Dynamic large-scale network synchronization from perception to action

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http://hdl.handle.net/10138/303785

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Hirvonen , J S , Monto , S P , Wang , S H , Palva , J M & Palva , S O 2018 , ' Dynamic large-scale network synchronization from perception to action ' , Network neuroscience , vol. 2 , no. 4 , pp. 442-463 . https://doi.org/10.1162/netn_a_00039

Title: Dynamic large-scale network synchronization from perception to action
Author: Hirvonen, Jonni Santeri; Monto, Simo Petteri; Wang, Sheng Hua; Palva, Jaakko Matias; Palva, Satu Orvokki
Contributor: University of Helsinki, Neuroscience Center
University of Helsinki, Neuroscience Center
University of Helsinki, Neuroscience Center
University of Helsinki, Neuroscience Center
University of Helsinki, Neuroscience Center
Date: 2018
Language: eng
Number of pages: 22
Belongs to series: Network neuroscience
ISSN: 2472-1751
URI: http://hdl.handle.net/10138/303785
Abstract: 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.
Subject: 3112 Neurosciences
MEG
Synchronization
Somatosensory
Communication
Perception
Action
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