Evidence map›Paper›PMID 40264147›Full record

ArticleBiomedical engineering online2025

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

J Rajeswari, S Navaneethan, P Siva Satya Sreedhar, M Jagannath

Abstract read
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Article in Biomedical engineering online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

J RajeswariDepartment of Biomedical Engineering, Agni College of Technology, Chennai, Tamil Nadu, India.
S NavaneethanDepartment of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, Tamil Nadu, India.
P Siva Satya SreedharDepartment of Information Technology, Seshadri Rao Gudlavalleru Engineering College, Krishna District, Andhra Pradesh, India.
M JagannathSchool of Electronics Engineering, Vellore Institute of Technology (VIT), Chennai, 600127, India. jagan.faith@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

resultsIncreased 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.

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

Indexed as

BrainMusicSleep Apnea, ObstructiveAdultElectroencephalographyFemaleHumansMaleMiddle AgedSignal Processing, Computer-AssistedBrain connectivity analysisElectroencephalogramKapi musicNeelambari musicObstructive sleep apneaWavelet packet decomposition

Identifiers

PMID40264147
PMCPMC12016325

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.