The aim of this study is to present the linear measures: the cross-correlation function, the coherence function, the wavelet cross-correlation and the wavelet coherence to assess synchronization between contractions in different topographic regions of the uterus.
Furthermore, it might be advantageous to assess synchronization of neural activity using methodologies which are neither restricted to specific frequencies of oscillatory activity, nor to spiking neurons nor to pairs of recording electrodes.
Here, we address synchronization phenomena by means of the S-estimator, which, initially proposed for an EEG application [33], was also successfully applied to assess synchronization phenomena within other contexts such as cardio-encephalic-pulmonary interactions in anesthesia [36] and athletics electrocardiography [37].
In order to assess synchronization within and between cortical sources of gamma-band activation time-locked to perceptual switching in binocular rivalry, we extracted epoched broadband time series using a source montage in which locations were assigned to coordinates of all activational peaks for statistically significant sources (Table 1; BESA 5.2; Megis Software).
Moreover, although pooling of embryos removes variation between individual embryos from expression measurements, correlations between gene expression of pools can be used to assess synchronization in the same group of embryos and identify outliers due to compromise of RNA integrity.
Different authors using a wavelet-based technique for assessing synchronization and coupling between peripheral skin temperature and blood-flow signals, found increased coherence higher than for uncorrelated white noise, in two frequency intervals, around 0.1 Hz and 0.007 Hz [ 18, 19].
We then assessed whether synchronization between neurons across brain regions changed with the behavioral state by constructing cross-correlograms of neural responses during lever presses and during epochs of the exploration phase in which rats were moving toward and making contact with the lever port.
As a control, we verified the downregulation of CAF-1 p60 in all quiescent cells (Polo et al, 2004) (Fig 1A) and assessed the synchronization efficiency by flow cytometry (Fig 1B).
The authors assessed phase synchronization and cross frequency coupling in recordings from eight patients with epilepsy, who performed an intentional picture encoding task followed by a recognition memory test.
Behavioural performance of internal timing stability was assessed with synchronization-continuation finger-tapping paradigms.
