The meditation has been categorized by focused attention and open monitoring (Lutz et al., 2008b). The various network of the brain during meditation processes transforming dysfunctional self-network to prosocial or transcendence network, have been proposed (Hasenkamp and Barsalou, 2012). The confluence of empirical neuroscience and computational network models is beginning to reveal the complex architecture of the human brain (Sporns, 2011 Thatcher, 2012). It is expected that increasing heart coherence and the accompanying EEG alpha activations, heart brain synchronicity, would help recover physiological synchrony following a period of homeostatic depletion. Heart coherence can be a cardiac marker for the meditative state and also may be a general marker for the meditative state since heart coherence is strongly correlated with EEG alpha activities. Relative alpha power increased with increasing heart coherence during both meditation and baseline periods. Average alpha lagged coherence also increased with increasing heart coherence during meditation, but weak opposite relationship was observed at baseline. Parietal peak alpha power increased with increasing heart coherence during meditation, but no such relationship was observed during baseline. A significant slowing of parietal peak alpha frequency was observed. Relative EEG alpha power and alpha lagged coherence also increased. Heart coherence, representing the degree of ordering in oscillation of heart rhythm intervals, increased significantly during meditation. Electrophysiological changes in response to meditation were explored in 12 healthy volunteers who completed 8 weeks of a basic training course in autogenic meditation. This study is aimed to determine significant physiological parameters of brain and heart under meditative state, both in each activities and their dynamic correlations.
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