional brain connectivity patterns by applying Pearson Correlation to the absolute values of the detail coefficients from WPD using a graph theory metric, node strength.

Results: Increased connectivity in the right hemisphere of the brain was observed among the nodes in the frontal and temporal regions (F8, FC6, and T8) when participants listened to Neelambari music (Music 1). In the beta band, the correlation values for Neelambari music ranged from a minimum of 0.943 to a maximum of 0.998. In the delta band, positive correlation values ranged from 0.945 (minimum) to 0.999 (maximum). The alpha and theta bands exhibited moderate correlations, ranging from 0.746 (minimum) to 0.996 (maximum). Compared to Kapi music, Neelambari music showed stronger neural synchronization, evidenced by consistently higher correlation values across all frequency bands. This increased connectivity suggests that Neelambari music may profoundly impact brain dynamics, potentially enhancing cognitive or physiological responses.

Conclusions: In conclusion, it has been analyzed that OSA patients have positive brain connectivity while listening to music 1 (Neelambari).

音乐干预和阻塞性睡眠呼吸暂停:大脑连通性分析。
背景:睡眠时发生的上呼吸道阻塞被称为阻塞性睡眠呼吸暂停(OSA)。这似乎是导致呼吸困难的一个主要问题,也增加了严重并发症的风险,如心脏病发作和中风。因此,在本研究中,我们使用脑连通性分析来研究在Neelambari, Kapi和无音乐等不同条件下对OSA的影响。12名受试者在听音乐1和2 (Neelambari和Kapi)和不听音乐两种不同条件下的脑电图(EEG)记录。然后使用带通滤波器和陷波滤波器对原始EEG信号进行预处理。同时,利用小波包分解(WPD)方法获得脑电子带。这些子带,包括delta、theta、alpha和beta,被用于大脑连接分析。这种方法通过使用图论度量(节点强度)对WPD的细节系数的绝对值应用Pearson Correlation,提供了特定频率区域大脑连接模式的可视化。结果:当参与者听Neelambari音乐(音乐1)时,右脑额叶和颞叶(F8, FC6和T8)节点之间的连性增加。在beta波段,Neelambari音乐的相关值最小为0.943,最大为0.998。在δ波段,正相关值在0.945(最小)~ 0.999(最大)之间。α和θ波段呈中等相关性,最小值为0.746 ~最大值为0.996。与Kapi音乐相比,Neelambari音乐表现出更强的神经同步,在所有频带中都有更高的相关值。这种增强的连通性表明,Neelambari音乐可能会深刻地影响大脑动力学,潜在地增强认知或生理反应。结论:综上所述,有研究分析OSA患者在听音乐时大脑连通性呈阳性1 (Neelambari)。
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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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