Abstract
Event Abstract Back to Event Oscillatory synchronization in large-scale cortical networks predicts perception Joerg F. Hipp1*, Andreas K. Engel2 and Markus Siegel1 1 Centre for Integrative Neuroscience, Tuebingen, Germany 2 University Medical Center Hamburg-Eppendorf, Germany Normal brain function requires the dynamic interaction of functionally specialized but widely distributed cortical regions. Long-range synchronization of oscillatory signals has been suggested to mediate these interactions within large-scale cortical networks, but direct evidence is sparse. Here we show that oscillatory synchronization is organized in such large-scale networks. We implemented a new analysis approach that allows for imaging synchronized cortical networks and applied this technique to EEG recordings in humans. We identified two networks: beta-band synchronization (~20 Hz) in a fronto-parieto-occipital network and gamma-band synchronization (~80 Hz) in a centro-temporal network. Strong perceptual correlates support their functional relevance: the strength of synchronization within these networks predicted the subjects' percept of an ambiguous audio-visual stimulus as well as the integration of auditory and visual information. Our results provide evidence that oscillatory neuronal synchronization mediates neuronal communication within frequency-specific, large-scale cortical networks. Funding: Supported by European Union (IST-2005-027268, NEST-PATH-043457, and HEALTH-F2-2008-200728). Keywords: Cognition, EEG Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Poster Presentation Topic: Poster Sessions: Neurophysiology of Cognition and Attention Citation: Hipp JF, Engel AK and Siegel M (2011). Oscillatory synchronization in large-scale cortical networks predicts perception. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00307 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 Nov 2011; Published Online: 28 Nov 2011. * Correspondence: Dr. Joerg F Hipp, Centre for Integrative Neuroscience, Tuebingen, Tuebingen, Germany, joerg.hipp@googlemail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Joerg F Hipp Andreas K Engel Markus Siegel Google Joerg F Hipp Andreas K Engel Markus Siegel Google Scholar Joerg F Hipp Andreas K Engel Markus Siegel PubMed Joerg F Hipp Andreas K Engel Markus Siegel Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
Highlights
The brain is organized in a large number of functionally specialized but widely distributed cortical regions
We developed a new analysis approach based on cluster permutation statistics that allows for effectively imaging synchronized networks across the entire human brain
In accordance with human MEG (Donner et al, 2007; Gruber et al, 1999; Hall et al, 2005; Jensen et al, 2007; Siegel et al, 2007, 2008; Tallon-Baudry et al, 1996; Wyart and Tallon-Baudry, 2008) and invasive animal experiments (Gray and Singer, 1989; Gregoriou et al, 2009; Henrie and Shapley, 2005; Siegel and Konig, 2003), across most of visual cortex, stimulation induced a tonic increase of neural activity in the high gamma band (64–128 Hz), while activity in the theta (5–8 Hz), alpha (8–16 Hz), and beta (16–32 Hz) bands was reduced
Summary
The brain is organized in a large number of functionally specialized but widely distributed cortical regions. Long-range oscillatory synchronization has been suggested to dynamically establish such task-dependent networks of cortical regions (Engel et al, 2001; Fries, 2005; Salinas and Sejnowski, 2001; Varela et al, 2001). Disturbances of such synchronized networks have been implicated in several brain disorders, such as schizophrenia, autism, and Parkinson’s disease (Uhlhaas and Singer, 2006). The goal of this study was to test whether cortical synchronization is organized in such large-scale networks in the human brain. We aimed to characterize the spatial scale, structure, and spectral properties of such networks and sought to provide behavioral evidence for their functional relevance
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