Fig 3. Low-frequency phase connectivity separates phrases and sentences (IMAGE)
Caption
Statistical analysis on the phase connectivity degree was conducted using a non-parametric cluster-based permutation test (1000 times) on a 3500-ms time window, which started at the audio onset and over the frequencies from 1 Hz to 8 Hz. The results indicated that the phase connectivity degree was higher for the sentences than the phrases (p < 0.01**, two-tailed). (a) The temporal evolution of the cluster. The activity was drawn by using the averaged connectivity degree of the phrases minus the connectivity degree of the sentences. The topographies were plotted in steps of 100 ms. (b) The time-frequency decomposition of the connectivity degree, which was averaged over all the sensors in the cluster. The left and the right panel show the connectivity degree of the phrase condition and the sentence condition, respectively. (c) The matrix representation of the phase connectivity differences between the phrases and the sentences. The figure was drawn by using the averaged connectivity matrix of the sentences minus the averaged connectivity matrix of the phrases. (d) All the sensors in this cluster were used as the seed sensors to plot the topographical representation of the phase connectivity. The upper panel and the lower panel show the phase connectivity of the phrases and the sentences, respectively. The underlying data can be found in https://doi.org/10.5281/zenodo.6595789.
Credit
Fan Bai, Antje S. Meyer and Andrea E. Martin
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