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The avalanche-like behaviour of large-scale haemodynamic activity from wakefulness to deep sleep

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dc.contributor.author Bocaccio, Hernán
dc.contributor.author Pallavicini, Carla
dc.contributor.author Castro, Mariana Nair
dc.contributor.author Sánchez, Stella Maris
dc.contributor.author De Pino, Gabriela
dc.contributor.author Laufs, Helmut
dc.contributor.author Villarreal, Mirta Fabiana
dc.contributor.author Tagliazucchi, Enzo
dc.date.accessioned 2019-10-15T15:21:33Z
dc.date.available 2019-10-15T15:21:33Z
dc.date.issued 2019-09-11
dc.identifier.citation Bocaccio H, Pallavicini C, Castro MN, et al. The avalanche-like behaviour of large-scale haemodynamic activity from wakefulness to deep sleep. Journal of the Royal Society, Interface. 2019;16(158):20190262. doi:10.1098/rsif.2019.0262 en_US
dc.identifier.uri https://doi.org/10.1098/rsif.2019.0262
dc.identifier.uri https://repositorio.fleni.org.ar/handle/123456789/52
dc.description.abstract Increasing evidence suggests that responsiveness is associated with critical or near-critical cortical dynamics, which exhibit scale-free cascades of spatio-temporal activity. These cascades, or 'avalanches', have been detected at multiple scales, from in vitro and in vivo microcircuits to voltage imaging and brain-wide functional magnetic resonance imaging (fMRI) recordings. Criticality endows the cortex with certain information-processing capacities postulated as necessary for conscious wakefulness, yet it remains unknown how unresponsiveness impacts on the avalanche-like behaviour of large-scale human haemodynamic activity. We observed a scale-free hierarchy of co-activated connected clusters by applying a point-process transformation to fMRI data recorded during wakefulness and non-rapid eye movement (NREM) sleep. Maximum-likelihood estimates revealed a significant effect of sleep stage on the scaling parameters of the cluster size power-law distributions. Post hoc statistical tests showed that differences were maximal between wakefulness and N2 sleep. These results were robust against spatial coarse graining, fitting alternative statistical models and different point-process thresholds, and disappeared upon phase shuffling the fMRI time series. Evoked neural bistabilities preventing arousals during N2 sleep do not suffice to explain these differences, which point towards changes in the intrinsic dynamics of the brain that could be necessary to consolidate a state of deep unresponsiveness en_US
dc.language.iso eng en_US
dc.publisher Royal Society en_US
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Consciousness en_US
dc.subject Estado de Conciencia en_US
dc.subject Sleep en_US
dc.subject Sueño en_US
dc.subject Magnetic Resonance Imaging en_US
dc.subject Imagen por Resonancia Magnética en_US
dc.title The avalanche-like behaviour of large-scale haemodynamic activity from wakefulness to deep sleep en_US
dc.type info:eu-repo/semantics/publishedVersion
dc.type info:eu-repo/semantics/article en_US
dc.description.fil Fil: Bocaccio, Hernán. Fleni. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Pallavicini, Carla. Fleni. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Castro, Mariana Nair. Fleni. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Fisiología; Argentina
dc.description.fil Fil: Sánchez, Stella Maris. Fleni. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: De Pino, Gabriela. Fleni. Instituto de Neurociencias FLENI-CONICET; Argentina. Fleni. Departamento de Diagnóstico por Imágenes. Laboratorio de Neuroimágenes; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina.
dc.description.fil Fil: Laufs, Helmut. Christian-Albrechts-University. Department of Neurology; Alemania
dc.description.fil Fil: Villarreal, Mirta Fabiana. Fleni. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Tagliazucchi, Enzo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.relation.ispartofVOLUME 16
dc.relation.ispartofNUMBER 158
dc.relation.ispartofCOUNTRY Reino Unido
dc.relation.ispartofCITY Londres
dc.relation.ispartofTITLE Journal of the Royal Society, Interface
dc.relation.ispartofISSN 1742-5662
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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