Effect of short-term chanting on electroencephalographic microstates.
Prashant Tayade, Manorma Saini, Gaurav Saini, Suriya Prakash Muthukrishnan, Simran Kaur, Ratna Sharma, Abhisek Sahoo
The Pan African medical journal November 14, 2024 DOI: 10.11604/pamj.2024.49.76.44648 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Experimental within-subject EEG study Peer reviewed |
|---|---|
| Sample size | 23 |
| Population | Adult male subjects |
| Interventions | Verbal "OM" chanting (VOM) Listening to "OM" chanting (LOM) |
| Duration | 5 min per chanting condition |
| Measures | EEG microstates (k-means cluster analysis), Global Explained Variance (GEV) |
| Topics | Meditation |
| Keywords | Brain Humans Electroencephalography Cluster analysis Time factors Male Young adult Electroencephalographic microstates Listening om chanting Verbal om chanting |
| Key findings | Three EEG microstate scalp map topographies were identified using k-means cluster analysis for verbal "OM" chanting and listening to "OM" chanting. Statistical analysis of time frames, Global Explained Variance, time coverage, and mean duration found no significant effects or changes for the short-term chanting. |
Abstract
Introduction: chanting in meditation reduces stress and it is reported to have a relaxation effect during both verbal "OM" chanting (VOM) and listening to "OM" chanting (LOM). There is paucity of literature on EEG microstates information after VOM and LOM using qEEG compared to the resting condition.
Methods: therefore, to examine the effect of these actions on the brain using qEEG, it is required to compare the EEG microstates among the baseline, VOM, and LOM. In the present work, 23 adult male subjects were examined and given a paradigm designed using E-prime for both VOM and LOM chanting each of 5 min duration. A 128-channel geodesic sensor net was used to obtain the experimental data, which was later pre-processed, segmented, and analysed.
Results: the present work is the first to report the three scalp maps topographies, i.e. microstates obtained utilizing k-means cluster analysis for the response of the VOM and LOM. Also, the number of time frames, Global Explained Variance (GEV), time coverage, and mean duration parameters for the three maps were analysed statistically.
Conclusion: the study revealed three microstate topographies as markers and reported no significant effect/changes for the short-term chanting.