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bioRxiv · 10.1101/2020.05.04.075804

Spontaneous network coupling enables efficient task performance without local task-induced activations

Allaman, L.·Mottaz, A.·Kleinschmidt, A.·Guggisberg, A. G.
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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.

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Allaman, L., Mottaz, A., Kleinschmidt, A., Guggisberg, A. G.. 2020-05-05. Spontaneous network coupling enables efficient task performance without local task-induced activations. https://doi.org/10.1101/2020.05.04.075804

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