Background Coherence analysis examines the functional connectivity of
cortical regions, which are important for cognitive functioning and may
be related to the benefits of meditation. Meditation analysis to date
has analyzed coherence by comparing EEG wave power using Fast Fourier
Transform (FFT), and then calculating the coherence spectra with
disregard to wave phase. This method can show spurious coherence between
regions that are unlikely to be synchronized. Our methods used a phase
synchronization measure of coherence, mean phase coherence (MPC) - novel
to meditation. Methods Attentional performance before and after
20-minute eye-closed focused attention meditation was measured in 25
healthy, meditation naïve subjects. MPC was calculated in wave specific
bins and for every 30 seconds during meditation. To determine if these
EEG hallmarks showed relation with performance changes, MPC and power
was then correlated to PVT results. Results MPC showed high alpha
coherence between front-temporal and frontal-occipital electrodes.
Meditation also underwent temporal changes with high prefrontal gamma
coherence correlated with better performance at meditation onset, with
frontal alpha and beta power later in the meditation. Alpha coherence
throughout the meditation was correlated with better attentional
performance changes. Conclusions Our data suggest that MPC may have
identified regions of high coherence during meditation that are
correlated with improved PVT performance. The results also suggest that
meditation is a dynamic neural process that requires more careful
analysis into temporal changes. Finally, results suggest that
“control” conditions need to be more systematically studied, as many
conditions may show similar neural dynamics to meditation