Inferring functional brain connectivity estimation of continuous and missing sample in meditation state-allied scalp EEG

摘要

The present study provides a new framework for comparing functional brain connectivity between a continuous and missing sample of meditative EEG signal. The EEG signal acquired during meditation (Kriya Yoga) and after the removal of motifs as EOG spikes, few significant parameters of functional connectivity have been found out. Three essential parameters, i.e. Clustering coefficient, Global efficiency, and Network density are calculated and compared, in both continuous and disrupted EEG data. The results are inferred from the meditation EEG data, and it has been validated in 23 meditators. The findings are presented as a case study on the neural connectivity basis of understanding meditative state in missing samples during the meditative state allied EEG.