ISSN: 2940-3243


Abstract

Examining Neural Oscillatory Changes and Challenges During Breath-Based Intervention in Novice Meditators

by Mannu Brahmi1, Abira Sharma2, Dushyant Soni1 and Prof. Jyoti Kumar3


1National Resource Centre for Value Education in Engineering (NRCVEE), PhD Scholar, Indian Institute of Technology, 110016, New Delhi, India

2Department of Psychiatry, M.Sc. Clinical Psychology, Kasturba Medical College, 575001, Mangaluru, India

3Department of Design and National Resource Centre for Value Education in Engineering (NRCVEE), Professor, Indian Institute of Technology, 110016, New Delhi, India

Cite as: Brahmi et al. (2024). Examining Neural Oscillatory Changes and Challenges During Breath-Based Intervention in Novice Meditators. THE MIND Bulletin on Mind-Body Medicine Research, 3, 28-29. https://doi.org/10.61936/themind/2024121225

Export Citation: BibTeX, EndNote or RIS

Breath-based meditation techniques generally utilize rhythmic breathing to aid practitioners in achieving a profoundly meditative, calm mental state (Carter & Carter III, 2016). The study assessed EEG spectral dynamics among Indian novice adult students (N=89) over three stages of a breath awareness meditation paradigm: resting state (RS), breath counting (BC), and breath focus (BF). EEG data were collected using 64 electrodes; subsequently, preprocessing was executed using the ASR-ICA pipeline (Artefact Subspace Reconstruction -Independent Component Analysis) (Plechawska-Wójcik et al., 2023). Fourier analysis was applied, yielding spectral powers across the stages. A ‘3x3x5’ repeated measures factorial design was used to analyze neural oscillations across three brain regions (Midline-Default Mode Network [DMN], Prefrontal Cortex [PFC], Occipital Cortex [OCC]), three stages (RS, BC, BF), and five oscillation bands (delta, theta, alpha, beta, gamma). Significant differences were observed across oscillation bands (F(1.77)=77.69, p<0.001, ηG2=0.277). Alpha power was notably higher, given the resting-type nature of the stages, validating the effectiveness of the intervention. 

Main effect for ‘brain regions’ (F(1.36)=41.31, p<0.001, ηG2=0.013), and interaction effect for ‘regions x power bands’ (F(3.07)=28.43, p<0.001, ηG2=0.018) were also  significant. Post-hoc analyses for the former revealed that PFC depicted the peak brain activity, followed by DMN and OCC; the latter revealed greater delta and theta power in PFC, ensuingly DMN and OCC.

This indicates a heightened engagement of DMN and especially the PFC during the BC-BF stages owing to working memory and memory retrieval processes (Cavanagh et al., 2012; Huijbers et al., 2011). No significant differences were found across the ‘stages’ or in their respective interactions, indicating that novice meditators did not exhibit substantial modulation of brain activity across the distinct stages. The results underscore the role of memory processes during breath-focused meditation while highlighting challenges novice meditators encounter across different stages of the intervention


Keywords: Novice Mindfulness, Breath-Attention, Electroencephalography, Neural Oscillations, Resting State

References

 

Carter, K. S., & Carter III, R. (2016). Breath-based meditation: A mechanism to restore the physiological and cognitive reserves for optimal human performance. World journal of clinical cases, 4(4), 99. https://doi.org/10.12998/wjcc.v4.i4.99  

 

Cavanagh, J. F., Figueroa, C. M., Cohen, M. X., & Frank, M. J. (2012). Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. Cerebral cortex, 22(11), 2575-2586. https://doi.org/10.1093/cercor/bhr332

 

Huijbers, W., Pennartz, C. M., Cabeza, R., & Daselaar, S. M. (2011). The hippocampus is coupled with the default network during memory retrieval but not during memory encoding. PloS one, 6(4), e17463. https://doi.org/10.1371/journal.pone.0017463

 

Plechawska-Wójcik, M., Augustynowicz, P., Kaczorowska, M., Zabielska-Mendyk, E., & Zapała, D. (2023). The Influence Assessment of Artifact Subspace Reconstruction on the EEG Signal Characteristics. NATO Advanced Science Institutes Series E: Applied Sciences, 13(3), 1605. https://doi.org/10.3390/app13031605