Event Abstract Back to Event Strong local processing in human cortical slow wave propagation Balázs Hangya1*, Laszlo Entz2, Dániel Fabó2, Lóránd Eross2, Benedek Tihanyi1, Rita Jakus2, Viktor Varga1, Tamás Freund1 and István Ulbert2 1 Hungarian Academy of Sciences, Institute of Experimental Medicine, Hungary 2 Hungarian Academy of Sciences, National Institute of Neuroscience, Institute of Psychology, Hungary Cortical activity during deep stages of non rapid eye movement sleep (non-REM) is dominated by slow oscillations (SO). This type of activity has been proved to be crucial for memory consolidation via ensemble reactivation and synaptic downscaling. Based on the analysis of temporal lags between the troughs of SO waves recorded with high density scalp EEG, these waves were shown to linearly propagate over wide cortical areas appearing as traveling waves. Detailed spatio-temporal analysis of SO propagation dynamics would provide an important step in understanding sleep related cortical activity. Thus, we investigated convergence, divergence and non-continuities in the spread of slow wave activity. Instead of considering only the peak or trough of each wave, we correlated the whole waveforms of SO from human electrocorticography (ECoG) recordings using mutual information (MI). ECoG was obtained from patients having drug resistant epilepsy implanted with frontal grid electrodes during natural non-REM sleep. Using MI we were able to gain insight into detailed SO dynamics by constructing a time-dependent spatial map of connections between cortical areas revealing slow wave propagation directions, speed and strength. Waves of SO propagated predominantly to adjacent electrodes, albeit rapid non-continuities (jumps) to distant electrodes also occurred. MI analysis revealed significant convergence and divergence of SO. The electrodes receiving the most convergent information were similar to those with high divergence rate, probably constituting the hubs of cortical network. MI values were highest associated to the ascending segments of slow waves, showing that information between cortical areas might mostly be conveyed during this phase of the oscillatory cycle. Thus, information theoretical analysis uncovered complex propagation patterns of cortical slow waves that might shed new light on the traditional view of ‘travelling waves’. Conference: IBRO International Workshop 2010, Pécs, Hungary, 21 Jan - 23 Jan, 2010. Presentation Type: Poster Presentation Topic: Cognition and behavior Citation: Hangya B, Entz L, Fabó D, Eross L, Tihanyi B, Jakus R, Varga V, Freund T and Ulbert I (2010). Strong local processing in human cortical slow wave propagation. Front. Neurosci. Conference Abstract: IBRO International Workshop 2010. doi: 10.3389/conf.fnins.2010.10.00151 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: 29 Apr 2010; Published Online: 29 Apr 2010. * Correspondence: Balázs Hangya, Hungarian Academy of Sciences, Institute of Experimental Medicine, Budapest, Hungary, hangyab@koki.hu 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 Balázs Hangya Laszlo Entz Dániel Fabó Lóránd Eross Benedek Tihanyi Rita Jakus Viktor Varga Tamás Freund István Ulbert Google Balázs Hangya Laszlo Entz Dániel Fabó Lóránd Eross Benedek Tihanyi Rita Jakus Viktor Varga Tamás Freund István Ulbert Google Scholar Balázs Hangya Laszlo Entz Dániel Fabó Lóránd Eross Benedek Tihanyi Rita Jakus Viktor Varga Tamás Freund István Ulbert PubMed Balázs Hangya Laszlo Entz Dániel Fabó Lóránd Eross Benedek Tihanyi Rita Jakus Viktor Varga Tamás Freund István Ulbert 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.