Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.05.04.075804v1?rss=1 Authors: Allaman, L., Mottaz, A., Kleinschmidt, A., Guggisberg, A. G. Abstract: Neurobehavioral studies in humans have long concentrated on changes in local activity levels during repetitive executions of a task. Spontaneous neural coupling within extended networks has latterly been found to also influence performance. Here, we intend to uncover the underlying mechanisms and the interaction with task-induced activations. We demonstrate that high performers in visual perception and motor sequence tasks present an absence of classical task-induced activations, but, instead, strong spontaneous network coupling. Activations were thus a compensation mechanism needed only in subjects with lower spontaneous network interactions. This challenges classical models of neural processing and calls for new strategies in attempts to train and enhance performance. Copy rights belong to original authors. Visit the link for more info