Editorial: Brain-Behaviour Interfaces in Linguistic Communication

With the use of multivariate Bayesian mixed-effects models, GLMM-based approach, and partial effects, the paper demonstrates how overlapping ERP responses in one sample of participants predict behavioral SAT profiles of another sample. [...]this research confirms that the P300 and N400 reflect two independent but interacting processes and that the competition between these processes is reflected differently in the speed-accuracy trade-off behavior. [...]in an EEG study on a language in transition (Icelandic) Bornkessel-Schlesewsky et al. show that the neurophysiological responses already reflect projected language changes that are not yet apparent in the overt behavior of native speakers. [...]the present Research Topic will undoubtedly contribute to a better understanding of how neurocognitive systems provide humans with language and will help to further unveil the backstage of our intrinsic communication abilities.