Event Abstract

Exploring the propagation of human cortical slow waves: an information theory method

  • 1 Institute of Experimental Medicine, Hungarian Academy of Sciences, Hungary
  • 2 National Institute of Neurosurgery, Hungary
  • 3 Institute of Psychology, Hungarian Academy of Sciences, Hungary
  • 4 Peter Pazmany Catholic University, Hungary

Cortical activity during non rapid eye movement sleep is dominated by slow oscillations. This type of activity has been proved to be crucial for memory consolidation and synaptic downscaling, a process which maintains storage capacity. Based on the analysis of temporal lags between the peaks of slow waves recorded on different EEG electrodes, these waves were supposed to linearly propagate over wide cortical areas (“traveling waves”). Detailed analysis of slow wave propagation dynamics including the study of preferred trajectories, convergences, divergences, circles and “jumps” (propagating to non-adjacent areas) would provide an inevitable step in understanding sleep-related cortical activity. However, an appropriate method that could answer these questions is still lacking. Thus, our aim was to design an analysis tool which is capable of unraveling the fine dynamics of slow wave propagation. Instead of considering only the peak of each wave, we correlated the whole waveforms of slow waves from multichannel human cortical EEG recordings using mutual information (MI). MI provides the amount of information shared by two variables and is considered a non-linear measure of covariation. On each channel, one-second-long EEG segments were correlated to later segments from all other electrodes by calculating MI. The significant temporal maximum of MI showed the propagation of a wave, the maximum location provided propagation time and the maximal value indicated correlation strength. Thus we were able to gain insight to detailed slow wave dynamics by constructing a time-dependent map of connections between cortical areas revealing slow wave propagation directions, speed and strength.

Conference: 12th Meeting of the Hungarian Neuroscience Society, Budapest, Hungary, 22 Jan - 24 Jan, 2009.

Presentation Type: Poster Presentation

Topic: Research on the cerebral cortex and related structures

Citation: Hangya B, Varga V, Eross L, Entz L, Fabo D and Ulbert I (2009). Exploring the propagation of human cortical slow waves: an information theory method. Front. Syst. Neurosci. Conference Abstract: 12th Meeting of the Hungarian Neuroscience Society. doi: 10.3389/conf.neuro.01.2009.04.195

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Received: 06 Mar 2009; Published Online: 06 Mar 2009.

* Correspondence: Balazs Hangya, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary, hangyab@koki.hu