Dynamic large-scale network synchronization from perception to action

Hirvonen, J., Monto, S., Wang, S. H., Palva, J. M. and Palva, S. (2018) Dynamic large-scale network synchronization from perception to action. Network Neuroscience, 2(4), pp. 442-463. (doi: 10.1162/netn_a_00039) (PMID:30320293) (PMCID:PMC6175692)

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Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3–7 Hz) and gamma (40–60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Palva, Professor Satu and Palva, Professor Matias
Authors: Hirvonen, J., Monto, S., Wang, S. H., Palva, J. M., and Palva, S.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Network Neuroscience
Publisher:MIT Press
ISSN (Online):2472-1751
Published Online:17 September 2018
Copyright Holders:Copyright © 2018 Massachusetts Institute of Technology
First Published:First published in Network Neuroscience 2(4):442-463
Publisher Policy:Reproduced under a Creative Commons License

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