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Spike Avalanches Exhibit Universal Dynamics across the Sleep-Wake Cycle

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dc.contributor.author Nicolelis, Miguel A. L. en_US
dc.date.accessioned 2011-06-21T17:32:20Z
dc.date.available 2011-06-21T17:32:20Z
dc.date.issued 2010 en_US
dc.identifier.citation Ribeiro,Tiago L.;Copelli,Mauro;Caixeta,Fabio;Belchior,Hindiael;Chialvo,Dante R.;Nicolelis,Miguel A. L.;Ribeiro,Sidarta. 2010. Spike Avalanches Exhibit Universal Dynamics across the Sleep-Wake Cycle. Plos One 5(11): e14129-e14129. en_US
dc.identifier.issn 1932-6203 en_US
dc.identifier.uri http://hdl.handle.net/10161/4584
dc.description.abstract Background: Scale-invariant neuronal avalanches have been observed in cell cultures and slices as well as anesthetized and awake brains, suggesting that the brain operates near criticality, i.e. within a narrow margin between avalanche propagation and extinction. In theory, criticality provides many desirable features for the behaving brain, optimizing computational capabilities, information transmission, sensitivity to sensory stimuli and size of memory repertoires. However, a thorough characterization of neuronal avalanches in freely-behaving (FB) animals is still missing, thus raising doubts about their relevance for brain function. Methodology/Principal Findings: To address this issue, we employed chronically implanted multielectrode arrays (MEA) to record avalanches of action potentials (spikes) from the cerebral cortex and hippocampus of 14 rats, as they spontaneously traversed the wake-sleep cycle, explored novel objects or were subjected to anesthesia (AN). We then modeled spike avalanches to evaluate the impact of sparse MEA sampling on their statistics. We found that the size distribution of spike avalanches are well fit by lognormal distributions in FB animals, and by truncated power laws in the AN group. FB data surrogation markedly decreases the tail of the distribution, i.e. spike shuffling destroys the largest avalanches. The FB data are also characterized by multiple key features compatible with criticality in the temporal domain, such as 1/f spectra and long-term correlations as measured by detrended fluctuation analysis. These signatures are very stable across waking, slow-wave sleep and rapid-eye-movement sleep, but collapse during anesthesia. Likewise, waiting time distributions obey a single scaling function during all natural behavioral states, but not during anesthesia. Results are equivalent for neuronal ensembles recorded from visual and tactile areas of the cerebral cortex, as well as the hippocampus. Conclusions/Significance: Altogether, the data provide a comprehensive link between behavior and brain criticality, revealing a unique scale-invariant regime of spike avalanches across all major behaviors. en_US
dc.language.iso en_US en_US
dc.publisher PUBLIC LIBRARY SCIENCE en_US
dc.relation.isversionof doi:10.1371/journal.pone.0014129 en_US
dc.subject object recognition memory en_US
dc.subject dorsal raphe neurons en_US
dc.subject rat cerebral-cortex en_US
dc.subject propofol analogs en_US
dc.subject gaba(a) receptor en_US
dc.subject locus-coeruleus en_US
dc.subject cortical activity en_US
dc.subject brain networks en_US
dc.subject visual-cortex en_US
dc.subject awake rats en_US
dc.subject biology en_US
dc.subject multidisciplinary sciences en_US
dc.title Spike Avalanches Exhibit Universal Dynamics across the Sleep-Wake Cycle en_US
dc.title.alternative en_US
dc.description.version Version of Record en_US
duke.date.pubdate 2010-11-30 en_US
duke.description.endpage e14129 en_US
duke.description.issue 11 en_US
duke.description.startpage e14129 en_US
duke.description.volume 5 en_US
dc.relation.journal Plos One en_US

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