Complex propagation patterns characterize human cortical activity during slow-wave sleep

Balázs Hangya, Benedek T. Tihanyi, László Entz, Dániel Fabó, Loránd Eross, Lucia Wittner, Rita Jakus, Viktor Varga, Tamás F. Freund, István Ulbert

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Cortical electrical activity during non rapid eye movement (non-REM) sleep is dominated by slow-wave activity (SWA). At larger spatial scales (~2-30 cm), investigated by scalp EEG recordings, SWA has been shown to propagate globally over wide cortical regions as traveling waves, which has been proposed to serve as a temporal framework for neural plasticity. However, whether SWA dynamics at finer spatial scales also reflects the orderly propagation has not previously been investigated in humans. To reveal the local, finer spatial scale (~1-6 cm) patterns of SWA propagation during non-REM sleep, electrocortico graphic (ECoG) recordings were conducted from subdurally implanted electrode grids and a nonlinear correlation technique [mutual information (MI)] was implemented. MI analysis revealed spatial maps of correlations between cortical areas demonstrating SWA propagation directions, speed, and association strength. Highest correlations, indicating significant coupling, were detected during the initial positive-going deflection of slow waves. SWA propagated predominantly between adjacent cortical areas, albeit spatial non continuities were also frequently observed. MI analysis further uncovered significant convergence and divergence patterns. Areas receiving the most convergent activity were similar to those with high divergence rate, while reciprocal and circular propagation of SWA was also frequent. We hypothesize that SWA is characterized by distinct attributes depending on the spatial scale observed. At larger spatial scales, the orderly SWA propagation dominates; at the finer scale of the ECoG recordings, non-REM sleep is characterized by complex SWA propagation patterns.

Original languageEnglish
Pages (from-to)8770-8779
Number of pages10
JournalJournal of Neuroscience
Volume31
Issue number24
DOIs
Publication statusPublished - Jun 15 2011

ASJC Scopus subject areas

  • Neuroscience(all)

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