In order to further compare the synchronization of EEG signals of each trial relative to auditory events, we used phase-locking factor (PLF) and the inter-trial phase coherence
(ITPC) index, for the investigation of the synchrony of EEG rhythmic activities across trials.
In general, for the study of PS, it can be said that there are two main approaches: phase locking and phase coherence
. The former refers to the event-related phase locking across trials regarding an event's onset over one electrode, that is, the Phase Locking Factor (PLF).
The synchrony-derived entropy has been applied to quantify the complexity that governs the distribution of the average phase coherence
(APC) values obtained from long-length resting-state EEG.
The mean phase coherence
was calculated to measure the phase synchronization between each pair of ECoG signals.
GC, phase coherence
[alpha], phase coherence
[beta]1, and coherence [beta]1 features at 29, 14, 16, and 18 sites or pairs of sites, respectively, were significantly different for the differentiation between AD and bvFTD.
This architecture provides agile switching and phase coherence
as well as frequency, amplitude, and phase-switching times of 170 ns with phase repeatability at all frequencies.
where the first term [(4[pi]Dt).sup.-1] in the integrant is the return probability ([P.sub.0](t)) for diffusion constant D, the second term represents the short time cut-off ([[tau].sub.e]), below which no elastic scattering occurs, and the third term is the phase coherence
time ([[tau].sub.[phi]]) cut-off, beyond which phase coherence
The metrics proposed in [7-11] try to evaluate the phase coherence
. It is shown that exactly localized features such as step edges result in strong local phase coherence
across scales and spaces in complex wavelet domain, but blur leads to loss of such coherence.
In the reference of experiments of atomic phase coherence
, the Rabi frequency [[OMEGA]'.sub.E] = 2[pi] x 90 x [10.sup.6] [s.sup.-1] corresponds to the laser intensity 250 W/[cm.sup.2] (at the beam waist).
Called phase coherence
, this synchronous activity suggests a direct neural basis for interpersonal coordination.
On the other hand, the matrices for phase coherence
or the APST are based on the Hilbert transformation, on the assumption that time series are oscillatory.